├── .gitignore ├── LICENSE ├── README.md ├── create_map ├── 1_sampleTrainingGrid.Rmd └── 3_assembleDataFrame.ipynb ├── data ├── arms_rotation │ └── ARMS_priorCrop.csv ├── cdl_counties │ ├── 1999_CDL_13States_allclasses_area_m2.csv │ ├── 2000_CDL_13States_allclasses_area_m2.csv │ ├── 2001_CDL_13States_allclasses_area_m2.csv │ ├── 2002_CDL_13States_allclasses_area_m2.csv │ ├── 2003_CDL_13States_allclasses_area_m2.csv │ ├── 2004_CDL_13States_allclasses_area_m2.csv │ ├── 2005_CDL_13States_allclasses_area_m2.csv │ ├── 2006_CDL_13States_allclasses_area_m2.csv │ ├── 2007_CDL_13States_allclasses_area_m2.csv │ ├── 2008_CDL_13States_allclasses_area_m2.csv │ ├── 2009_CDL_13States_allclasses_area_m2.csv │ ├── 2010_CDL_13States_allclasses_area_m2.csv │ ├── 2011_CDL_13States_allclasses_area_m2.csv │ ├── 2012_CDL_13States_allclasses_area_m2.csv │ ├── 2013_CDL_13States_allclasses_area_m2.csv │ ├── 2014_CDL_13States_allclasses_area_m2.csv │ ├── 2015_CDL_13States_allclasses_area_m2.csv │ ├── 2016_CDL_13States_allclasses_area_m2.csv │ ├── 2017_CDL_13States_allclasses_area_m2.csv │ └── 2018_CDL_13States_allclasses_area_m2.csv ├── csdl_counties │ ├── 1999_CSDL_13States_area_m2.csv │ ├── 2000_CSDL_13States_area_m2.csv │ ├── 2001_CSDL_13States_area_m2.csv │ ├── 2002_CSDL_13States_area_m2.csv │ ├── 2003_CSDL_13States_area_m2.csv │ ├── 2004_CSDL_13States_area_m2.csv │ ├── 2005_CSDL_13States_area_m2.csv │ ├── 2006_CSDL_13States_area_m2.csv │ ├── 2007_CSDL_13States_area_m2.csv │ ├── 2008_CSDL_13States_area_m2.csv │ ├── 2009_CSDL_13States_area_m2.csv │ ├── 2010_CSDL_13States_area_m2.csv │ ├── 2011_CSDL_13States_area_m2.csv │ ├── 2012_CSDL_13States_area_m2.csv │ ├── 2013_CSDL_13States_area_m2.csv │ ├── 2014_CSDL_13States_area_m2.csv │ ├── 2015_CSDL_13States_area_m2.csv │ ├── 2016_CSDL_13States_area_m2.csv │ ├── 2017_CSDL_13States_area_m2.csv │ └── 2018_CSDL_13States_area_m2.csv ├── csdl_rotation │ ├── 2001_CSDL_cropsYearPrior_corn.csv │ ├── 2005_CSDL_cropsYearPrior_corn.csv │ └── 2010_CSDL_cropsYearPrior_corn.csv ├── example_samples │ ├── allFeatures_grid250pts_2018_0.csv │ ├── harmonics_2terms_omega1-5_grid250pts_2018_0.csv │ └── weatherVars_grid250pts_2018_0.csv ├── landsat_availability │ ├── 1999_landsatAvailability_JJA_13states.csv │ ├── 2000_landsatAvailability_JJA_13states.csv │ ├── 2001_landsatAvailability_JJA_13states.csv │ ├── 2002_landsatAvailability_JJA_13states.csv │ ├── 2003_landsatAvailability_JJA_13states.csv │ ├── 2004_landsatAvailability_JJA_13states.csv │ ├── 2005_landsatAvailability_JJA_13states.csv │ ├── 2006_landsatAvailability_JJA_13states.csv │ ├── 2007_landsatAvailability_JJA_13states.csv │ ├── 2008_landsatAvailability_JJA_13states.csv │ ├── 2009_landsatAvailability_JJA_13states.csv │ ├── 2010_landsatAvailability_JJA_13states.csv │ ├── 2011_landsatAvailability_JJA_13states.csv │ ├── 2012_landsatAvailability_JJA_13states.csv │ ├── 2013_landsatAvailability_JJA_13states.csv │ ├── 2014_landsatAvailability_JJA_13states.csv │ ├── 2015_landsatAvailability_JJA_13states.csv │ ├── 2016_landsatAvailability_JJA_13states.csv │ ├── 2017_landsatAvailability_JJA_13states.csv │ └── 2018_landsatAvailability_JJA_13states.csv └── nass_counties │ ├── NASS_cropAreaCorn_1999to2018_raw.csv │ └── NASS_cropAreaSoy_1999to2018_raw.csv ├── results ├── CSDLvsCDL_users_producers_accuracies.csv └── webster_city_legend.png └── validate_map ├── 1_NASSvsCSDLvsCDL.ipynb ├── 2_countyTimeTrends.ipynb ├── 3_cropRotation.ipynb └── 4_LandsatAvailability.ipynb /.gitignore: -------------------------------------------------------------------------------- 1 | .ipynb* 2 | .DS_Store 3 | *.Rhistory 4 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2020 David Lobell's Lab Repo 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Corn Soy Data Layer 2 | 3 | This repo contains code that walks through key steps to create and validate the Corn-Soy Data Layer (CSDL), a map that classifies corn and soybean in 13 states in the US Midwest from 1999-2018 at 30m resolution. Although the USDA's Cropland Data Layer (CDL) offers crop type maps across the conterminous US from 2008 onward, such maps are missing in many Midwestern states or are uneven in quality before 2008. To fill these data gaps, we used the now-public Landsat archive and cloud computing services to map corn and soybean, the primary crops in the Midwest, back to 1999. 4 | 5 |

6 | 7 | ## Dataset 8 | 9 | Our dataset can be accessed through one of two ways: 10 | - Google Earth Engine asset [here](https://code.earthengine.google.com/?asset=projects/lobell-lab/us_croptype_hindcast/CSDL) 11 | - Zenodo repo housing GeoTIFFs [here](https://doi.org/10.5281/zenodo.3742742) 12 | 13 | Map legend: 14 | - 0 = outside study area 15 | - 1 = corn 16 | - 5 = soy 17 | - 9 = other crop 18 | - 255 = non-crop (masked by NLCD) 19 | 20 | Values were chosen to be consistent with CDL values when possible. 21 | 22 | When using the dataset, please cite: [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4110647.svg)](https://doi.org/10.5281/zenodo.4110647) 23 | 24 | ## Usage Notes 25 | 26 | We recommend that users consider metrics such as (1) [user's and producer's accuracy with CDL](https://github.com/LobellLab/csdl/blob/master/results/CSDLvsCDL_users_producers_accuracies.csv) and (2) [R2 with NASS statistics](https://github.com/LobellLab/csdl/blob/master/validate_map/1_NASSvsCSDLvsCDL.ipynb) across space and time to determine in which states/counties and years CSDL is of high quality. This can be done with the CSV file of user's and producer's accuracies and annual county-level statistics we have included in this repo. 27 | 28 | ## Code dependencies 29 | 30 | * To sample training points: R version 3.5.1, dplyr 0.8.0.1, sf 0.6-3, raster 2.6-7, rgdal 1.3-4, salustools 0.1.0, sp 1.3-1 31 | 32 | * To train our classifier and create the final maps: Google Earth Engine 33 | 34 | * To perform analyses: Python 3.7.3, numpy 1.16.4, pandas 0.24.2, matplotlib 3.1.0, sklearn 0.21.2, plotly 4.5.0 35 | 36 | ## Map creation 37 | 38 | 1. Sample a set of training coordinates. [[R Markdown file](https://github.com/LobellLab/csdl/blob/master/create_map/1_sampleTrainingGrid.Rmd)] 39 | 2. Export Landsat harmonic regression features. [[Earth Engine script](https://code.earthengine.google.com/?scriptPath=users%2Fsherrie%2Fcsdl%3A1_exportLandsatHarmonics)] 40 | 3. After feature selection, assemble data into a dataframe for ingestion into GEE. [[Jupyter notebook](https://github.com/LobellLab/csdl/blob/master/create_map/3_assembleDataFrame.ipynb)] 41 | 4. Train random forest classifier in GEE. [[Earth Engine script](https://code.earthengine.google.com/?scriptPath=users%2Fsherrie%2Fcsdl%3A4_createClassifiedMap)] 42 | 43 | ## Map validation and error analysis 44 | 45 | 1. Aggregated CSDL versus county-level NASS statistics. [[Jupyter notebook](https://github.com/LobellLab/csdl/blob/master/validate_map/1_NASSvsCSDLvsCDL.ipynb)] 46 | 2. County-level CSDL time trends versus NASS time trends. [[Jupyter notebook](https://github.com/LobellLab/csdl/blob/master/validate_map/2_countyTimeTrends.ipynb)] 47 | 3. Validate CSDL against ARMS crop rotation statistics. [[Jupyter notebook](https://github.com/LobellLab/csdl/blob/master/validate_map/3_cropRotation.ipynb)] 48 | 4. Landsat availability over the years. [[Jupyter notebook](https://github.com/LobellLab/csdl/blob/master/validate_map/4_LandsatAvailability.ipynb)] 49 | 50 | -------------------------------------------------------------------------------- /create_map/1_sampleTrainingGrid.Rmd: -------------------------------------------------------------------------------- 1 | --- 2 | title: "Make master points" 3 | author: "Jill Deines" 4 | date: "5/13/2019" 5 | output: 6 | html_document: 7 | toc: true 8 | toc_float: true 9 | keep_md: true 10 | --- 11 | 12 | Goal: Make a shapefile of the randomly generated points for sampling harmonics. Generates a polygon mesh grid to sample within - polygons can be used to batch GEE harmonics sampling 13 | 14 | 15 | ```{r knitrOpts, echo=FALSE} 16 | library(knitr) 17 | opts_chunk$set(cache=FALSE, fig.path='../figure/00.055_makeShapefile/') 18 | ``` 19 | 20 | **R Packages Needed** 21 | 22 | ```{r packages, message=FALSE, echo=TRUE, eval=TRUE} 23 | library(dplyr) 24 | library(sf) 25 | library(rgdal) 26 | library(raster) 27 | library(stringr) 28 | library(salustools) 29 | 30 | sessionInfo() 31 | ``` 32 | 33 | **Directories** 34 | 35 | ```{r setDirs} 36 | # input shapefiles 37 | gisDir <- '/Users/deinesji/Dropbox/2Stanford/projects/us_croptype_hindcast/data/GIS' 38 | states <- 'States_continental' #.shp 39 | counties <- 'CornBeltMax_counties.geojson' 40 | 41 | outputFolder <- '/Users/deinesji/Dropbox/2Stanford/projects/us_croptype_hindcast/data/GIS/point_grids' 42 | outputName <- 'SamplingGrid_v03_maxCornBelt_50km250pts.shp' 43 | 44 | polygridName <- 'SamplingGrid_poly_v03_50km.shp' 45 | ``` 46 | 47 | # Load files 48 | 49 | ```{r load} 50 | states <- readOGR(gisDir, states) 51 | statesWanted <- c('ND',"SD", 'NE', "KS", 'MN','IA','MO','WI','IL','IN','MI','OH','KY') 52 | states13.ll <- states[states$STATE_ABBR %in% statesWanted,] 53 | plot(states13.ll) 54 | 55 | # work in aea, epsg:5070 56 | aeaProj <- '+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=23 +lon_0=-96 +x_0=0 +y_0=0 +ellps=GRS80 +towgs84=1,1,-1,0,0,0,0 +units=m +datum=NAD83 +no_defs' 57 | states13 <- spTransform(states13.ll, CRS(aeaProj)) 58 | plot(states13) 59 | ``` 60 | 61 | # Create raster grid 62 | 63 | ```{r makeGrid} 64 | corners <- bbox(states13) 65 | grid <- raster(crs = aeaProj, res = 50000, 66 | extent(corners[1,1], #xmin 67 | corners[1,2], #xmax 68 | corners[2,1], #ymin 69 | corners[2,2])) #ymax 70 | grid[] <- 1:ncell(grid) 71 | plot(grid) 72 | plot(states13, add=TRUE) 73 | 74 | # count active cells 75 | grid[] <- 1 76 | gridmask <- mask(grid, states13) 77 | plot(gridmask) 78 | plot(states13, add = TRUE) 79 | ncells <- cellStats(gridmask, stat = 'sum', na.rm=TRUE) 80 | ncells 81 | 82 | ncells * 250 83 | ``` 84 | 85 | That works! 86 | 87 | # Stratified random sample 88 | makePoints 89 | ```{r makePoints} 90 | # each cell has unique value for stratification 91 | gridmask[!is.na(gridmask)] <- 1:ncells 92 | plot(gridmask) 93 | 94 | # increase resolution so multiple cell options within each raster value 95 | highRes <- disaggregate(gridmask, fact = 100) 96 | 97 | # sample 250 points of each cell value 98 | samp_strat.rand <- sampleStratified(highRes, 250, xy = TRUE, sp=TRUE, na.rm = TRUE) 99 | 100 | # add state and county 101 | countyPoly <- st_read(paste0(gisDir,'/', counties)) %>% 102 | dplyr::select(c('GEOID')) %>% 103 | rename(fips5 = GEOID) 104 | 105 | # convert to sf 106 | points_sf <- st_as_sf(samp_strat.rand) 107 | 108 | # wgs84 109 | points_ll <- points_sf %>% 110 | st_transform(4326) %>% 111 | rename(gridID = layer) %>% 112 | dplyr::select(gridID) %>% 113 | mutate(lat = st_coordinates(.)[,2], 114 | lon = st_coordinates(.)[,1]) 115 | 116 | # unique ID 117 | points_pid <- points_ll %>% 118 | mutate(gridNum = str_pad(gridID, 4, pad='0')) %>% 119 | group_by(gridID) %>% 120 | mutate(gridpt = str_pad(row_number(),3,pad='0') )%>% 121 | mutate(uniqueID = paste0(gridNum, '_', gridpt)) %>% 122 | dplyr::select(uniqueID, gridID, lat, lon) 123 | 124 | # add state and county 125 | points_meta <- points_pid %>% 126 | st_transform(5070) %>% 127 | st_join(countyPoly %>% st_transform(5070)) %>% 128 | mutate(fips5 = str_pad(fips5, 5, pad = '0')) %>% 129 | st_transform(4326) 130 | 131 | points_meta2 <- points_meta %>% 132 | mutate(FIPS = substr(fips5, 1,2)) %>% 133 | left_join(salustools::stateFipsLookup) %>% 134 | rename(state = StateAbbrev) %>% 135 | dplyr::select(-c(StateName, FIPS)) 136 | 137 | # drop points outside of 13 states 138 | points_inside <- points_meta2 %>% 139 | filter(!is.na(fips5)) 140 | nrow(points_inside) 141 | 142 | # does that leave any grids with pitifully low points? 143 | points_inside %>% 144 | group_by(gridID) %>% 145 | summarize(n = n()) %>% 146 | arrange(n) 147 | 148 | table(points_inside$state) 149 | 150 | # county numbers 151 | countyCounts <- points_inside %>% 152 | group_by(fips5, state) %>% 153 | summarize(count = n()) 154 | 155 | summary(countyCounts$count) 156 | 157 | countyCounts %>% arrange(-count) 158 | countyCounts %>% arrange(count) 159 | 160 | # mean county count by state 161 | countyCounts %>% 162 | group_by(state) %>% 163 | summarize(meanCount = mean(count)) 164 | 165 | write_sf(points_inside, paste0(outputFolder, '/', outputName)) 166 | ``` 167 | 168 | 169 | 170 | # and export the grid polygons 171 | 172 | ```{r polygonizeGrid, eval=FALSE} 173 | polygons <- rasterToPolygons(gridmask) 174 | poly_sf <- st_as_sf(polygons) %>% 175 | st_transform(4326) 176 | plot(poly_sf) 177 | 178 | polyOut <- poly_sf %>% 179 | rename(gridID = layer) 180 | unique(polyOut$gridID) 181 | 182 | write_sf(polyOut, paste0(outputFolder, '/', polygridName)) 183 | ``` 184 | 185 | 186 | -------------------------------------------------------------------------------- /data/arms_rotation/ARMS_priorCrop.csv: -------------------------------------------------------------------------------- 1 | state,year,corn_estimate,corn_RSE,corn_stat_unreliable,soy_estimate,soy_RSE,soy_stat_unreliable 2 | ND,2001,114.89,0.0,1.0,252.66,0.0,1.0 3 | SD,2001,398.77,0.0,1.0,2796.68,0.0,0.0 4 | NE,2001,3215.92,0.0,0.0,4186.42,0.0,0.0 5 | KS,2001,922.64,0.0,0.0,1416.65,0.0,0.0 6 | MO,2001,152.78,0.0,1.0,2409.23,0.0,0.0 7 | IA,2001,876.09,0.0,1.0,10520.36,0.0,0.0 8 | MN,2001,1358.64,0.0,0.0,4958.23,0.0,0.0 9 | WI,2001,1373.48,0.0,0.0,1352.16,0.0,0.0 10 | IL,2001,834.15,0.0,1.0,9932.8,0.0,0.0 11 | IN,2001,872.89,0.0,0.0,4669.77,0.0,0.0 12 | KY,2001,449.22,0.0,0.0,388.93,0.0,0.0 13 | OH,2001,389.82,0.0,0.0,2162.11,0.0,0.0 14 | MI,2001,704.96,0.0,0.0,948.85,0.0,0.0 15 | ND,2005,83.71,0.0,1.0,769.41,0.0,0.0 16 | SD,2005,936.64,0.0,0.0,2672.81,0.0,0.0 17 | NE,2005,2518.94,0.0,0.0,4654.01,0.0,0.0 18 | KS,2005,703.7,0.0,1.0,1482.58,0.0,0.0 19 | MO,2005,178.82,0.0,1.0,2564.06,0.0,0.0 20 | IA,2005,3368.09,0.0,0.0,9272.88,0.0,0.0 21 | MN,2005,1666.18,0.0,0.0,5212.82,0.0,0.0 22 | WI,2005,1757.12,0.0,0.0,1253.7,0.0,0.0 23 | IL,2005,2970.74,0.0,0.0,8870.42,0.0,0.0 24 | IN,2005,1313.54,0.0,1.0,4500.96,0.0,0.0 25 | KY,2005,255.58,0.0,1.0,881.02,0.0,0.0 26 | OH,2005,434.76,0.0,1.0,1963.61,0.0,0.0 27 | MI,2005,642.89,0.0,0.0,943.69,0.0,0.0 28 | ND,2010,,,,1036.85,15.59,0.0 29 | SD,2010,598.05,44.2,1.0,3113.08,10.23,0.0 30 | NE,2010,3101.16,16.94,0.0,5124.92,10.19,0.0 31 | KS,2010,1076.32,25.07,1.0,1906.66,14.31,0.0 32 | MO,2010,237.59,41.95,1.0,2871.91,3.91,0.0 33 | IA,2010,4128.62,19.37,0.0,8959.13,9.04,0.0 34 | MN,2010,2213.87,28.62,0.0,4850.52,12.29,0.0 35 | WI,2010,1750.82,14.64,0.0,1496.71,21.62,0.0 36 | IL,2010,4097.13,13.56,0.0,8059.49,6.86,0.0 37 | IN,2010,1844.76,41.69,1.0,4002.23,19.3,0.0 38 | KY,2010,,,,963.74,15.61,0.0 39 | OH,2010,365.78,60.27,0.0,2685.65,10.83,0.0 40 | MI,2010,715.57,30.17,0.0,1127.07,22.58,0.0 41 | -------------------------------------------------------------------------------- /data/csdl_counties/2006_CSDL_13States_area_m2.csv: -------------------------------------------------------------------------------- 1 | masterid,0,1,5,year,STATEFP,COUNTYFP 2 | 26141,4.881476385456905E9,3.0136666059127506E7,1.7412096860298425E7,2006,26,141 3 | 26007,2.8950834899253497E9,2.950899117066124E7,1.5339001111710131E7,2006,26,007 4 | 26001,2.839890173875597E9,1.0835428622131348E7,3995365.3989868164,2006,26,001 5 | 26033,3.1116201538682146E9,95718.0972290039,,2006,26,033 6 | 26135,,4312970.635620117,850946.6537475586,2006,26,135 7 | 26119,,1.0856494733884325E7,4575222.062970569,2006,26,119 8 | 26031,2.2429622534131584E8,2926450.689703728,717224.0169536516,2006,26,031 9 | 26137,,4530350.562020575,1946598.2060032266,2006,26,137 10 | 26009,1.554442695357914E8,1.2917728350180235E7,9401760.83918409,2006,26,009 11 | 26029,2.6240127654209585E9,7617329.523409256,2747187.209545659,2006,26,029 12 | 26047,1.0127870375932679E9,4438966.459472656,1106206.350402832,2006,26,047 13 | 26097,2.818424955915995E9,530063.7039794922,215285.16137695312,2006,26,097 14 | 26003,1.0628975058763126E10,784524.7814941406,341605.94140625,2006,26,003 15 | 26083,1.4071307926519072E10,9162.136047363281,,2006,26,083 16 | 26095,2.5388552845397797E9,899850.8620605469,31717.54034423828,2006,26,095 17 | 26153,1.7062708968125033E9,197678.89752197266,164536.07482910156,2006,26,153 18 | 26055,3.4339273623472357E8,7179950.9275512695,3897966.7911376953,2006,26,055 19 | 26089,5.679284851659938E9,4994467.66015625,1802185.963684082,2006,26,089 20 | 26041,1.936115961583447E9,9719969.159769693,4349905.360412598,2006,26,041 21 | 55029,4.947583742859671E9,9.927229804161784E7,4.098357923999287E7,2006,55,029 22 | 26109,7.57345614071018E8,5.2121533807649985E7,1.5344107446411133E7,2006,26,109 23 | 55075,3.0794476152515376E8,1.6283335113206643E8,2.7326849492348585E7,2006,55,075 24 | 26103,4.0029489883193793E9,1091726.413742963,819600.805847168,2006,26,103 25 | 26013,3.881250624127722E8,189183.2710571289,69020.3071899414,2006,26,013 26 | 26061,1.3041315844091897E9,154868.8790283203,46705.44598388672,2006,26,061 27 | 26071,,379825.5531518076,799818.1947631836,2006,26,071 28 | 26043,,2546834.5114028035,1744950.6138916016,2006,26,043 29 | 55037,,1350329.9795829025,42661.50476074219,2006,55,037 30 | 55083,3.229720355200867E8,2.793778791256422E8,6.683196799877356E7,2006,55,083 31 | 55041,,3252948.232736625,612289.5507202148,2006,55,041 32 | 55078,,755261.6338419598,76775.19632137523,2006,55,078 33 | 55067,,8.372329452096498E7,2.6446706430750947E7,2006,55,067 34 | 55125,,1399220.1101074219,720883.9568481445,2006,55,125 35 | 26053,8.773097818848375E8,6206.30859375,1866.5607299804688,2006,26,053 36 | 55085,,1.2364237361450195E7,4957947.367614746,2006,55,085 37 | 55115,,3.521721384817271E8,7.570509709870508E7,2006,55,115 38 | 55073,,4.547935150373959E8,1.744583575021013E8,2006,55,073 39 | 55069,,4.538815638687433E7,1.3299156424039474E7,2006,55,069 40 | 55051,2.984175504140737E8,1538529.2789916992,65116.825744628906,2006,55,051 41 | 26131,6.219439703813917E9,434699.91833496094,2482.6559448242188,2006,26,131 42 | 27031,4.443442816149324E9,,4858.7003173828125,2006,27,031 43 | 55003,3.4321786494660587E9,3539437.803179333,421975.150390625,2006,55,003 44 | 27075,1.7846877848056614E9,,12854.173889160156,2006,27,075 45 | 27137,3.32730427119687E8,101609.16583251953,344121.43798828125,2006,27,137 46 | 55007,1.3413417382691703E9,5771058.511886058,595470.4049072266,2006,55,007 47 | 55099,,1.1860603977261413E7,2087511.2995605469,2006,55,099 48 | 55119,,1.637212286112592E8,5.279327541144805E7,2006,55,119 49 | 55019,,3.9805926405229753E8,1.3080053729767755E8,2006,55,019 50 | 55107,,8.839197876075056E7,2.3755329604662366E7,2006,55,107 51 | 55017,,4.31030264728255E8,9.645039949790877E7,2006,55,017 52 | 55113,,1.836489653952828E7,7846369.655068791,2006,55,113 53 | 55129,,2.914970677763887E7,1.2069909229919434E7,2006,55,129 54 | 55031,3.761802461727835E8,1166753.1057128906,11199.170654296875,2006,55,031 55 | 55005,,2.918672257118674E8,1.0934340410747023E8,2006,55,005 56 | 55033,,4.30360181494459E8,9.969505453436854E7,2006,55,033 57 | 55095,,2.1550839511920595E8,6.849787104653345E7,2006,55,095 58 | 55109,,3.1518828630014837E8,1.117575172674527E8,2006,55,109 59 | 55013,,4.781565456488276E7,1.6136936213552438E7,2006,55,013 60 | 27115,,4.2658409871706255E7,4.755323123408777E7,2006,27,115 61 | 27017,137835.2401111079,1111484.23809982,430256.3776972752,2006,27,017 62 | 27061,,1053276.6251220703,3602774.419189453,2006,27,061 63 | 27001,,2661655.6165771484,1.884832905267406E7,2006,27,001 64 | 27021,,9685440.988659669,1.7363406713456217E7,2006,27,021 65 | 27035,,1.465486955840155E7,1.587009992930621E7,2006,27,035 66 | 27095,,7.655265274777615E7,5.68527745861814E7,2006,27,095 67 | 27097,,2.5567651346274844E8,1.4513074829035023E8,2006,27,097 68 | 27065,,3.572062791268502E7,4.21213305167301E7,2006,27,065 69 | 27025,,8.067987095199072E7,8.704217220469227E7,2006,27,025 70 | 27059,,1.1009577422419463E8,1.1098119257214978E8,2006,27,059 71 | 27163,,7.455093059285983E7,5.363370971747975E7,2006,27,163 72 | 27123,,82082.0746459961,558090.2388916016,2006,27,123 73 | 27003,,1.1972219392137475E7,1.7903512170733765E7,2006,27,003 74 | 27053,,5.69010768118152E7,4.343457940717654E7,2006,27,053 75 | 27171,,3.223673335857998E8,2.70545447263603E8,2006,27,171 76 | 27141,,9.663179784268463E7,8.008093469290724E7,2006,27,141 77 | 27009,,2.0224883385559168E8,1.2901378802053058E8,2006,27,009 78 | 27145,,6.838737783464322E8,3.9318475314794445E8,2006,27,145 79 | 27019,,2.5023485445718306E8,1.428890181349789E8,2006,27,019 80 | 27085,,5.520452978710086E8,3.26994116942519E8,2006,27,085 81 | 27093,,5.3371492047125274E8,3.791088432890912E8,2006,27,093 82 | 27067,,6.670271802540188E8,4.3505570782312536E8,2006,27,067 83 | 27129,,1.0949627432138119E9,8.201747805300162E8,2006,27,129 84 | 27121,,3.923982383010194E8,3.180770132159059E8,2006,27,121 85 | 27041,,2.58300547636262E8,2.3124586364156324E8,2006,27,041 86 | 27153,,1.779247101771968E8,1.9622938302487388E8,2006,27,153 87 | 27111,,6.361752210331898E8,5.18953549178402E8,2006,27,111 88 | 27159,,5.4864099972059295E7,6.518191308720273E7,2006,27,159 89 | 27057,,4.3958849175824806E7,4.711884485527631E7,2006,27,057 90 | 27005,,1.575741245086055E8,3.135330174719958E8,2006,27,005 91 | 27029,,1.789341248752968E7,4.247490807438055E7,2006,27,029 92 | 27119,,3.4542163276055866E8,1.0393399095089308E9,2006,27,119 93 | 27007,,6151465.664811199,3.0120869225791067E7,2006,27,007 94 | 27113,,6.059279449158651E7,2.7393066566750306E8,2006,27,113 95 | 27089,,1.3157388226688378E8,7.728931989629446E8,2006,27,089 96 | 27135,,7.435006757218137E7,3.199041995235763E8,2006,27,135 97 | 27077,1.8527066598701503E7,3991457.9133911133,3.1701140425964355E7,2006,27,077 98 | 27071,3.091226085579258E7,626714.0627441406,1.0865005036621094E7,2006,27,071 99 | 27069,1048131.5975619173,8.272391570152804E7,3.6502136093664527E8,2006,27,069 100 | 38067,3111217.8553744853,4.5617647953063965E7,3.364569418459803E8,2006,38,067 101 | 38099,,2.5671445306615014E7,2.752458991211084E8,2006,38,099 102 | 38019,1754751.6454805434,1.82379711920166E7,1.4718878894495443E8,2006,38,019 103 | 38095,,8115362.858703613,8.631140258443914E7,2006,38,095 104 | 38071,,4.900008616369629E7,2.8706244081688684E8,2006,38,071 105 | 38035,,8.301379890414871E7,4.7529085291561663E8,2006,38,035 106 | 38063,,5988108.804382324,1.5548672081550437E8,2006,38,063 107 | 38005,,1.6972697666625977E7,1.5558930655447686E8,2006,38,005 108 | 38027,,3480954.855895996,5.747921842655628E7,2006,38,027 109 | 38039,,2.9224679594611432E7,2.186003281646834E8,2006,38,039 110 | 38091,,1.1111023811357233E8,4.396382568530893E8,2006,38,091 111 | 38031,,2.1022111612548828E7,2.0496028121820432E8,2006,38,031 112 | 38093,,1.2020959426669851E8,9.770029980092381E8,2006,38,093 113 | 38003,,2.284098079360871E8,9.687363317570057E8,2006,38,003 114 | 38017,,4.7147441895480573E8,1.7235836110876591E9,2006,38,017 115 | 38097,,2.6729424951022947E8,7.268225961415222E8,2006,38,097 116 | 27107,,2.705061517100957E8,6.257392372466435E8,2006,27,107 117 | 27125,,6.989175359755597E7,2.1494906512745E8,2006,27,125 118 | 27087,,1.5010255871823338E8,1.8684918586647114E8,2006,27,087 119 | 27027,,3.912458594224429E8,6.503986365258664E8,2006,27,027 120 | 38077,,7.85458089237571E8,1.1516017798799121E9,2006,38,077 121 | 27167,,3.7591827381954926E8,5.1593920952948916E8,2006,27,167 122 | 27155,,5.2967699819781345E8,5.439075646260703E8,2006,27,155 123 | 27051,,4.658583946026341E8,3.673408312644194E8,2006,27,051 124 | 27149,,5.560422905273527E8,4.486724551131934E8,2006,27,149 125 | 27151,,7.223633821310434E8,5.507854465835743E8,2006,27,151 126 | 27023,,6.251934224827212E8,4.547144188471931E8,2006,27,023 127 | 27173,,7.992733398293536E8,6.448087985742974E8,2006,27,173 128 | 27073,,7.130341935148184E8,6.350766828815042E8,2006,27,073 129 | 27011,,3.532852306097504E8,4.297691186378703E8,2006,27,011 130 | 46051,,3.893062699476022E8,2.5855297013687718E8,2006,46,051 131 | 46109,,6.080769320132089E8,4.322960421956934E8,2006,46,109 132 | 46091,,3.513743656257386E8,2.699753801637821E8,2006,46,091 133 | 38081,,3.2211199821719366E8,5.220366331259371E8,2006,38,081 134 | 46037,,4.227976066564196E8,2.9208396684924465E8,2006,46,037 135 | 46039,,3.2250721837415856E8,2.2545222768232733E8,2006,46,039 136 | 46029,,3.3938201576241446E8,2.3930874864761582E8,2006,46,029 137 | 46057,,3.9748874186814743E8,2.6535572598918393E8,2006,46,057 138 | 46025,,4.565151008530832E8,3.324649198858078E8,2006,46,025 139 | 46013,,1.200178016267179E9,5.844630939486053E8,2006,46,013 140 | 38021,,2.0524519656562835E8,5.095770224979532E8,2006,38,021 141 | 38045,,2.833245589603447E8,8.841687526145961E8,2006,38,045 142 | 38073,,2.2556362648772472E8,4.4354439926357716E8,2006,38,073 143 | 38047,,1.3536971188945457E7,1.0544285680456926E8,2006,38,047 144 | 38043,,1.9044515507080078E7,3.648833635162497E7,2006,38,043 145 | 38051,,1.1247024721048035E7,9.861104591066223E7,2006,38,051 146 | 46089,,1.2678181208434914E8,3.831590436135493E7,2006,46,089 147 | 46045,,2.7217465614823186E8,5.7412316456321806E7,2006,46,045 148 | 46115,,9.988462567500012E8,3.24368166607965E8,2006,46,115 149 | 46049,,1.721572247930317E8,2.205833710048756E7,2006,46,049 150 | 46059,,2.3034269328378236E8,3.706172609512724E7,2006,46,059 151 | 46021,,2.1285040881613337E7,4456602.966064453,2006,46,021 152 | 46129,,7.450457904418945E7,6125759.779296875,2006,46,129 153 | 46107,,1.0221179080712338E8,7258629.1076049805,2006,46,107 154 | 46069,,2.646342608637073E7,2202717.2364585726,2006,46,069 155 | 46119,,5.219171780439022E7,2.027613706433034E7,2006,46,119 156 | 46041,,1143938.7806396484,737547.8823852539,2006,46,041 157 | 46065,,4.767300612113108E7,1.155313932231733E7,2006,46,065 158 | 46117,,9057339.983215332,2048792.384302476,2006,46,117 159 | 46031,,1483994.3369140625,1349583.8039455041,2006,46,031 160 | 38085,,1430380.462890625,9479055.41320753,2006,38,085 161 | 38037,,82952.072265625,1.8169273173747703E7,2006,38,037 162 | 38059,,5336987.887939453,9537576.930114746,2006,38,059 163 | 38029,,5955713.295288086,3.965894983215332E7,2006,38,029 164 | 38015,,4151825.3083496094,1.913639983532715E7,2006,38,015 165 | 38065,,6348931.401184082,5933681.9140625,2006,38,065 166 | 38055,,1.0876964229003906E7,1.3738254850158691E7,2006,38,055 167 | 38057,,3297105.1345214844,3206313.4493408203,2006,38,057 168 | 38061,,271236.63134765625,1287345.9997558594,2006,38,061 169 | 38101,,1390056.7784423828,3.852655341558838E7,2006,38,101 170 | 38083,,287664.8881225586,1.5658991981506348E7,2006,38,083 171 | 38049,,1.6052728104851697E7,4.1056010740474924E7,2006,38,049 172 | 38103,,4724122.215209961,1.439671356324585E8,2006,38,103 173 | 38069,,3701580.9169672946,5.5527298164609425E7,2006,38,069 174 | 38079,,1442551.8820800781,2.654979082176346E7,2006,38,079 175 | 38009,,630839.827331543,1.2914336703874176E7,2006,38,009 176 | 38075,,15423.8837890625,1682099.0224609375,2006,38,075 177 | 38013,,61063.3818359375,1591624.2616972083,2006,38,013 178 | 38023,,399495.4869995117,1866043.0038452148,2006,38,023 179 | 38105,,3471040.3990478516,2721993.6697998047,2006,38,105 180 | 38053,,3224794.8088378906,5116942.963282686,2006,38,053 181 | 38007,,1222.494384765625,414636.5915527344,2006,38,007 182 | 38033,,617.2924194335938,845247.0438232422,2006,38,033 183 | 38087,,16734.180419921875,712701.3297119141,2006,38,087 184 | 38089,,13551.752075195312,4392534.400695801,2006,38,089 185 | 38025,,81033.2798461914,3999827.7866210938,2006,38,025 186 | 38041,,3104.6484985351562,2018124.8541259766,2006,38,041 187 | 38001,,13136.517272949219,5695517.688776473,2006,38,001 188 | 46105,,5198558.754638672,7857538.591552734,2006,46,105 189 | 46137,,118894.01873779297,795654.8892822266,2006,46,137 190 | 46055,,8932804.9977417,1422536.7130737305,2006,46,055 191 | 46093,,1954013.5566166895,1416372.9396778778,2006,46,093 192 | 46103,,2071688.5078735352,892760.8396606445,2006,46,103 193 | 46063,,3006381.4204101562,638641.3916625977,2006,46,063 194 | 46019,7809.143266027114,2.001809505259459E7,1951573.289631204,2006,46,019 195 | 46081,,697973.8033803902,100021.16625976562,2006,46,081 196 | 38011,,24348.65789794922,1379123.685546875,2006,38,011 197 | 20175,,2.5253044038606122E8,5.609580507809341E7,2006,20,175 198 | 20119,,2.907018877257396E8,5.623160914237396E7,2006,20,119 199 | 20081,,3.398051335594019E8,4.189783040460372E7,2006,20,081 200 | 20069,,2.954718130868011E8,5.686394389782452E7,2006,20,069 201 | 20189,2250958.685889625,4.540826624937512E8,2.071737022003174E7,2006,20,189 202 | 20067,,1.7185807146216184E8,9940766.040835153,2006,20,067 203 | 20129,9214948.799278831,8.134565480387777E7,6284475.87097168,2006,20,129 204 | 20187,,2.2074277581244922E8,1.2592077252434704E7,2006,20,187 205 | 20093,,1.586934705342534E8,9283030.826956715,2006,20,093 206 | 20075,,3.516472707154948E7,1.765772420377341E7,2006,20,075 207 | 20055,,3.6532008653007644E8,4.581615056793811E7,2006,20,055 208 | 20171,,2.0765947227835116E8,8045416.162658691,2006,20,171 209 | 20101,,5.012582570045023E7,4058329.396179199,2006,20,101 210 | 20203,,1.9901581023485368E8,4781178.457336426,2006,20,203 211 | 20109,,2.0511080514712682E8,2388646.246398926,2006,20,109 212 | 20063,,2.3856298663350758E8,5195003.842972819,2006,20,063 213 | 20193,,6.08746511204974E8,4.0819587365478516E7,2006,20,193 214 | 20179,,5.06056045889371E8,2.3680218173094746E7,2006,20,179 215 | 20199,,2.3048076652749312E8,3935749.2604456283,2006,20,199 216 | 20181,1544503.7862453081,3.910290397715227E8,1.5426382371758673E7,2006,20,181 217 | 20071,,1.228300808808201E8,1583633.8713378906,2006,20,071 218 | 46033,,910104.1101074219,72115.58319091797,2006,46,033 219 | 46047,,4871059.328369141,2541973.919494629,2006,46,047 220 | 31165,,7.856928916976748E7,3898440.915863396,2006,31,165 221 | 31157,,4.096688881345356E8,2.5866576963116333E7,2006,31,157 222 | 31007,,6.663173071423411E7,2862867.832458496,2006,31,007 223 | 31105,2786341.7544215773,1.4018425831143633E8,4378309.0185546875,2006,31,105 224 | 31123,,3.179059617547184E8,1.0543698487121582E7,2006,31,123 225 | 31033,,2.4258321606516686E8,7692067.868530273,2006,31,033 226 | 31069,,1.1678741198261216E8,6692473.809143066,2006,31,069 227 | 31049,,9.440900167168733E7,8351034.225846593,2006,31,049 228 | 31057,6882876.075961003,4.250873781459532E8,4.2646476406219125E7,2006,31,057 229 | 31029,1.4378317997873582E7,7.464490922225219E8,5.43302124660824E7,2006,31,029 230 | 31135,1.1594428148598352E7,8.513775199018431E8,5.5695363559217274E7,2006,31,135 231 | 31085,,3.0496386791784906E8,2.9230305162022013E7,2006,31,085 232 | 20023,1510557.548069853,1.6516729875419253E8,1.3073975530058019E7,2006,20,023 233 | 20153,,1.866842405733769E8,1.571096216707237E7,2006,20,153 234 | 31087,,2.5910755286105537E8,2.5751500179653034E7,2006,31,087 235 | 20039,,3.186909738107989E8,4354943.93506721,2006,20,039 236 | 31145,,3.4314402923043907E8,4.8114246873970784E7,2006,31,145 237 | 31063,,4.076140450501225E8,6.607138446306608E7,2006,31,063 238 | 31111,,8.46084609129088E8,1.4889201994577014E8,2006,31,111 239 | 31113,,9.304003777875163E7,1.1521677276855469E7,2006,31,113 240 | 31117,,1.4910421747108132E7,1496906.0424804688,2006,31,117 241 | 31101,,4.361948803668667E8,5.052084306343013E7,2006,31,101 242 | 31005,,1.3069221689399272E7,1351581.343383789,2006,31,005 243 | 31075,,135909.8257446289,668.9158325195312,2006,31,075 244 | 31091,,155250.86920166016,412368.9966430664,2006,31,091 245 | 31171,,1155811.8087768555,676022.7683105469,2006,31,171 246 | 31031,,5.771902427178955E7,8964981.538757324,2006,31,031 247 | 46121,,2.6312051347717285E7,8636283.802062988,2006,46,121 248 | 46007,,1.0654180278625488E7,4121427.141418457,2006,46,007 249 | 31161,,1.1508870645995185E8,1.8017364269470215E7,2006,31,161 250 | 31013,,3.257194479884249E8,2.593974179498291E7,2006,31,013 251 | 31045,,1.8322046712472238E7,887827.8596801758,2006,31,045 252 | 46113,,1787827.3131713867,187244.9408569336,2006,46,113 253 | 46071,,180566.77032470703,445834.61682128906,2006,46,071 254 | 46095,,6602011.459390318,672222.3709939396,2006,46,095 255 | 46075,,9741863.098144531,574031.1931152344,2006,46,075 256 | 46085,,8.757159568371007E7,9948924.33705552,2006,46,085 257 | 46017,,2.513509159588264E7,1.3706198476135254E7,2006,46,017 258 | 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26035,,1.3556758033615772E7,1.0501004110294597E7,2006,26,035 852 | 26079,,2121765.205871582,1674696.392211914,2006,26,079 853 | 26039,,201158.90893554688,48720.93005371094,2006,26,039 854 | 26143,,226996.5297241211,66909.85534667969,2006,26,143 855 | 26129,,3.139184965872635E7,1.083940989163172E7,2006,26,129 856 | 26069,3.4658994615746818E9,2.3857667496816836E7,8386401.343105899,2006,26,069 857 | 26051,,3.652277140704154E7,2.2816819962956686E7,2006,26,051 858 | 26011,8.05597352438318E8,8.293790309075375E7,4.705886315454674E7,2006,26,011 859 | 26017,4.5693030953412324E8,2.6455946142920184E8,1.3057451600516835E8,2006,26,017 860 | 26063,3.341373830298131E9,7.018950955605241E8,2.76828356254485E8,2006,26,063 861 | 26157,2.3528102709821588E8,4.7743410684282506E8,2.682549127524053E8,2006,26,157 862 | 26111,,1.0216866603401287E8,8.171644833382115E7,2006,26,111 863 | 26057,,3.5657080841879404E8,3.033867215389527E8,2006,26,057 864 | 26145,,4.5788918615462E8,3.131762192528129E8,2006,26,145 865 | 26037,,2.716260990429915E8,2.747577433823745E8,2006,26,037 866 | 26155,,2.144555027437103E8,3.084100032620713E8,2006,26,155 867 | 26075,,2.4891843382936925E8,1.4097965786736557E8,2006,26,075 868 | 26065,,2.3094579378615677E8,1.8831119237695146E8,2006,26,065 869 | 26093,,8.834808077832389E7,6.603049818255495E7,2006,26,093 870 | 26161,,1.5951360979035044E8,1.9212484265900138E8,2006,26,161 871 | 26125,,1.4656327338317394E7,9280527.423134957,2006,26,125 872 | 26049,,1.2711143181593685E8,1.2055237736312822E8,2006,26,049 873 | 26087,,2.1156171683775827E8,1.4424689651567334E8,2006,26,087 874 | 26151,1.6174442288670652E9,5.460147534926091E8,4.8559262039763975E8,2006,26,151 875 | 26147,3.3109044967197585E8,1.7950074421865094E8,2.397368862240433E8,2006,26,147 876 | 26163,1.8279002764006037E8,9551278.466962269,1.6235983829155896E7,2006,26,163 877 | 26099,2.3250146681567788E8,7.770514401836847E7,8.55706994776956E7,2006,26,099 878 | 39007,1.6859931764441905E9,9.301162464298813E7,8.69808033079293E7,2006,39,007 879 | 39085,1.9534746418387604E9,1016360.7321777344,484663.70806884766,2006,39,085 880 | 39035,2.0225002843704295E9,434611.95623779297,367249.74448768765,2006,39,035 881 | 39093,1.0920454711935472E9,8.134031969655114E7,2.2888146148567474E8,2006,39,093 882 | 39103,,5.602950530315923E7,1.0876354146075271E8,2006,39,103 883 | 39005,,1.2377827432055664E8,1.8518339657705244E8,2006,39,005 884 | 39169,,1.639818417352036E8,2.713162691953749E8,2006,39,169 885 | 39153,,4288831.646240234,7066849.222831218,2006,39,153 886 | 39055,,1.1174328393677237E7,9023123.323124904,2006,39,055 887 | 39133,,5.00883474831689E7,5.642038770107183E7,2006,39,133 888 | 39151,,8.329347726143536E7,1.1158008092433341E8,2006,39,151 889 | 39155,5236766.223275937,9.38724203471153E7,6.6347452618105404E7,2006,39,155 890 | 39099,4373056.326645077,5.9849413386846095E7,3.982658646799747E7,2006,39,099 891 | 39029,3145671.8322466677,6.592091131462546E7,6.663314533179191E7,2006,39,029 892 | 39081,1.565592091981225E7,1300038.7809302236,353904.2570889342,2006,39,081 893 | 39013,5488313.485102635,19288.488891601562,15138.841613769531,2006,39,013 894 | 39111,5954644.21400003,281068.6723022461,78119.93525989009,2006,39,111 895 | 39121,,36614.326171875,60727.97869873047,2006,39,121 896 | 39059,,6419620.07078283,6808781.191434494,2006,39,059 897 | 39157,,3.9685888485304415E7,5.4802750269323975E7,2006,39,157 898 | 39067,,4378473.749104578,3092860.83519694,2006,39,067 899 | 39019,,1.4729512459199077E7,1.157321626859634E7,2006,39,019 900 | 39075,,4.127640565153212E7,6.083265715374974E7,2006,39,075 901 | 39031,,5.407075432643732E7,7.37199679259538E7,2006,39,031 902 | 39083,,1.7776830508485946E8,2.236123944738181E8,2006,39,083 903 | 39089,,1.8249023209439287E8,2.692028402475375E8,2006,39,089 904 | 39119,,3.405747471506515E7,4.432731469140697E7,2006,39,119 905 | 39115,,4478457.430772729,3879948.146688783,2006,39,115 906 | 39127,,5.563177948053937E7,5.316770826298803E7,2006,39,127 907 | 39045,,2.258484907344872E8,2.4191939177247018E8,2006,39,045 908 | 39117,,1.7237739524094048E8,2.906132148956922E8,2006,39,117 909 | 39041,,1.9056240177311867E8,2.754266792023636E8,2006,39,041 910 | 39049,,7.710413805786325E7,1.3778614934483284E8,2006,39,049 911 | 39129,,3.5247268054554987E8,4.478018831599427E8,2006,39,129 912 | 39159,,3.0931333509458816E8,4.0303899936090505E8,2006,39,159 913 | 39097,,3.5565654826599604E8,5.503595937668635E8,2006,39,097 914 | 39023,,2.99293542527268E8,2.581398265122902E8,2006,39,023 915 | 39021,,4.9120025011618245E8,2.3855866684269255E8,2006,39,021 916 | 39091,,4.7998735952637273E8,1.703322632670295E8,2006,39,091 917 | 39101,,2.9342565344184744E8,4.2159522435757905E8,2006,39,101 918 | 39033,,2.854297301715482E8,3.939956160513246E8,2006,39,033 919 | 39175,,2.7565533239597917E8,4.1076006605035E8,2006,39,175 920 | 39065,,5.382778326429529E8,3.1757910388438004E8,2006,39,065 921 | 39063,,6.811280091407061E8,2.184920756112121E8,2006,39,063 922 | 39147,,3.524759234436189E8,5.640994181247584E8,2006,39,147 923 | 39077,,2.703705729130555E8,4.373595454991363E8,2006,39,077 924 | 39139,,1.4134141426626003E8,2.3098262091938955E8,2006,39,139 925 | 39043,9.843601587956194E8,1.1864208102120084E8,1.6096771406876987E8,2006,39,043 926 | 39143,1.2313081994039375E7,2.7582852569189894E8,3.874385060622193E8,2006,39,143 927 | 39123,8.76402812644667E8,1.0446477608809623E8,2.059922836292198E8,2006,39,123 928 | 39095,6.385883589336562E8,1.7632959641305175E8,6.631076581762935E7,2006,39,095 929 | 26115,2.774060024319496E8,3.044318776500225E8,2.8291590784491086E8,2006,26,115 930 | 39173,,8.509073656841261E8,1.4898763879678956E8,2006,39,173 931 | 39069,,6.22018237744665E8,1.5356349373604542E8,2006,39,069 932 | 39137,,7.422938622372869E8,1.193980084189929E8,2006,39,137 933 | 39039,,2.253818987186622E8,4.040991721382256E8,2006,39,039 934 | 39051,,4.0201921783749425E8,3.3034731466597676E8,2006,39,051 935 | 26091,,4.200787615002913E8,4.2080912114906794E8,2006,26,091 936 | 26059,,2.809533558492892E8,2.8555051548866826E8,2006,26,059 937 | 39171,,1.5968203200816244E8,3.890267088605335E8,2006,39,171 938 | 39125,,2.4085751320112434E8,4.3905031258558965E8,2006,39,125 939 | 39161,,3.464150442813088E8,4.7749707260107714E8,2006,39,161 940 | 39107,,4.4642556085508054E8,3.962182697833214E8,2006,39,107 941 | 39011,,5.283780169561238E8,1.2664782870667936E8,2006,39,011 942 | 39003,,5.0678637244153047E8,8.895097802834977E7,2006,39,003 943 | 39149,,5.169940276506069E8,1.5145065318148196E8,2006,39,149 944 | 39109,,4.334470847852695E8,2.0687046373098844E8,2006,39,109 945 | 39057,,2.3919162666526553E8,2.695093754915635E8,2006,39,057 946 | 39113,,1.867319160023319E8,1.2891327891010052E8,2006,39,113 947 | 39037,,6.527547667699562E8,4.8392080231242377E8,2006,39,037 948 | 39135,,3.354799192023077E8,3.1274121667866987E8,2006,39,135 949 | 18161,,1.569711013786577E8,1.0321166761343975E8,2006,18,161 950 | 39017,,8.67615385040271E7,1.0563390026117371E8,2006,39,017 951 | 18047,,1.454156986131018E8,1.1849804198091424E8,2006,18,047 952 | 18029,,2.9958324852835853E7,2.7147551758654065E7,2006,18,029 953 | 39061,,1.8202537287950955E7,1.1852312882254343E7,2006,39,061 954 | 39025,,5.673746515555948E7,9.99057228177468E7,2006,39,025 955 | 39165,,9.783453960994604E7,9.551635438631763E7,2006,39,165 956 | 39027,,2.677693995736822E8,4.195313272294962E8,2006,39,027 957 | 39047,,3.520833100120602E8,4.361322263527138E8,2006,39,047 958 | 39071,,1.9736141491537052E8,2.7643178672149754E8,2006,39,071 959 | 39015,,1.4697381274853843E8,2.351451889508313E8,2006,39,015 960 | 21037,,655851.2199707031,269201.4631958008,2006,21,037 961 | 21191,,2981014.6351864086,2015550.1225585938,2006,21,191 962 | 39001,,4.034464600360994E7,3.912528886663842E7,2006,39,001 963 | 21161,,7246249.844826132,7856111.88923316,2006,21,161 964 | 21023,,790365.0409959981,767000.0648655312,2006,21,023 965 | 21135,,5510382.22777698,7691750.544228229,2006,21,135 966 | 21069,,4883406.689483762,9345678.859128226,2006,21,069 967 | 21201,,2813.1004638671875,113228.60479736328,2006,21,201 968 | 21097,,6245608.627175724,4979832.558654785,2006,21,097 969 | 21081,,458072.5055541992,73636.20391845703,2006,21,081 970 | 21117,,61556.943115234375,50936.11065219057,2006,21,117 971 | 21015,,6064993.011413574,3397020.6640297086,2006,21,015 972 | 18115,,9337164.273888683,7350648.619289742,2006,18,115 973 | 18155,,2.3428456274077058E7,1.6952638868064493E7,2006,18,155 974 | 21077,,3510583.079785156,1778614.1951904297,2006,21,077 975 | 21187,,820517.7135057637,490336.33435058594,2006,21,187 976 | 21041,,1862994.8191327262,6486725.482778752,2006,21,041 977 | 21103,,7535144.211409745,8558257.021885533,2006,21,103 978 | 21073,,1952592.1176757812,2775414.058227539,2006,21,073 979 | 21209,,2540605.685904948,1715159.3347797468,2006,21,209 980 | 21017,,3237592.67046066,3171616.7667104686,2006,21,017 981 | 21067,,4686695.985753914,4958060.377542175,2006,21,067 982 | 21049,,2311399.9641295187,1550327.2835731655,2006,21,049 983 | 21151,,535667.2232666016,529321.4876098633,2006,21,151 984 | 21113,,1786773.2608846035,1145853.8873025333,2006,21,113 985 | 21239,,3772409.1898581116,2961430.4231998217,2006,21,239 986 | 21167,,4550618.377307129,2638033.8043777766,2006,21,167 987 | 21005,,701377.7883138021,363722.8626098633,2006,21,005 988 | 21021,,2676325.2996206246,2990712.3429610906,2006,21,021 989 | 21079,,820674.6499023438,570364.4624633789,2006,21,079 990 | 21137,,9716388.40509823,1.035734538707371E7,2006,21,137 991 | 21045,,5790076.665844966,8030276.339352118,2006,21,045 992 | 21199,,1.2909037496588495E7,1.5170857976734832E7,2006,21,199 993 | 21203,,1433425.2598876953,1714855.597603592,2006,21,203 994 | 21125,,107213.54165469899,103811.63781738281,2006,21,125 995 | 21065,,1472792.007019043,1477838.1782836914,2006,21,065 996 | 21197,,2467962.634338379,3863413.4752197266,2006,21,197 997 | 21109,,714.3550415039062,,2006,21,109 998 | 21051,,58030.124886546415,3576.2816772460938,2006,21,051 999 | 21189,,,,2006,21,189 1000 | 21129,,,1422.86474609375,2006,21,129 1001 | 21237,,,,2006,21,237 1002 | 21165,,,,2006,21,165 1003 | 21011,,3570131.2490310953,6629629.467504645,2006,21,011 1004 | 21205,,1437959.2414653704,2921765.439293955,2006,21,205 1005 | 21173,,390276.3428835402,403698.4663265452,2006,21,173 1006 | 21181,,167885.8612060547,337015.32621615543,2006,21,181 1007 | 21043,,335431.1255493164,601184.2225341797,2006,21,043 1008 | 21063,,17670.654663085938,2826.4146728515625,2006,21,063 1009 | 21089,,2279712.777709961,2751727.1639404297,2006,21,089 1010 | 21127,1.5748650407401055E7,2829.7255859375,2121.0818481445312,2006,21,127 1011 | 21175,,14883.706115722656,2834.306396484375,2006,21,175 1012 | 21115,,709.5349731445312,,2006,21,115 1013 | 21153,,29835.369018554688,2131.2152099609375,2006,21,153 1014 | 21025,,,,2006,21,025 1015 | 21193,,,,2006,21,193 1016 | 21131,,,,2006,21,131 1017 | 21119,,,,2006,21,119 1018 | 21133,1840339.4015299492,,,2006,21,133 1019 | 21071,,1423.4659423828125,,2006,21,071 1020 | 21159,1.0587826004810272E7,1418.0955810546875,1420.0228881835938,2006,21,159 1021 | 21195,1.894204588619432E7,6415.644226074219,16382.541259765625,2006,21,195 1022 | 21019,1481036.9526955998,49357.47479248047,186861.6846923828,2006,21,019 1023 | 39087,1216827.3402482576,3200864.907289273,2217844.7732543945,2006,39,087 1024 | 39053,6272882.372522443,4637482.383902277,5355064.665455538,2006,39,053 1025 | 39105,2.1617655637018174E7,4438632.89717108,4679511.804063984,2006,39,105 1026 | 39163,,4150225.6610224703,2954135.8800924863,2006,39,163 1027 | 39079,,8236320.720550178,3749394.0930807684,2006,39,079 1028 | 39145,,3.357533340510183E7,3.56629658464839E7,2006,39,145 1029 | 39131,,3.2984831956504192E7,3.681794036547086E7,2006,39,131 1030 | 39141,,1.7893429462409335E8,1.891191321996079E8,2006,39,141 1031 | 39073,,8790239.045241412,9689400.740875123,2006,39,073 1032 | 39009,523816.27631165757,3577468.501899749,4146416.284057617,2006,39,009 1033 | 39167,2.2369698898617968E7,1.1562402678921808E7,1.3021670607004922E7,2006,39,167 1034 | 21095,1.1354222219196383E7,,,2006,21,095 1035 | 21013,7215792.531202851,128071.33203125,2878.018310546875,2006,21,013 1036 | 21121,,245076.08392333984,2875.9611206054688,2006,21,121 1037 | 21235,7053920.5690977825,248999.82080078125,194531.90985107422,2006,21,235 1038 | 21147,1.570466573437881E7,51158.19982910156,720.5479125976562,2006,21,147 1039 | 21231,7117233.805170511,1.2970644575941376E7,1.411206699752317E7,2006,21,231 1040 | 21207,,5688498.975599101,7134868.360507859,2006,21,207 1041 | 21141,1.5958917227925863E7,2.079219115281034E8,1.3056837847825447E8,2006,21,141 1042 | 21219,2.2565132511840098E7,1.8266194229968068E8,7.929557191017659E7,2006,21,219 1043 | 21047,2.5506228648994714E7,2.523688900342596E8,9.125939017216843E7,2006,21,047 1044 | 21177,,4.465707604987558E7,5.624984535540244E7,2006,21,177 1045 | 21107,,9.480338181837755E7,1.462210078360732E8,2006,21,107 1046 | 21031,,4.997496197646101E7,5.102693023815894E7,2006,21,031 1047 | 21183,,9.420743296341024E7,1.2465225557659432E8,2006,21,183 1048 | 21227,,9.051577082914416E7,5.678509001776433E7,2006,21,227 1049 | 21213,1.4568226007327795E7,1.2504384673630114E8,7.664805936785822E7,2006,21,213 1050 | 21003,1.1269755225071814E7,3424317.0611462165,3137740.2395132026,2006,21,003 1051 | 21061,,3597449.2768006567,1.0754602867345713E7,2006,21,061 1052 | 21009,,3.564517816065387E7,3.2566267332138486E7,2006,21,009 1053 | 21099,,8022811.695062615,8398599.792674106,2006,21,099 1054 | 21169,,2219788.234961416,4489947.258474073,2006,21,169 1055 | 21087,,9831605.392150402,1.11576972129574E7,2006,21,087 1056 | 21171,2.5563875139047176E7,4243570.851767626,3953128.8119181315,2006,21,171 1057 | 21053,2222447.0692895018,1946265.977979473,2058992.0920290481,2006,21,053 1058 | 21057,661761.4374830055,2003182.0859985352,3958290.9948120117,2006,21,057 1059 | 21001,,7324216.401786056,9534243.035018861,2006,21,001 1060 | 21217,,1.789035819678907E7,2.092395383976046E7,2006,21,217 1061 | 21155,,2.534938300170898E7,2.596503254674551E7,2006,21,155 1062 | 21229,,7113494.111036114,1.0339287675739123E7,2006,21,229 1063 | 21179,,3.476271207252173E7,3.5836775929587215E7,2006,21,179 1064 | 21029,,5138918.708812039,9515698.78732551,2006,21,029 1065 | 21123,,4.6917131435448036E7,6.794612865774283E7,2006,21,123 1066 | 21093,,8.170185385166758E7,9.372368297307032E7,2006,21,093 1067 | 21085,,1.784187726877106E7,2.453738909009148E7,2006,21,085 1068 | 21027,,3.555225136389783E7,4.644829293232638E7,2006,21,027 1069 | 21163,,2.809262557323812E7,4.151926554162286E7,2006,21,163 1070 | 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/data/landsat_availability/1999_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,17,7.181709635775734,7.000000000000002,0,2.8283300593165968,1999, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,15,6.064767472746113,6.0469436928871385,0,2.7082721412051516,1999, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,16,5.793415433827518,6.044887747107303,0,2.8990448094673336,1999, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,17,8.297884028692268,9.019484624845607,0,3.07419423815386,1999, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,18,8.20292835554172,8.03086873853769,0,3.3448540744349478,1999, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,18,8.366927205434935,8.008527106979582,0,3.467935297413026,1999, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,17,8.221463479427289,8.014995073425935,0,3.353823408626617,1999, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,14,5.835519753001998,5.0128613441152865,0,2.2401348084463795,1999, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,17,6.374136107075663,6.066681322982952,0,2.6316012902270884,1999, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,17,7.724511045082464,6.999999999999999,0,2.9928382895365457,1999, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,16,6.978749007664812,7.000000000000002,0,2.748170778319787,1999, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,15,6.741720740721936,6.034213696866923,0,2.677046809863779,1999, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,17,6.452456123216307,6.0489666378257185,0,2.751900513137609,1999, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2000_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,16,5.632597088680017,5.07553357675429,0,2.5764661703878424,2000, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,15,5.956757678932169,6.0278397138082545,0,2.8166945298553303,2000, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,18,8.04438114021797,8.04325355975448,0,3.684019658861207,2000, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,19,8.908085366034737,9.089588886463556,0,3.529287536583832,2000, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,20,10.172574077657593,10.048928298675053,0,3.8978002367331723,2000, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,21,10.396538084197635,9.019472266726892,0,3.949136373694619,2000, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,21,10.981962428033944,10.024927784727021,0,4.143800491642945,2000, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,16,6.566020386928229,6.030413887701082,0,3.0109136718038485,2000, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,18,6.027814744747447,6.049298307625289,0,2.927803478736781,2000, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,15,6.070978948522918,6.04520185474436,0,2.6014519898532296,2000, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,17,7.551248071606984,7.0,0,3.0957990349341933,2000, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,16,5.683932338107542,5.03902872183317,0,2.56318676870995,2000, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,18,7.805477121665198,7.000000000000001,0,3.200572912375682,2000, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2001_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,20,8.669347154207143,8.058440491543701,0,3.905177179240891,2001, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,18,6.433988818960091,6.022181803244232,0,3.0093541840813054,2001, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,20,9.384665991094385,10.044715989592879,0,3.741980411955709,2001, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,19,9.51204018292756,10.015376522491563,0,3.5424390897993994,2001, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,20,10.075633934220845,11.0603184685512,0,3.7166399010032456,2001, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,23,12.035117815284542,10.018651573139678,0,4.461092866781188,2001, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,22,10.915645709706412,10.033430049144915,0,4.096539567876895,2001, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,18,7.9871774744775434,8.04601919693429,0,3.191900516644297,2001, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,18,7.536701631259401,7.000000000000002,0,3.2832549563463083,2001, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,16,5.200255287290208,5.022996277950324,0,2.611212419702373,2001, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,20,8.970311399792292,8.021991181914233,0,3.4700246041411944,2001, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,20,9.685786766444183,9.026018200775754,0,3.491416383824441,2001, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,19,7.2938567504462775,6.0707176312882005,0,3.390701858541963,2001, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2002_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,18,7.951139881884381,8.033877766454765,0,3.355424130333038,2002, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,19,8.530730240934574,8.013336294218908,0,3.37300752161962,2002, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,20,8.731666723357321,9.038745410449835,0,3.5078700961969007,2002, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,19,8.955379198905101,9.02664765373488,0,3.3820171308332463,2002, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,20,8.51848764689584,8.043020309668341,0,3.8058315532969083,2002, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,21,9.834863418968268,9.02389169127182,0,3.832376291164063,2002, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,21,9.931130059387595,9.097199283403771,0,3.826528874192751,2002, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,20,10.579127479320086,10.080389014832754,0,3.6955802586791413,2002, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,20,8.831732697598337,8.040033367433134,0,3.474882369128763,2002, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,20,7.859777268054728,7.000000000000001,0,3.351918457030648,2002, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,18,7.904332162935852,7.0000000000000036,0,3.142892859667037,2002, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,17,7.588780966965407,7.000000000000001,0,2.6962265084901715,2002, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,17,7.015480353636393,6.042668798076597,0,2.798922895877839,2002, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2003_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,16,6.336808852761133,6.068014895859647,0,2.5669586250548573,2003, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,15,5.966439715957142,6.029305336499714,0,2.5918568523709786,2003, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,15,5.614697111006919,5.030129557277325,0,2.4851220310911306,2003, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,15,7.483678774599173,8.029393336237895,0,2.5317341943701623,2003, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,16,7.727791096310622,8.026542348494496,0,2.7118155166087528,2003, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,17,7.869835102591484,7.0,0,3.1666470412862333,2003, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,16,8.01665862635802,8.069715330406984,0,2.5801538208703367,2003, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,15,6.071861499581651,6.034610615653036,0,2.3205696027785643,2003, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,16,5.509113302253585,5.063783523465063,0,2.2877042584175196,2003, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,15,7.150465668242394,6.999999999999999,0,2.503702551474265,2003, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,16,5.962191079432735,5.065158050852391,0,2.085312936041037,2003, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,13,4.818373809111334,5.045723024625609,0,2.2103824597584345,2003, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,16,5.306646037836304,5.033132231877998,0,2.339435799215318,2003, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2004_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,18,6.2889511083085825,6.092532058888216,0,2.7298124356681273,2004, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,17,5.606724123751954,5.020037065016036,0,2.5179683331642955,2004, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,18,6.994771117256876,7.000000000000003,0,2.875148768204417,2004, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,18,7.1965781909557816,7.0000000000000036,0,2.585071756545594,2004, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,21,8.048592583751194,8.032954741844586,0,3.197253974493202,2004, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,18,7.9253431236335645,7.000000000000003,0,2.8304710536790934,2004, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,21,7.8148912592678075,7.0000000000000036,0,3.1497174759309843,2004, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,17,7.311418226925138,7.000000000000002,0,2.490068425225159,2004, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,16,5.678795187952701,5.047013952746915,0,2.4173243052806797,2004, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,16,5.528639522490966,5.058295880562297,0,2.376558730986794,2004, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,15,4.633512686344376,4.05928295204725,0,2.177955848446574,2004, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,16,5.097552329262464,5.018799619333405,0,2.181137333931016,2004, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,16,4.944009616776982,5.056506476469911,0,2.105511287445524,2004, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2005_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,19,7.522727246138096,7.000000000000004,0,3.1655620926272254,2005, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,17,6.997779430566352,7.000000000000001,0,2.6042021440516216,2005, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,18,6.782498356360752,6.999999999999998,0,2.9422907728519787,2005, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,22,8.780971888943402,8.044633749160266,0,3.470661894018803,2005, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,22,10.063195880441482,10.039729277939086,0,3.601057130097164,2005, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,19,8.633051082276847,8.031690138343953,0,3.015731571158151,2005, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,19,8.812283244193345,8.038406338379747,0,2.9614857720364784,2005, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,17,8.29577789257589,8.023945933566058,0,2.6181871974225976,2005, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,20,8.332956302152434,8.046530033711921,0,2.943699644735664,2005, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,18,6.959987813557734,7.000000000000002,0,2.8004018123069034,2005, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,16,5.370028767595807,5.076199198233149,0,2.468156156259095,2005, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,18,7.6524683331371115,7.000000000000001,0,2.817339691186633,2005, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,17,6.488173617902358,6.052639077702612,0,2.380644377949934,2005, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2006_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,19,6.352300954321923,6.091838825165634,0,2.828282843085338,2006, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,19,8.092973504283727,8.061436993348758,0,3.01446898825229,2006, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,18,7.512209183962063,8.03360961255728,0,2.985865493905141,2006, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,21,9.663755169492196,10.049682038365042,0,3.577995298645203,2006, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,22,9.38101034036204,9.02468189787618,0,3.565979540782686,2006, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,22,8.775698749643146,9.047497861871829,0,3.2800164589134724,2006, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,22,9.015428007272327,8.031584963423834,0,3.334647923524483,2006, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,18,6.234331648648714,6.048965844980297,0,2.5863292365059203,2006, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,21,7.837761041797829,6.999999999999999,0,2.9850102900862447,2006, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,20,9.908958208612365,9.03910787712477,0,3.204700604590621,2006, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,18,6.7271897880413976,6.10984126815028,0,2.6244286915291464,2006, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,12,4.541119882321609,4.037168479895213,0,2.0480641667537225,2006, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,21,6.545603051525473,6.086128854692322,0,3.123419639730296,2006, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2007_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,20,7.521907755600067,7.000000000000005,0,2.9447250261040243,2007, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,20,8.322412114062823,8.052861994285058,0,3.0260523085884117,2007, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,18,8.484917738633863,9.060509593315842,0,3.100598105335258,2007, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,19,8.725731011071167,9.04799461808784,0,3.1919135099992895,2007, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,19,8.671681644622236,9.026753752236722,0,3.1973371428427844,2007, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,21,8.651889279313737,8.03991737657975,0,3.324115894951358,2007, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,20,8.970599707145318,9.037480759919475,0,3.069961958754067,2007, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,18,7.335524150785217,6.999999999999999,0,2.5413849069643017,2007, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,20,7.484264755371896,7.000000000000005,0,2.6902392132564494,2007, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,20,7.773003280332293,7.000000000000003,0,2.78542923902164,2007, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,17,7.239013513332546,7.000000000000001,0,2.597959564296558,2007, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,18,7.087084540826743,7.0,0,2.704596150409728,2007, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,20,7.060814789065628,6.999999999999999,0,2.97843912551847,2007, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2008_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,18,7.1427620636868046,7.000000000000002,0,2.8413199458645275,2008, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,18,7.425306387548231,6.999999999999999,0,2.942656713522547,2008, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,19,8.17690441898224,8.056040305260389,0,3.1951394002403646,2008, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,21,9.503654714353406,10.036406516731677,0,3.020636602681428,2008, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,22,10.381849128517205,10.062678267204943,0,3.2754012533462724,2008, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,21,9.289141096336387,9.040802970759527,0,3.0234829961830654,2008, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,22,10.180194066767276,10.046104356501784,0,3.5880974256092157,2008, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,18,7.880027583863036,6.999999999999997,0,2.977588298232551,2008, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,18,7.249691426732116,7.000000000000003,0,2.563077949516607,2008, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,19,6.7351605132594425,6.064419153558969,0,2.5615579949287457,2008, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,17,7.050224234429398,6.999999999999998,0,2.5817383953261115,2008, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,19,7.857271550887674,7.0000000000000036,0,2.844026263985534,2008, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,19,6.063238303190225,6.086053648322392,0,2.6591008570587515,2008, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2009_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,16,5.481003194061313,5.06709234741615,0,2.443893089571005,2009, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,16,6.70322719233705,6.999999999999999,0,2.6437227995150696,2009, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,15,6.48036235026474,6.05382987161605,0,2.6232530229034503,2009, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,19,7.284533368338277,7.000000000000001,0,2.8320023799956173,2009, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,19,8.239329446995459,8.050874952259244,0,3.1408505081881772,2009, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,20,8.834954748948727,8.080915572440993,0,3.0557970023159537,2009, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,21,8.35022837850152,8.023505358936154,0,3.3286794207680863,2009, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,17,5.648555557448428,6.034873091777438,0,2.705425888284431,2009, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,19,5.393908885556881,5.091712252972458,0,2.5604756187656306,2009, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,21,7.166446690426318,7.000000000000001,0,2.6258611779881376,2009, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,17,5.798402666624312,5.13826681390107,0,2.352303052430622,2009, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,16,4.1049218617857095,4.063019188885462,0,2.082319535322687,2009, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,17,5.163334141599875,5.055799463836943,0,2.5318994462906956,2009, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2010_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,18,6.897986043485028,7.0,0,2.946462176210577,2010, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,18,6.698151216462223,6.045047357430521,0,2.7146584451488103,2010, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,18,6.395396088333839,6.048987125185242,0,2.979467899241343,2010, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,21,9.839388815445309,10.07720042950593,0,3.398257290013805,2010, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,20,10.115198732765371,10.062315061962272,0,3.329564917010473,2010, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,23,10.000371897288055,9.05014108524119,0,3.3971238415983556,2010, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,20,9.77631385030864,9.02274031932356,0,3.2049082338721044,2010, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,19,7.044947259754664,7.000000000000001,0,2.786896921158129,2010, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,19,7.357598014492477,7.000000000000001,0,2.9286189734542547,2010, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,20,8.799198779182362,8.03239499642704,0,2.957347364630935,2010, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,20,8.33963144522272,8.167156104072207,0,3.0554683934258757,2010, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,17,5.6764667908497035,5.062837334399149,0,2.3532573887305097,2010, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,19,6.936061574723036,6.043695813669332,0,2.80168096389093,2010, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2011_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,19,8.014382134637641,8.065921486617562,0,3.005319997008607,2011, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,18,7.786604394463001,8.030904108012878,0,2.9951473441215617,2011, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,18,7.909475411195651,8.04074206598853,0,2.9993812641049513,2011, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,20,8.863009031862418,9.044357077281157,0,3.245194658272835,2011, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,21,9.259367648682057,9.023863977263359,0,3.2141394560740406,2011, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,21,10.29790976384232,10.037390075889148,0,3.473847570163514,2011, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,20,8.90209231786214,9.045258429787669,0,3.0451948272973426,2011, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,19,8.231959609535263,8.025700724672859,0,3.2610518028399538,2011, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,21,8.95106744382093,8.047024342413875,0,3.2649487185008526,2011, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,19,7.033347052377287,7.000000000000002,0,2.506077415417329,2011, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,20,7.9380036501806615,7.000000000000003,0,2.864942374415287,2011, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,19,6.630373692021823,6.042723650904471,0,2.53022115729616,2011, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,18,6.583590597403307,6.067019801103137,0,2.5070719659701743,2011, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2012_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,10,3.4503432417725457,3.0,0,1.5383079568253875,2012, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,10,4.204185352472864,4.031064222865001,0,1.7396060371153133,2012, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,12,4.17409364276544,4.038104283035046,0,1.8126001043626798,2012, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,12,4.622522102698979,5.041731284280546,0,1.7832128761137285,2012, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,11,4.198341099980023,4.029646875832333,0,1.6611479130867963,2012, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,11,4.232744416627448,4.045172485444992,0,1.5963911717423191,2012, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,11,4.443528794691162,4.0421331019123725,0,1.648347477430042,2012, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,11,4.162631029736392,4.038835549569842,0,1.7188052844015331,2012, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,11,4.191567455766047,4.0327865558121525,0,1.43601990182355,2012, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,11,4.191500166218341,4.030624884237546,0,1.674219700522072,2012, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,10,3.8868793005428492,4.05429422665045,0,1.4545291713442445,2012, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,11,3.481199147135233,2.9999999999999996,0,1.5982632104417391,2012, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,10,2.911140281513101,3.000000000000001,0,1.5221513283649368,2012, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2013_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,17,6.6241296617342575,6.065515929412443,0,2.6223791521408444,2013, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,17,6.3541252870711,6.044505389807355,0,2.596568396377266,2013, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,20,6.91457125731607,7.000000000000005,0,3.4686954399282963,2013, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,20,8.54135540963835,9.054811372330304,0,3.2341868472161903,2013, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,20,9.217697648017575,9.031361050443113,0,3.167312287383339,2013, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,22,8.926839760705157,8.033106186744623,0,3.6242809677595513,2013, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,22,9.413076858016396,9.032407080307227,0,3.359752263595931,2013, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,18,6.470022344789246,6.035030460945389,0,2.66169974928815,2013, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,17,5.986310935046778,6.063388280531943,0,2.451778557067307,2013, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,18,6.851947008684987,7.000000000000002,0,2.6969830611217858,2013, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,18,6.188760744228794,6.172936148066824,0,2.5416943958118066,2013, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,16,5.941153628408575,6.0402343760592325,0,2.1411147432093367,2013, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,18,5.349626311745908,5.038805537653749,0,2.3722653792100097,2013, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2014_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,16,6.001308271233226,6.065414118416573,0,2.491995982112986,2014, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,16,6.512210849515977,6.0352190451355,0,2.6918975038938946,2014, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,17,6.140081275861338,6.048450307461521,0,2.6019549106930104,2014, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,19,7.497020616947608,8.021627596964489,0,2.998211594029726,2014, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,20,8.075558472143047,8.027066792343746,0,3.180025294289549,2014, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,21,8.543779468378123,8.021590710706752,0,3.1566836997904955,2014, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,23,8.59403650759432,8.06128415888623,0,3.606323571686206,2014, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,17,6.260654912832196,6.023590600299835,0,2.471471161914512,2014, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,21,7.16074954078835,6.999999999999998,0,2.796587636862286,2014, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,19,6.702469676802233,6.032454033945849,0,2.514921839369089,2014, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,17,5.466830016922664,5.081365205635858,0,2.118352028586315,2014, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,19,6.790884728806272,7.000000000000001,0,2.8534384378183533,2014, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,17,5.18504232909588,5.042558975096994,0,2.328450550546516,2014, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2015_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,20,5.22158568998208,5.061592978746565,0,2.6631178062127314,2015, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,18,5.342956008393463,5.02255165159966,0,2.65465835353076,2015, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,20,8.359492829327094,8.032397239644634,0,3.250597667305258,2015, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,20,9.283985390855577,9.049231905229076,0,3.3171816032133177,2015, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,20,8.942875453004303,9.014755390575377,0,3.238518329055438,2015, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,21,7.989754893461832,7.000000000000001,0,2.811997259220645,2015, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,19,7.94884564934961,7.0,0,2.7446427877938904,2015, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,18,7.138827276202887,7.0,0,2.635890361224144,2015, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,17,6.336765858566743,6.076647010578841,0,2.405039638989797,2015, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,16,6.180261300792278,6.070331502235042,0,2.3831581395961363,2015, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,14,4.242058151457709,4.125578519838864,0,1.9126143635899162,2015, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,16,6.201852370566587,6.054421849449992,0,2.516513870009817,2015, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,16,5.073099304527415,5.051302075498457,0,2.15887820094784,2015, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2016_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,17,6.747409361427698,6.999999999999999,0,2.6207732048170276,2016, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,16,5.646185480192263,5.033212221018558,0,2.478741336721762,2016, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,21,7.222499216155115,6.999999999999999,0,3.329612615034677,2016, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,20,8.842387167022897,9.049150943245438,0,3.1533679598969515,2016, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,21,9.988769979479862,10.05853652563411,0,3.506605934820319,2016, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,17,7.786399944290938,7.000000000000003,0,2.7974940163853517,2016, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,19,8.644113411945597,8.035292738348726,0,3.007108123258419,2016, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,17,6.460835030726965,6.039517390025724,0,2.660637377400913,2016, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,18,6.506822371164305,6.067457565054176,0,2.5590771096023253,2016, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,17,6.845545095111256,6.044835040942332,0,2.586409074514715,2016, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,16,6.26974727324482,6.127173434209685,0,2.5580736402424367,2016, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,17,5.885978390083759,6.062270445162465,0,2.4954325876258197,2016, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,17,5.9604559885427335,6.059678843662617,0,2.3473833260934334,2016, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2017_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,17,6.13552614603044,6.1021515213341555,0,2.638276946391483,2017, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,19,7.179425642442301,7.000000000000002,0,2.7952863091894664,2017, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,19,6.8978013465072605,6.999999999999998,0,3.0834020489209895,2017, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,20,10.170101939728973,11.05208187735267,0,3.427483949722065,2017, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,22,10.444251229539258,10.040203290349119,0,3.6401114603911,2017, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,21,8.736210093022645,8.030287071162615,0,3.216903767362782,2017, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,22,9.557755917060971,9.046434520280899,0,3.305143619959008,2017, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,20,8.580685139081856,8.0281087549843,0,3.1333583454365175,2017, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,21,8.106920576313778,6.999999999999999,0,3.176242936338206,2017, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,19,7.205071126940485,7.0,0,2.8440197697229523,2017, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,18,7.043157520118314,6.999999999999999,0,2.5281849283023456,2017, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,17,5.693510471172315,5.047386779704896,0,2.382302580919133,2017, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,17,6.126543409599007,6.033198174383685,0,2.597180275060846,2017, 15 | -------------------------------------------------------------------------------- /data/landsat_availability/2018_landsatAvailability_JJA_13states.csv: -------------------------------------------------------------------------------- 1 | system:index,DRAWSEQ,STATE_ABBR,STATE_FIPS,STATE_NAME,SUB_REGION,area,max,mean,median,min,stdDev,year,.geo 2 | 0000b70c08860245e779,50,MI,26,Michigan,East North Central,7.25558E7,19,7.401253986364949,7.000000000000006,0,3.0483255119333754,2018, 3 | 00001de09675e4433d23,8,WI,55,Wisconsin,East North Central,7.09415E7,18,7.246659314309715,7.0,0,2.788919983337993,2018, 4 | 0000c013263eddb99a68,11,MN,27,Minnesota,West North Central,1.13537E8,18,5.376506179519387,5.048365416965768,0,2.636822035783566,2018, 5 | 0000adc8ef848c7e0012,5,ND,38,North Dakota,West North Central,9.90868E7,22,10.964195832044362,11.037332009237435,0,3.7938061525631097,2018, 6 | 000019d62ac5c6f8eaa0,6,SD,46,South Dakota,West North Central,9.694E7,20,9.839677888761802,10.049687699359096,0,3.6887387455487475,2018, 7 | 00003be65b10ac1113ad,34,KS,20,Kansas,West North Central,8.60122E7,21,9.179480329354641,9.019335811751828,0,3.3143150782536397,2018, 8 | 0000d4ebf2622802cfbc,16,NE,31,Nebraska,West North Central,8.83966E7,21,10.162557536822476,10.047460988093933,0,3.3558688640112817,2018, 9 | 0000c5b52afcd493211f,14,IA,19,Iowa,West North Central,6.54198E7,18,6.471326624590489,6.032083539421672,0,2.5667223426192294,2018, 10 | 00002e9462723431f9f4,36,MO,29,Missouri,West North Central,7.28638E7,19,6.444890353857765,6.04607986740981,0,2.780939419302788,2018, 11 | 0000ac7b5ba10088ae2b,27,IL,17,Illinois,East North Central,6.16458E7,19,7.393503747306388,6.999999999999998,0,2.727829756738635,2018, 12 | 0000ba5c7718496f6eb8,22,IN,18,Indiana,East North Central,3.96681E7,20,7.8860626723015885,7.000000000000002,0,2.8635859942603905,2018, 13 | 00007005eb9cf6f19eba,26,OH,39,Ohio,East North Central,4.5374E7,20,6.802720689416105,6.032399171803663,0,3.129536611331253,2018, 14 | 00009c6d3d6308c6bc8b,33,KY,21,Kentucky,East South Central,4.11078E7,20,7.57735734783661,7.0,0,2.8393058050773634,2018, 15 | -------------------------------------------------------------------------------- /results/CSDLvsCDL_users_producers_accuracies.csv: -------------------------------------------------------------------------------- 1 | State,State Code,Year,Crop Type,User's Accuracy,Producer's Accuracy 2 | Iowa,IA,2000,corn,0.764,0.906 3 | Iowa,IA,2000,soybean,0.881,0.757 4 | Iowa,IA,2000,other,0.577,0.369 5 | Iowa,IA,2001,corn,0.805,0.793 6 | Iowa,IA,2001,soybean,0.781,0.779 7 | Iowa,IA,2001,other,0.403,0.452 8 | Iowa,IA,2002,corn,0.823,0.859 9 | Iowa,IA,2002,soybean,0.82,0.826 10 | Iowa,IA,2002,other,0.641,0.431 11 | Iowa,IA,2003,corn,0.694,0.887 12 | Iowa,IA,2003,soybean,0.828,0.595 13 | Iowa,IA,2003,other,0.673,0.471 14 | Iowa,IA,2004,corn,0.85,0.931 15 | Iowa,IA,2004,soybean,0.922,0.826 16 | Iowa,IA,2004,other,0.562,0.535 17 | Iowa,IA,2005,corn,0.827,0.932 18 | Iowa,IA,2005,soybean,0.922,0.772 19 | Iowa,IA,2005,other,0.495,0.608 20 | Iowa,IA,2006,corn,0.788,0.91 21 | Iowa,IA,2006,soybean,0.874,0.735 22 | Iowa,IA,2006,other,0.733,0.603 23 | Iowa,IA,2007,corn,0.95,0.936 24 | Iowa,IA,2007,soybean,0.899,0.919 25 | Iowa,IA,2007,other,0.641,0.714 26 | Iowa,IA,2008,corn,0.961,0.944 27 | Iowa,IA,2008,soybean,0.924,0.94 28 | Iowa,IA,2008,other,0.656,0.808 29 | Iowa,IA,2009,corn,0.917,0.969 30 | Iowa,IA,2009,soybean,0.95,0.883 31 | Iowa,IA,2009,other,0.947,0.692 32 | Iowa,IA,2010,corn,0.923,0.965 33 | Iowa,IA,2010,soybean,0.96,0.89 34 | Iowa,IA,2010,other,0.643,0.844 35 | Iowa,IA,2011,corn,0.937,0.969 36 | Iowa,IA,2011,soybean,0.952,0.903 37 | Iowa,IA,2011,other,0.908,0.913 38 | Iowa,IA,2012,corn,0.902,0.942 39 | Iowa,IA,2012,soybean,0.894,0.841 40 | Iowa,IA,2012,other,0.904,0.833 41 | Iowa,IA,2013,corn,0.94,0.904 42 | Iowa,IA,2013,soybean,0.872,0.92 43 | Iowa,IA,2013,other,0.859,0.88 44 | Iowa,IA,2014,corn,0.94,0.958 45 | Iowa,IA,2014,soybean,0.946,0.918 46 | Iowa,IA,2014,other,0.897,0.904 47 | Iowa,IA,2015,corn,0.949,0.97 48 | Iowa,IA,2015,soybean,0.965,0.923 49 | Iowa,IA,2015,other,0.793,0.92 50 | Iowa,IA,2016,corn,0.936,0.959 51 | Iowa,IA,2016,soybean,0.95,0.923 52 | Iowa,IA,2016,other,0.815,0.757 53 | Iowa,IA,2017,corn,0.945,0.964 54 | Iowa,IA,2017,soybean,0.956,0.916 55 | Iowa,IA,2017,other,0.765,0.839 56 | Iowa,IA,2018,corn,0.896,0.968 57 | Iowa,IA,2018,soybean,0.954,0.86 58 | Iowa,IA,2018,other,0.9,0.874 59 | Illinois,IL,1999,corn,0.816,0.887 60 | Illinois,IL,1999,soybean,0.872,0.817 61 | Illinois,IL,1999,other,0.744,0.612 62 | Illinois,IL,2000,corn,0.776,0.925 63 | Illinois,IL,2000,soybean,0.89,0.749 64 | Illinois,IL,2000,other,0.826,0.65 65 | Illinois,IL,2001,corn,0.75,0.914 66 | Illinois,IL,2001,soybean,0.872,0.704 67 | Illinois,IL,2001,other,0.568,0.384 68 | Illinois,IL,2002,corn,0.841,0.81 69 | Illinois,IL,2002,soybean,0.808,0.816 70 | Illinois,IL,2002,other,0.46,0.652 71 | Illinois,IL,2003,corn,0.802,0.899 72 | Illinois,IL,2003,soybean,0.876,0.76 73 | Illinois,IL,2003,other,0.756,0.764 74 | Illinois,IL,2004,corn,0.804,0.929 75 | Illinois,IL,2004,soybean,0.906,0.706 76 | Illinois,IL,2004,other,0.436,0.686 77 | Illinois,IL,2005,corn,0.766,0.914 78 | Illinois,IL,2005,soybean,0.863,0.692 79 | Illinois,IL,2005,other,0.644,0.517 80 | Illinois,IL,2006,corn,0.83,0.931 81 | Illinois,IL,2006,soybean,0.861,0.84 82 | Illinois,IL,2006,other,0.928,0.459 83 | Illinois,IL,2007,corn,0.93,0.961 84 | Illinois,IL,2007,soybean,0.903,0.889 85 | Illinois,IL,2007,other,0.974,0.655 86 | Illinois,IL,2008,corn,0.931,0.933 87 | Illinois,IL,2008,soybean,0.893,0.893 88 | Illinois,IL,2008,other,0.701,0.681 89 | Illinois,IL,2009,corn,0.948,0.938 90 | Illinois,IL,2009,soybean,0.917,0.939 91 | Illinois,IL,2009,other,0.962,0.862 92 | Illinois,IL,2010,corn,0.929,0.972 93 | Illinois,IL,2010,soybean,0.952,0.88 94 | Illinois,IL,2010,other,0.654,0.708 95 | Illinois,IL,2011,corn,0.903,0.933 96 | Illinois,IL,2011,soybean,0.89,0.881 97 | Illinois,IL,2011,other,0.883,0.744 98 | Illinois,IL,2012,corn,0.916,0.939 99 | Illinois,IL,2012,soybean,0.896,0.867 100 | Illinois,IL,2012,other,0.864,0.792 101 | Illinois,IL,2013,corn,0.942,0.902 102 | Illinois,IL,2013,soybean,0.873,0.928 103 | Illinois,IL,2013,other,0.947,0.888 104 | Illinois,IL,2014,corn,0.952,0.969 105 | Illinois,IL,2014,soybean,0.954,0.938 106 | Illinois,IL,2014,other,0.826,0.745 107 | Illinois,IL,2015,corn,0.935,0.964 108 | Illinois,IL,2015,soybean,0.955,0.917 109 | Illinois,IL,2015,other,0.847,0.862 110 | Illinois,IL,2016,corn,0.935,0.965 111 | Illinois,IL,2016,soybean,0.956,0.926 112 | Illinois,IL,2016,other,0.841,0.755 113 | Illinois,IL,2017,corn,0.923,0.94 114 | Illinois,IL,2017,soybean,0.923,0.917 115 | Illinois,IL,2017,other,0.905,0.704 116 | Illinois,IL,2018,corn,0.91,0.967 117 | Illinois,IL,2018,soybean,0.953,0.913 118 | Illinois,IL,2018,other,0.956,0.683 119 | Indiana,IN,2000,corn,0.801,0.908 120 | Indiana,IN,2000,soybean,0.88,0.762 121 | Indiana,IN,2000,other,0.717,0.665 122 | Indiana,IN,2001,corn,0.826,0.922 123 | Indiana,IN,2001,soybean,0.882,0.825 124 | Indiana,IN,2001,other,0.804,0.562 125 | Indiana,IN,2002,corn,0.857,0.665 126 | Indiana,IN,2002,soybean,0.745,0.862 127 | Indiana,IN,2002,other,0.465,0.671 128 | Indiana,IN,2003,corn,0.799,0.907 129 | Indiana,IN,2003,soybean,0.878,0.771 130 | Indiana,IN,2003,other,0.734,0.681 131 | Indiana,IN,2004,corn,0.703,0.811 132 | Indiana,IN,2004,soybean,0.73,0.595 133 | Indiana,IN,2004,other,0.521,0.495 134 | Indiana,IN,2005,corn,0.684,0.914 135 | Indiana,IN,2005,soybean,0.891,0.685 136 | Indiana,IN,2005,other,0.789,0.607 137 | Indiana,IN,2006,corn,0.836,0.877 138 | Indiana,IN,2006,soybean,0.824,0.84 139 | Indiana,IN,2006,other,0.824,0.586 140 | Indiana,IN,2007,corn,0.857,0.941 141 | Indiana,IN,2007,soybean,0.886,0.79 142 | Indiana,IN,2007,other,0.917,0.627 143 | Indiana,IN,2008,corn,0.912,0.927 144 | Indiana,IN,2008,soybean,0.927,0.929 145 | Indiana,IN,2008,other,0.843,0.729 146 | Indiana,IN,2009,corn,0.916,0.886 147 | Indiana,IN,2009,soybean,0.876,0.919 148 | Indiana,IN,2009,other,0.912,0.775 149 | Indiana,IN,2010,corn,0.873,0.936 150 | Indiana,IN,2010,soybean,0.925,0.852 151 | Indiana,IN,2010,other,0.679,0.633 152 | Indiana,IN,2011,corn,0.893,0.861 153 | Indiana,IN,2011,soybean,0.858,0.895 154 | Indiana,IN,2011,other,0.829,0.791 155 | Indiana,IN,2012,corn,0.819,0.911 156 | Indiana,IN,2012,soybean,0.862,0.744 157 | Indiana,IN,2012,other,0.865,0.78 158 | Indiana,IN,2013,corn,0.936,0.898 159 | Indiana,IN,2013,soybean,0.87,0.919 160 | Indiana,IN,2013,other,0.86,0.86 161 | Indiana,IN,2014,corn,0.862,0.925 162 | Indiana,IN,2014,soybean,0.914,0.862 163 | Indiana,IN,2014,other,0.857,0.735 164 | Indiana,IN,2015,corn,0.85,0.917 165 | Indiana,IN,2015,soybean,0.899,0.84 166 | Indiana,IN,2015,other,0.81,0.694 167 | Indiana,IN,2016,corn,0.91,0.92 168 | Indiana,IN,2016,soybean,0.923,0.925 169 | Indiana,IN,2016,other,0.806,0.676 170 | Indiana,IN,2017,corn,0.874,0.885 171 | Indiana,IN,2017,soybean,0.889,0.887 172 | Indiana,IN,2017,other,0.738,0.66 173 | Indiana,IN,2018,corn,0.853,0.974 174 | Indiana,IN,2018,soybean,0.964,0.859 175 | Indiana,IN,2018,other,0.903,0.778 176 | Kansas,KS,2006,corn,0.732,0.9 177 | Kansas,KS,2006,soybean,0.89,0.703 178 | Kansas,KS,2006,other,0.953,0.943 179 | Kansas,KS,2007,corn,0.918,0.843 180 | Kansas,KS,2007,soybean,0.637,0.821 181 | Kansas,KS,2007,other,0.95,0.934 182 | Kansas,KS,2008,corn,0.964,0.867 183 | Kansas,KS,2008,soybean,0.836,0.836 184 | Kansas,KS,2008,other,0.946,0.973 185 | Kansas,KS,2009,corn,0.842,0.921 186 | Kansas,KS,2009,soybean,0.855,0.814 187 | Kansas,KS,2009,other,0.961,0.949 188 | Kansas,KS,2010,corn,0.891,0.888 189 | Kansas,KS,2010,soybean,0.849,0.797 190 | Kansas,KS,2010,other,0.927,0.947 191 | Kansas,KS,2011,corn,0.912,0.871 192 | Kansas,KS,2011,soybean,0.91,0.777 193 | Kansas,KS,2011,other,0.913,0.969 194 | Kansas,KS,2012,corn,0.851,0.856 195 | Kansas,KS,2012,soybean,0.867,0.721 196 | Kansas,KS,2012,other,0.913,0.949 197 | Kansas,KS,2013,corn,0.909,0.856 198 | Kansas,KS,2013,soybean,0.89,0.826 199 | Kansas,KS,2013,other,0.95,0.976 200 | Kansas,KS,2014,corn,0.895,0.911 201 | Kansas,KS,2014,soybean,0.909,0.821 202 | Kansas,KS,2014,other,0.954,0.968 203 | Kansas,KS,2015,corn,0.884,0.904 204 | Kansas,KS,2015,soybean,0.812,0.867 205 | Kansas,KS,2015,other,0.959,0.938 206 | Kansas,KS,2016,corn,0.913,0.928 207 | Kansas,KS,2016,soybean,0.917,0.882 208 | Kansas,KS,2016,other,0.955,0.959 209 | Kansas,KS,2017,corn,0.916,0.842 210 | Kansas,KS,2017,soybean,0.918,0.786 211 | Kansas,KS,2017,other,0.875,0.964 212 | Kansas,KS,2018,corn,0.931,0.899 213 | Kansas,KS,2018,soybean,0.869,0.799 214 | Kansas,KS,2018,other,0.911,0.951 215 | Kentucky,KY,2008,corn,0.839,0.83 216 | Kentucky,KY,2008,soybean,0.755,0.645 217 | Kentucky,KY,2008,other,0.876,0.931 218 | Kentucky,KY,2009,corn,0.896,0.841 219 | Kentucky,KY,2009,soybean,0.825,0.909 220 | Kentucky,KY,2009,other,0.938,0.913 221 | Kentucky,KY,2010,corn,0.795,0.886 222 | Kentucky,KY,2010,soybean,0.893,0.704 223 | Kentucky,KY,2010,other,0.938,0.978 224 | Kentucky,KY,2011,corn,0.953,0.863 225 | Kentucky,KY,2011,soybean,0.857,0.857 226 | Kentucky,KY,2011,other,0.767,0.971 227 | Kentucky,KY,2012,corn,0.908,0.879 228 | Kentucky,KY,2012,soybean,0.797,0.758 229 | Kentucky,KY,2012,other,0.75,0.909 230 | Kentucky,KY,2013,corn,0.947,0.84 231 | Kentucky,KY,2013,soybean,0.74,0.844 232 | Kentucky,KY,2013,other,0.891,0.918 233 | Kentucky,KY,2014,corn,0.932,0.854 234 | Kentucky,KY,2014,soybean,0.864,0.905 235 | Kentucky,KY,2014,other,0.895,0.939 236 | Kentucky,KY,2015,corn,0.947,0.9 237 | Kentucky,KY,2015,soybean,0.866,0.832 238 | Kentucky,KY,2015,other,0.899,0.95 239 | Kentucky,KY,2016,corn,0.899,0.875 240 | Kentucky,KY,2016,soybean,0.857,0.841 241 | Kentucky,KY,2016,other,0.911,0.935 242 | Kentucky,KY,2017,corn,0.938,0.809 243 | Kentucky,KY,2017,soybean,0.862,0.891 244 | Kentucky,KY,2017,other,0.908,0.961 245 | Kentucky,KY,2018,corn,0.825,0.93 246 | Kentucky,KY,2018,soybean,0.933,0.845 247 | Kentucky,KY,2018,other,0.919,0.934 248 | Michigan,MI,2007,corn,0.817,0.778 249 | Michigan,MI,2007,soybean,0.8,0.592 250 | Michigan,MI,2007,other,0.659,0.901 251 | Michigan,MI,2008,corn,0.886,0.864 252 | Michigan,MI,2008,soybean,0.902,0.76 253 | Michigan,MI,2008,other,0.853,0.974 254 | Michigan,MI,2009,corn,0.841,0.733 255 | Michigan,MI,2009,soybean,0.783,0.754 256 | Michigan,MI,2009,other,0.816,0.949 257 | Michigan,MI,2010,corn,0.784,0.762 258 | Michigan,MI,2010,soybean,0.887,0.683 259 | Michigan,MI,2010,other,0.801,0.951 260 | Michigan,MI,2011,corn,0.864,0.83 261 | Michigan,MI,2011,soybean,0.796,0.779 262 | Michigan,MI,2011,other,0.879,0.927 263 | Michigan,MI,2012,corn,0.76,0.817 264 | Michigan,MI,2012,soybean,0.754,0.682 265 | Michigan,MI,2012,other,0.88,0.88 266 | Michigan,MI,2013,corn,0.862,0.822 267 | Michigan,MI,2013,soybean,0.816,0.774 268 | Michigan,MI,2013,other,0.851,0.926 269 | Michigan,MI,2014,corn,0.826,0.86 270 | Michigan,MI,2014,soybean,0.817,0.761 271 | Michigan,MI,2014,other,0.882,0.899 272 | Michigan,MI,2015,corn,0.798,0.836 273 | Michigan,MI,2015,soybean,0.876,0.69 274 | Michigan,MI,2015,other,0.771,0.887 275 | Michigan,MI,2016,corn,0.771,0.849 276 | Michigan,MI,2016,soybean,0.896,0.746 277 | Michigan,MI,2016,other,0.847,0.898 278 | Michigan,MI,2017,corn,0.865,0.812 279 | Michigan,MI,2017,soybean,0.838,0.777 280 | Michigan,MI,2017,other,0.822,0.926 281 | Michigan,MI,2018,corn,0.725,0.787 282 | Michigan,MI,2018,soybean,0.764,0.674 283 | Michigan,MI,2018,other,0.858,0.877 284 | Minnesota,MN,2006,corn,0.852,0.855 285 | Minnesota,MN,2006,soybean,0.903,0.792 286 | Minnesota,MN,2006,other,0.722,0.923 287 | Minnesota,MN,2007,corn,0.886,0.89 288 | Minnesota,MN,2007,soybean,0.901,0.833 289 | Minnesota,MN,2007,other,0.767,0.876 290 | Minnesota,MN,2008,corn,0.958,0.919 291 | Minnesota,MN,2008,soybean,0.877,0.952 292 | Minnesota,MN,2008,other,0.961,0.898 293 | Minnesota,MN,2009,corn,0.917,0.932 294 | Minnesota,MN,2009,soybean,0.885,0.904 295 | Minnesota,MN,2009,other,0.937,0.869 296 | Minnesota,MN,2010,corn,0.916,0.943 297 | Minnesota,MN,2010,soybean,0.935,0.901 298 | Minnesota,MN,2010,other,0.897,0.911 299 | Minnesota,MN,2011,corn,0.944,0.9 300 | Minnesota,MN,2011,soybean,0.862,0.927 301 | Minnesota,MN,2011,other,0.936,0.898 302 | Minnesota,MN,2012,corn,0.883,0.908 303 | Minnesota,MN,2012,soybean,0.866,0.856 304 | Minnesota,MN,2012,other,0.894,0.857 305 | Minnesota,MN,2013,corn,0.935,0.88 306 | Minnesota,MN,2013,soybean,0.849,0.912 307 | Minnesota,MN,2013,other,0.876,0.869 308 | Minnesota,MN,2014,corn,0.942,0.873 309 | Minnesota,MN,2014,soybean,0.851,0.908 310 | Minnesota,MN,2014,other,0.846,0.856 311 | Minnesota,MN,2015,corn,0.947,0.915 312 | Minnesota,MN,2015,soybean,0.925,0.915 313 | Minnesota,MN,2015,other,0.854,0.927 314 | Minnesota,MN,2016,corn,0.896,0.956 315 | Minnesota,MN,2016,soybean,0.925,0.884 316 | Minnesota,MN,2016,other,0.888,0.851 317 | Minnesota,MN,2017,corn,0.934,0.916 318 | Minnesota,MN,2017,soybean,0.903,0.906 319 | Minnesota,MN,2017,other,0.88,0.911 320 | Minnesota,MN,2018,corn,0.842,0.919 321 | Minnesota,MN,2018,soybean,0.894,0.784 322 | Minnesota,MN,2018,other,0.84,0.879 323 | Missouri,MO,2001,corn,0.423,0.963 324 | Missouri,MO,2001,soybean,0.515,0.681 325 | Missouri,MO,2001,other,0.227,0.09 326 | Missouri,MO,2002,corn,0.623,0.659 327 | Missouri,MO,2002,soybean,0.598,0.59 328 | Missouri,MO,2002,other,0.423,0.42 329 | Missouri,MO,2003,corn,0.728,0.925 330 | Missouri,MO,2003,soybean,0.424,0.66 331 | Missouri,MO,2003,other,0.222,0.081 332 | Missouri,MO,2004,corn,0.634,0.849 333 | Missouri,MO,2004,soybean,0.611,0.525 334 | Missouri,MO,2004,other,0.161,0.149 335 | Missouri,MO,2005,corn,0.676,0.676 336 | Missouri,MO,2005,soybean,0.501,0.529 337 | Missouri,MO,2005,other,0.353,0.326 338 | Missouri,MO,2006,corn,0.828,0.927 339 | Missouri,MO,2006,soybean,0.844,0.867 340 | Missouri,MO,2006,other,0.722,0.484 341 | Missouri,MO,2007,corn,0.896,0.809 342 | Missouri,MO,2007,soybean,0.779,0.926 343 | Missouri,MO,2007,other,0.839,0.515 344 | Missouri,MO,2008,corn,0.863,0.833 345 | Missouri,MO,2008,soybean,0.851,0.901 346 | Missouri,MO,2008,other,0.904,0.854 347 | Missouri,MO,2009,corn,0.837,0.791 348 | Missouri,MO,2009,soybean,0.841,0.88 349 | Missouri,MO,2009,other,0.87,0.852 350 | Missouri,MO,2010,corn,0.93,0.895 351 | Missouri,MO,2010,soybean,0.907,0.945 352 | Missouri,MO,2010,other,0.762,0.681 353 | Missouri,MO,2011,corn,0.84,0.918 354 | Missouri,MO,2011,soybean,0.912,0.888 355 | Missouri,MO,2011,other,0.862,0.784 356 | Missouri,MO,2012,corn,0.909,0.891 357 | Missouri,MO,2012,soybean,0.86,0.919 358 | Missouri,MO,2012,other,0.935,0.833 359 | Missouri,MO,2013,corn,0.916,0.785 360 | Missouri,MO,2013,soybean,0.805,0.915 361 | Missouri,MO,2013,other,0.888,0.839 362 | Missouri,MO,2014,corn,0.921,0.932 363 | Missouri,MO,2014,soybean,0.915,0.936 364 | Missouri,MO,2014,other,0.939,0.874 365 | Missouri,MO,2015,corn,0.927,0.927 366 | Missouri,MO,2015,soybean,0.903,0.939 367 | Missouri,MO,2015,other,0.939,0.871 368 | Missouri,MO,2016,corn,0.95,0.921 369 | Missouri,MO,2016,soybean,0.911,0.939 370 | Missouri,MO,2016,other,0.909,0.891 371 | Missouri,MO,2017,corn,0.938,0.908 372 | Missouri,MO,2017,soybean,0.879,0.907 373 | Missouri,MO,2017,other,0.835,0.813 374 | Missouri,MO,2018,corn,0.915,0.908 375 | Missouri,MO,2018,soybean,0.913,0.921 376 | Missouri,MO,2018,other,0.89,0.882 377 | North Dakota,ND,1999,corn,0.419,0.476 378 | North Dakota,ND,1999,soybean,0.395,0.77 379 | North Dakota,ND,1999,other,0.959,0.88 380 | North Dakota,ND,2000,corn,0.43,0.466 381 | North Dakota,ND,2000,soybean,0.71,0.677 382 | North Dakota,ND,2000,other,0.953,0.955 383 | North Dakota,ND,2001,corn,0.512,0.488 384 | North Dakota,ND,2001,soybean,0.648,0.807 385 | North Dakota,ND,2001,other,0.97,0.94 386 | North Dakota,ND,2002,corn,0.484,0.577 387 | North Dakota,ND,2002,soybean,0.545,0.718 388 | North Dakota,ND,2002,other,0.956,0.905 389 | North Dakota,ND,2003,corn,0.575,0.559 390 | North Dakota,ND,2003,soybean,0.75,0.43 391 | North Dakota,ND,2003,other,0.81,0.941 392 | North Dakota,ND,2004,corn,0.621,0.431 393 | North Dakota,ND,2004,soybean,0.762,0.554 394 | North Dakota,ND,2004,other,0.877,0.961 395 | North Dakota,ND,2005,corn,0.612,0.508 396 | North Dakota,ND,2005,soybean,0.706,0.707 397 | North Dakota,ND,2005,other,0.925,0.94 398 | North Dakota,ND,2006,corn,0.759,0.619 399 | North Dakota,ND,2006,soybean,0.876,0.679 400 | North Dakota,ND,2006,other,0.906,0.978 401 | North Dakota,ND,2007,corn,0.898,0.618 402 | North Dakota,ND,2007,soybean,0.715,0.875 403 | North Dakota,ND,2007,other,0.947,0.954 404 | North Dakota,ND,2008,corn,0.904,0.821 405 | North Dakota,ND,2008,soybean,0.892,0.892 406 | North Dakota,ND,2008,other,0.968,0.982 407 | North Dakota,ND,2009,corn,0.931,0.824 408 | North Dakota,ND,2009,soybean,0.928,0.842 409 | North Dakota,ND,2009,other,0.946,0.988 410 | North Dakota,ND,2010,corn,0.889,0.823 411 | North Dakota,ND,2010,soybean,0.884,0.892 412 | North Dakota,ND,2010,other,0.96,0.969 413 | North Dakota,ND,2011,corn,0.91,0.772 414 | North Dakota,ND,2011,soybean,0.859,0.859 415 | North Dakota,ND,2011,other,0.946,0.972 416 | North Dakota,ND,2012,corn,0.819,0.693 417 | North Dakota,ND,2012,soybean,0.783,0.819 418 | North Dakota,ND,2012,other,0.942,0.966 419 | North Dakota,ND,2013,corn,0.907,0.75 420 | North Dakota,ND,2013,soybean,0.82,0.889 421 | North Dakota,ND,2013,other,0.935,0.962 422 | North Dakota,ND,2014,corn,0.917,0.814 423 | North Dakota,ND,2014,soybean,0.873,0.896 424 | North Dakota,ND,2014,other,0.946,0.956 425 | North Dakota,ND,2015,corn,0.924,0.756 426 | North Dakota,ND,2015,soybean,0.9,0.904 427 | North Dakota,ND,2015,other,0.954,0.983 428 | North Dakota,ND,2016,corn,0.86,0.842 429 | North Dakota,ND,2016,soybean,0.853,0.858 430 | North Dakota,ND,2016,other,0.951,0.953 431 | North Dakota,ND,2017,corn,0.937,0.809 432 | North Dakota,ND,2017,soybean,0.906,0.911 433 | North Dakota,ND,2017,other,0.942,0.972 434 | North Dakota,ND,2018,corn,0.848,0.718 435 | North Dakota,ND,2018,soybean,0.889,0.883 436 | North Dakota,ND,2018,other,0.921,0.958 437 | Nebraska,NE,2001,corn,0.7,0.875 438 | Nebraska,NE,2001,soybean,0.851,0.671 439 | Nebraska,NE,2001,other,0.56,0.481 440 | Nebraska,NE,2002,corn,0.685,0.871 441 | Nebraska,NE,2002,soybean,0.922,0.435 442 | Nebraska,NE,2002,other,0.753,0.828 443 | Nebraska,NE,2003,corn,0.72,0.894 444 | Nebraska,NE,2003,soybean,0.866,0.543 445 | Nebraska,NE,2003,other,0.852,0.833 446 | Nebraska,NE,2004,corn,0.804,0.89 447 | Nebraska,NE,2004,soybean,0.897,0.719 448 | Nebraska,NE,2004,other,0.747,0.794 449 | Nebraska,NE,2005,corn,0.818,0.849 450 | Nebraska,NE,2005,soybean,0.846,0.731 451 | Nebraska,NE,2005,other,0.699,0.775 452 | Nebraska,NE,2006,corn,0.588,0.591 453 | Nebraska,NE,2006,soybean,0.452,0.278 454 | Nebraska,NE,2006,other,0.427,0.68 455 | Nebraska,NE,2007,corn,0.953,0.953 456 | Nebraska,NE,2007,soybean,0.879,0.899 457 | Nebraska,NE,2007,other,0.926,0.894 458 | Nebraska,NE,2008,corn,0.92,0.952 459 | Nebraska,NE,2008,soybean,0.934,0.865 460 | Nebraska,NE,2008,other,0.916,0.939 461 | Nebraska,NE,2009,corn,0.924,0.964 462 | Nebraska,NE,2009,soybean,0.938,0.886 463 | Nebraska,NE,2009,other,0.919,0.876 464 | Nebraska,NE,2010,corn,0.929,0.958 465 | Nebraska,NE,2010,soybean,0.949,0.891 466 | Nebraska,NE,2010,other,0.886,0.899 467 | Nebraska,NE,2011,corn,0.928,0.953 468 | Nebraska,NE,2011,soybean,0.931,0.904 469 | Nebraska,NE,2011,other,0.944,0.903 470 | Nebraska,NE,2012,corn,0.868,0.941 471 | Nebraska,NE,2012,soybean,0.871,0.773 472 | Nebraska,NE,2012,other,0.936,0.833 473 | Nebraska,NE,2013,corn,0.936,0.961 474 | Nebraska,NE,2013,soybean,0.946,0.913 475 | Nebraska,NE,2013,other,0.898,0.862 476 | Nebraska,NE,2014,corn,0.894,0.965 477 | Nebraska,NE,2014,soybean,0.933,0.846 478 | Nebraska,NE,2014,other,0.934,0.867 479 | Nebraska,NE,2015,corn,0.934,0.945 480 | Nebraska,NE,2015,soybean,0.921,0.908 481 | Nebraska,NE,2015,other,0.899,0.887 482 | Nebraska,NE,2016,corn,0.947,0.963 483 | Nebraska,NE,2016,soybean,0.942,0.914 484 | Nebraska,NE,2016,other,0.922,0.909 485 | Nebraska,NE,2017,corn,0.919,0.962 486 | Nebraska,NE,2017,soybean,0.968,0.892 487 | Nebraska,NE,2017,other,0.888,0.885 488 | Nebraska,NE,2018,corn,0.91,0.971 489 | Nebraska,NE,2018,soybean,0.943,0.885 490 | Nebraska,NE,2018,other,0.917,0.818 491 | Ohio,OH,2006,corn,0.679,0.869 492 | Ohio,OH,2006,soybean,0.895,0.736 493 | Ohio,OH,2006,other,0.878,0.901 494 | Ohio,OH,2007,corn,0.737,0.853 495 | Ohio,OH,2007,soybean,0.834,0.712 496 | Ohio,OH,2007,other,0.835,0.848 497 | Ohio,OH,2008,corn,0.903,0.875 498 | Ohio,OH,2008,soybean,0.901,0.909 499 | Ohio,OH,2008,other,0.908,0.948 500 | Ohio,OH,2009,corn,0.858,0.778 501 | Ohio,OH,2009,soybean,0.829,0.926 502 | Ohio,OH,2009,other,0.972,0.805 503 | Ohio,OH,2010,corn,0.858,0.873 504 | Ohio,OH,2010,soybean,0.905,0.877 505 | Ohio,OH,2010,other,0.875,0.946 506 | Ohio,OH,2011,corn,0.89,0.701 507 | Ohio,OH,2011,soybean,0.803,0.938 508 | Ohio,OH,2011,other,0.944,0.913 509 | Ohio,OH,2012,corn,0.801,0.806 510 | Ohio,OH,2012,soybean,0.836,0.831 511 | Ohio,OH,2012,other,0.847,0.847 512 | Ohio,OH,2013,corn,0.881,0.878 513 | Ohio,OH,2013,soybean,0.902,0.92 514 | Ohio,OH,2013,other,0.944,0.872 515 | Ohio,OH,2014,corn,0.865,0.908 516 | Ohio,OH,2014,soybean,0.914,0.909 517 | Ohio,OH,2014,other,0.971,0.829 518 | Ohio,OH,2015,corn,0.876,0.843 519 | Ohio,OH,2015,soybean,0.891,0.904 520 | Ohio,OH,2015,other,0.828,0.872 521 | Ohio,OH,2016,corn,0.903,0.848 522 | Ohio,OH,2016,soybean,0.889,0.922 523 | Ohio,OH,2016,other,0.88,0.901 524 | Ohio,OH,2017,corn,0.865,0.834 525 | Ohio,OH,2017,soybean,0.894,0.899 526 | Ohio,OH,2017,other,0.758,0.821 527 | Ohio,OH,2018,corn,0.83,0.867 528 | Ohio,OH,2018,soybean,0.906,0.876 529 | Ohio,OH,2018,other,0.87,0.889 530 | South Dakota,SD,2006,corn,0.707,0.773 531 | South Dakota,SD,2006,soybean,0.934,0.482 532 | South Dakota,SD,2006,other,0.714,0.974 533 | South Dakota,SD,2007,corn,0.918,0.788 534 | South Dakota,SD,2007,soybean,0.8,0.828 535 | South Dakota,SD,2007,other,0.84,0.961 536 | South Dakota,SD,2008,corn,0.924,0.879 537 | South Dakota,SD,2008,soybean,0.915,0.909 538 | South Dakota,SD,2008,other,0.945,0.98 539 | South Dakota,SD,2009,corn,0.922,0.933 540 | South Dakota,SD,2009,soybean,0.939,0.915 541 | South Dakota,SD,2009,other,0.962,0.97 542 | South Dakota,SD,2010,corn,0.879,0.893 543 | South Dakota,SD,2010,soybean,0.924,0.859 544 | South Dakota,SD,2010,other,0.934,0.96 545 | South Dakota,SD,2011,corn,0.884,0.905 546 | South Dakota,SD,2011,soybean,0.913,0.837 547 | South Dakota,SD,2011,other,0.941,0.967 548 | South Dakota,SD,2012,corn,0.784,0.839 549 | South Dakota,SD,2012,soybean,0.856,0.741 550 | South Dakota,SD,2012,other,0.913,0.94 551 | South Dakota,SD,2013,corn,0.881,0.887 552 | South Dakota,SD,2013,soybean,0.89,0.884 553 | South Dakota,SD,2013,other,0.929,0.928 554 | South Dakota,SD,2014,corn,0.921,0.915 555 | South Dakota,SD,2014,soybean,0.922,0.92 556 | South Dakota,SD,2014,other,0.947,0.952 557 | South Dakota,SD,2015,corn,0.885,0.936 558 | South Dakota,SD,2015,soybean,0.943,0.912 559 | South Dakota,SD,2015,other,0.952,0.926 560 | South Dakota,SD,2016,corn,0.903,0.922 561 | South Dakota,SD,2016,soybean,0.951,0.89 562 | South Dakota,SD,2016,other,0.916,0.948 563 | South Dakota,SD,2017,corn,0.91,0.859 564 | South Dakota,SD,2017,soybean,0.926,0.877 565 | South Dakota,SD,2017,other,0.873,0.963 566 | South Dakota,SD,2018,corn,0.873,0.902 567 | South Dakota,SD,2018,soybean,0.914,0.891 568 | South Dakota,SD,2018,other,0.923,0.92 569 | Wisconsin,WI,2003,corn,0.657,0.832 570 | Wisconsin,WI,2003,soybean,0.617,0.274 571 | Wisconsin,WI,2003,other,0.696,0.66 572 | Wisconsin,WI,2004,corn,0.765,0.715 573 | Wisconsin,WI,2004,soybean,0.694,0.484 574 | Wisconsin,WI,2004,other,0.604,0.843 575 | Wisconsin,WI,2005,corn,0.702,0.761 576 | Wisconsin,WI,2005,soybean,0.699,0.397 577 | Wisconsin,WI,2005,other,0.633,0.737 578 | Wisconsin,WI,2006,corn,0.837,0.802 579 | Wisconsin,WI,2006,soybean,0.804,0.649 580 | Wisconsin,WI,2006,other,0.73,0.901 581 | Wisconsin,WI,2007,corn,0.804,0.846 582 | Wisconsin,WI,2007,soybean,0.776,0.437 583 | Wisconsin,WI,2007,other,0.787,0.905 584 | Wisconsin,WI,2008,corn,0.82,0.865 585 | Wisconsin,WI,2008,soybean,0.837,0.649 586 | Wisconsin,WI,2008,other,0.87,0.907 587 | Wisconsin,WI,2009,corn,0.787,0.873 588 | Wisconsin,WI,2009,soybean,0.756,0.504 589 | Wisconsin,WI,2009,other,0.891,0.912 590 | Wisconsin,WI,2010,corn,0.81,0.934 591 | Wisconsin,WI,2010,soybean,0.938,0.591 592 | Wisconsin,WI,2010,other,0.884,0.904 593 | Wisconsin,WI,2011,corn,0.884,0.923 594 | Wisconsin,WI,2011,soybean,0.909,0.763 595 | Wisconsin,WI,2011,other,0.881,0.914 596 | Wisconsin,WI,2012,corn,0.782,0.911 597 | Wisconsin,WI,2012,soybean,0.843,0.492 598 | Wisconsin,WI,2012,other,0.881,0.847 599 | Wisconsin,WI,2013,corn,0.838,0.825 600 | Wisconsin,WI,2013,soybean,0.788,0.669 601 | Wisconsin,WI,2013,other,0.8,0.9 602 | Wisconsin,WI,2014,corn,0.824,0.891 603 | Wisconsin,WI,2014,soybean,0.876,0.625 604 | Wisconsin,WI,2014,other,0.871,0.919 605 | Wisconsin,WI,2015,corn,0.856,0.887 606 | Wisconsin,WI,2015,soybean,0.898,0.683 607 | Wisconsin,WI,2015,other,0.851,0.95 608 | Wisconsin,WI,2016,corn,0.855,0.899 609 | Wisconsin,WI,2016,soybean,0.899,0.685 610 | Wisconsin,WI,2016,other,0.871,0.927 611 | Wisconsin,WI,2017,corn,0.82,0.875 612 | Wisconsin,WI,2017,soybean,0.911,0.661 613 | Wisconsin,WI,2017,other,0.795,0.894 614 | Wisconsin,WI,2018,corn,0.847,0.893 615 | Wisconsin,WI,2018,soybean,0.882,0.723 616 | Wisconsin,WI,2018,other,0.819,0.859 617 | -------------------------------------------------------------------------------- /results/webster_city_legend.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LobellLab/csdl/dc3e40ffff0c654429c238a00e2a7ff8cf7f29cf/results/webster_city_legend.png --------------------------------------------------------------------------------