└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # nicar20-imagery-sources 2 | Sources for earth imagery 3 | 4 | ## Data and Imagery Viewers 5 | * [Colorado State University RAMMB Slider](https://rammb-slider.cira.colostate.edu) 6 | * GOES 16/17 and Himawari 7 | * [NOAA View](https://www.nnvl.noaa.gov/view/globaldata.html) 8 | * Daily ocean, land and atmospheric data 9 | * [NASA Worldview](https://worldview.earthdata.nasa.gov/) 10 | * Satellite data cornucopia 11 | * [University of Wisconsin-Madison SSEC/CIMSS RealEarth](https://realearth.ssec.wisc.edu/) 12 | * Satellite data cornucopia 13 | * [Resource Watch](https://resourcewatch.org/data/explore) 14 | * Hundreds of data sets, many of them climate related 15 | * [Global Forest Watch](https://www.globalforestwatch.org/map) 16 | * Data and tools for monitoring forests 17 | * [Planet.parts](https://planet.parts/) 18 | * Curated by [Charlie Loyd](https://twitter.com/vruba/) 19 | * It is the most comprehensive list of near-realtime Earth observation resources out there. 20 | 21 | ## Direct data sources 22 | 23 | * [**USGS Earth Explorer**](https://earthexplorer.usgs.gov) 24 | * [Landsat](https://landsat.gsfc.nasa.gov/) 25 | * Longest-running enterprise for acquisition of satellite imagery of Earth 26 | * Similar spectral bands make for easier, fairer mapping of change over time 27 | * USDA [NAIP](https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/) (US only, no AK or HI 😬) 28 | * ~1 meter RGB+NIR imagery 29 | * New images every two years, starting in roughly 2003 30 | * Also available [here](https://nrcs.app.box.com/v/naip) 31 | * [Sentinel-2](https://sentinel.esa.int/web/sentinel/missions/sentinel-2) 32 | * [SRTM](https://www2.jpl.nasa.gov/srtm/) as well as other elevation datasets 33 | * [Declassified](https://www.usgs.gov/science-explorer-results?es=declassified) spy satellite imagery from the 1960s and 1970s. 34 | 35 | * [**NOAA CLASS**](https://www.bou.class.noaa.gov/saa/products/welcome) 36 | * [VIIRS](https://ncc.nesdis.noaa.gov/VIIRS/) 37 | * US-only VIIRS for last week [here](ftp://ftp.ssec.wisc.edu/pub/eosdb/npp/viirs/) 38 | * GOES-R 39 | * Not the easiest to use 40 | 41 | * [**Copernicus Open Access Hub**](https://scihub.copernicus.eu/dhus/#/home) 42 | * Sentinel-1 synthetic-aperture radar 43 | * Sentinel-2 (like Landsat) 44 | * Sentinel-3 (like MODIS or VIIRS) 45 | * [Sentinel-5P](https://earth.esa.int/web/guest/missions/esa-eo-missions/sentinel-5p) (greenhouse gas data) 46 | 47 | * [**NASA EARTHDATA**](https://earthdata.nasa.gov/) 48 | * Countless data products—go hunting! 49 | * [Alaska Satellite Facility](https://asf.alaska.edu/), a source for current and historic (back to the 1970s!) RADAR data, is available through this login 50 | 51 | * [**GEO on AWS**](https://registry.opendata.aws/?search=tags:gis,earth%20observation,events,mapping,meteorological,environmental,transportation) 52 | * Many, many datasets. Here are only a few: 53 | * [Sentinel-2](https://registry.opendata.aws/sentinel-2/) 54 | * [Landsat 8](https://landsatonaws.com/) 55 | * [GOES](https://registry.opendata.aws/noaa-goes/) 56 | * [Mapzen Terrain Tiles](https://registry.opendata.aws/terrain-tiles/) 57 | 58 | ## Sources through a platform or company 59 | 60 | * [**Google Earth Engine**](https://developers.google.com/earth-engine/datasets/) 61 | * Too many datasets to list here 62 | * [**Planet**](https://www.planet.com/) 63 | * High temporal resolution 64 | * Relatively high spatial resolution 65 | * Relatively low spectral resolution 66 | * [**Maxar**](https://www.maxar.com/) 67 | * High resolution RGB and synthetic-aperture radar data. 68 | * Cannot always share 69 | * [**Iceye**](https://www.iceye.com/) 70 | * High spatial and temporal resolution synthetic-aperture radar data 71 | * [**Airbus**](https://www.intelligence-airbusds.com/optical-and-radar-data/) 72 | * High resolution RGB and synthetic-aperture radar imagery. 73 | * [**Blacksky**](https://www.blacksky.com/) 74 | * Plan for high temporal resolution 75 | * Relatively high spatial resolution 76 | * Relatively low spectral resolution 77 | 78 | P.S. Hate clicking through dozens of links to figure out what the heck I'm talking about? Check out [Joe Morrison's](https://twitter.com/mouthofmorrison) excellent post on [How to Find the Most Recent Satellite Imagery Anywhere on Earth.](https://www.azavea.com/blog/2020/01/02/how-to-find-the-most-recent-satellite-imagery/) 79 | --------------------------------------------------------------------------------