├── .gitignore
├── LICENSE.txt
├── README.md
├── environment.yml
└── notebooks
├── animate_netcdf_sat_images.ipynb
├── compare_EUMETSAT_file_formats.ipynb
├── convert_native_to_reprojected_netcdf.ipynb
├── data_getter_experiments_jpeg.ipynb
├── explore_y_offset.ipynb
├── old_experiments
├── data_getter_experiments_nat.ipynb
├── data_getter_experiments_nat_rasterio.ipynb
├── data_getter_experiments_nat_satpy_resample.ipynb
├── test_crash_cartopy.ipynb
└── test_crash_pyresample.ipynb
├── prep_data_for_UCL_and_QMUL.ipynb
└── untar_jpegs.ipynb
/.gitignore:
--------------------------------------------------------------------------------
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/README.md:
--------------------------------------------------------------------------------
1 | # Installation
2 |
3 | ```
4 | git clone
5 | conda env create -f environment.yml
6 | conda activate sat_image_processing
7 | ```
8 |
9 |
10 | ### Install Jupyter lab interactive plotting for matplotlib
11 |
12 | See the [jupyter-matplotlib docs for more info](https://github.com/matplotlib/jupyter-matplotlib). The short version is to run these commands from within the `sat_image_processing` env:
13 |
14 | ```
15 | jupyter labextension install @jupyter-widgets/jupyterlab-manager
16 | jupyter labextension install jupyter-matplotlib
17 | ```
18 |
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/environment.yml:
--------------------------------------------------------------------------------
1 | name: sat_image_processing
2 | channels:
3 | - conda-forge
4 | - pytorch
5 | - pvlib
6 | dependencies:
7 | - python>=3.7
8 | - pytest
9 | - pytables
10 | - pandas
11 | - matplotlib
12 | - jupyterlab
13 | - ipympl
14 | - nodejs
15 | - satpy
16 | - netCDF4
17 | - xarray
18 | - cartopy
19 | - pyproj
20 | - geopandas
21 | - rasterio
22 | - pillow # for image loading and processing
23 | - gdal
24 | - pytorch
25 | - pvlib
26 |
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/notebooks/old_experiments/test_crash_cartopy.ipynb:
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1 | {
2 | "cells": [
3 | {
4 | "cell_type": "code",
5 | "execution_count": 1,
6 | "metadata": {},
7 | "outputs": [],
8 | "source": [
9 | "import cartopy\n",
10 | "import cartopy.crs as ccrs\n",
11 | "#import ipdb"
12 | ]
13 | },
14 | {
15 | "cell_type": "code",
16 | "execution_count": 2,
17 | "metadata": {},
18 | "outputs": [
19 | {
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23 | ]
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28 | }
29 | ],
30 | "source": [
31 | "cartopy.__version__"
32 | ]
33 | },
34 | {
35 | "cell_type": "code",
36 | "execution_count": 3,
37 | "metadata": {},
38 | "outputs": [],
39 | "source": [
40 | "#ipdb.set_trace()\n",
41 | "osgb = ccrs.OSGB()"
42 | ]
43 | },
44 | {
45 | "cell_type": "code",
46 | "execution_count": 4,
47 | "metadata": {},
48 | "outputs": [
49 | {
50 | "name": "stderr",
51 | "output_type": "stream",
52 | "text": [
53 | "/home/jack/miniconda3/envs/sat_image_processing/lib/python3.7/site-packages/cartopy/mpl/ticker.py:476: MatplotlibDeprecationWarning: MaxNLocator.set_params got an unexpected parameter: dms\n",
54 | " MaxNLocator.set_params(self, **kwargs)\n"
55 | ]
56 | },
57 | {
58 | "data": {
59 | "text/html": [
60 | "\n",
61 | "\n",
63 | "\n",
64 | "\n",
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