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@alexgleith
Created June 26, 2021 04:40
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Find all the possible ESRI Land Cover scene and put them in a big list.
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{
"metadata": {
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.5"
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"orig_nbformat": 4,
"kernelspec": {
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"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# https://soilspackage-useast.s3.amazonaws.com/EsriLandCover/25C_20200101-20210101.tif\n",
"\n",
"# https://soilspackage-useast.s3.amazonaws.com/EsriLandCover/56X_20200101-20210101.tif\n",
"# https://soilspackage-useast.s3.amazonaws.com/EsriLandCover/25S_20200101-20210101.tif\n",
"# https://soilspackage-useast.s3.amazonaws.com/EsriLandCover/20S_20200101-20210101.tif\n",
"# https://soilspackage-useast.s3.amazonaws.com/EsriLandCover/14Q_20200101-20210101.tif\n",
"\n",
"# C-X\n",
"# 01-60"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"import requests\n",
"import string\n",
"import concurrent.futures\n"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"base_url = \"https://soilspackage-useast.s3.amazonaws.com/EsriLandCover/{id}_20200101-20210101.tif\"\n",
"\n",
"def uri_exists_stream(id: str) -> bool:\n",
" uri = base_url.format(id=id)\n",
" try:\n",
" with requests.get(uri, stream=True) as response:\n",
" try:\n",
" response.raise_for_status()\n",
" return uri\n",
" except requests.exceptions.HTTPError:\n",
" return None\n",
" except requests.exceptions.ConnectionError:\n",
" return False\n",
"\n",
"rows = list(string.ascii_uppercase)\n",
"cols = range(1,61)\n",
"\n",
"ids = [f\"{col:02}{row}\" for col in cols for row in rows]\n",
"\n",
"with concurrent.futures.ThreadPoolExecutor(max_workers=100) as executor:\n",
" results = executor.map(uri_exists_stream, ids)\n",
"\n",
"all_results = [r for r in results if r is not None]"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"with open('tiles-list.txt', 'w') as f:\n",
" f.writelines('\\n'.join(all_results) + '\\n')"
]
}
]
}
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