| pathways | days |
|---|---|
| C:\demo\dallas_aoi.json | 3 |
| C:\demo\denver_aoi.json | 5 |
| C:\demo\sfo_aoi.json | 14 |
| C:\demo\indy_aoi.json | 23 |
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| { | |
| "Total Size of catalog": "374.21 TB", | |
| "Total images in catalog": 1375423, | |
| "Total image collections in catalog": 494, | |
| "Total Feature collections in catalog": 1091 | |
| } |
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| { | |
| "description": "The [Awesome GEE Community Catalog](https://gee-community-catalog.org/) is a treasure trove of community-sourced geospatial datasets, lives alongside the official Google Earth Engine data catalog. This effort not only offers openly available, preprocessed research datasets but also caters to frequently requested ones under various open licenses.\n\nSee also:\n\n- [Github Repository for Project](https://github.com/samapriya/awesome-gee-community-datasets)\n- [Deep dive into our data blog](https://datacommons.substack.com)\n", | |
| "id": "GEE_catalog", | |
| "links": [ | |
| { | |
| "href": "https://storage.googleapis.com/earthengine-stac/catalog/catalog.json", | |
| "rel": "root", | |
| "type": "application/json" | |
| }, | |
| { |
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| { | |
| "metadata": { | |
| "idinfo": { | |
| "citation": { | |
| "citeinfo": { | |
| "origin": "U.S. Geological Survey", | |
| "pubdate": 2022, | |
| "title": "LCMAP Land Cover and Land Change", | |
| "geoform": "raster digital data", | |
| "pubinfo": { |
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| { | |
| "projects/sat-io/open-datasets/NWI/wetlands": [ | |
| "AK_Wetlands", | |
| "AL_Wetlands", | |
| "AR_Wetlands", | |
| "AZ_Wetlands", | |
| "CA_Wetlands", | |
| "CO_Wetlands", | |
| "CT_Wetlands", | |
| "DE_Wetlands", |
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| import argparse | |
| import requests | |
| import sys | |
| import os | |
| from pySmartDL import SmartDL | |
| from planet.api.auth import find_api_key | |
| """ | |
| requirements: | |
| pip install planet requests pySmartDL |
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| {"config": [{"field_name": "geometry", "config": {"type": "Polygon","coordinates":[[[-51.19628906249999,70.98119010476937],[-49.32861328125,70.98119010476937],[-49.32861328125,71.69819388079574],[-51.19628906249999,71.69819388079574],[-51.19628906249999,70.98119010476937]]]}, "type": "GeometryFilter"}, {"field_name": "gsd", "config": {"gte":1,"lte":9.99}, "type": "RangeFilter"}, {"field_name": "acquired", "config": {"gte":"2017-12-05T04:00:00.000Z","lte":"2019-07-18T03:59:59.999Z"}, "type": "DateRangeFilter"}, {"field_name": "cloud_cover", "config": {"gte":0,"lte":0.9}, "type": "RangeFilter"}], "type": "AndFilter"} |
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