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samapriya / catalog.json
Last active July 24, 2024 06:49
Catalog stats gist
{
"Total Size of catalog": "374.21 TB",
"Total images in catalog": 1375423,
"Total image collections in catalog": 494,
"Total Feature collections in catalog": 1091
}
@samapriya
samapriya / test-json.json
Last active April 25, 2024 19:26
Testing catalog json
{
"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"
},
{
@samapriya
samapriya / gist:d94812017546ced921f9882d4ac660c2
Created April 8, 2023 02:49
LCMAP_CU_1985_V13_LCPRI.json
{
"metadata": {
"idinfo": {
"citation": {
"citeinfo": {
"origin": "U.S. Geological Survey",
"pubdate": 2022,
"title": "LCMAP Land Cover and Land Change",
"geoform": "raster digital data",
"pubinfo": {
{
"projects/sat-io/open-datasets/NWI/wetlands": [
"AK_Wetlands",
"AL_Wetlands",
"AR_Wetlands",
"AZ_Wetlands",
"CA_Wetlands",
"CO_Wetlands",
"CT_Wetlands",
"DE_Wetlands",
@samapriya
samapriya / planet_bb_query_demo.py
Last active March 4, 2020 04:09 — forked from richpsharp/planet_bb_query_demo.py
Planet Bounding Box quad query demo for Sam
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
@samapriya
samapriya / ee-jupyter-setup.ipynb
Last active August 4, 2019 22:08
Setup for EarthEngine in Jupyter Notebook
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@samapriya
samapriya / aoi.json
Created January 19, 2019 03:17
Example Structured JSON
{"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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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