GeoClimate - Fetcher: Free, Third-Party Google Earth Engine Data Crawler, Web App, and Python Repo

Free Web App & Python Package Repo: A free web app and Python package that lets anyone browse and download all Google Earth Engine (GEE) datasets (including precipitation, climate reanalysis, land cover, elevation (SRTM), vegetation indices, soil moisture, evapotranspiration, satellite imagery, and more) for any point or small area, over any available date range, without writing any Earth Engine code. Exports to CSV and GeoTIFF.

Included Tools

  • GeoData Explorer: Browse and download with an interactive map preview.
  • Climate Analytics: ETCCDI climate indices.
  • Hydrology Analyzer: Precipitation statistics.
  • Product Selector: Compare Meteostat station data against gridded products.
  • Data Visualizer: Interactive Plotly charts on downloaded data.

Data and Resources

Field Value
accessRights Non-commercial use only
appAccessMethod Visit https://geeclimate.streamlit.app/. Quick Access mode is selected by default — no account, login, or installation needed. Pick a tool (e.g. GeoData Explorer), choose a location, dataset, and date range, then export as CSV/GeoTIFF/NetCDF. For larger requests, switch to a free personal Google Earth Engine account (instant self-serve signup at earthengine.google.com) via the "Upload Credentials" option in the app's authentication panel.
appAudience Students, instructors, and researchers in hydrology, water resources engineering, climate science, and GIS who need point- or small-area-based access to Google Earth Engine datasets (precipitation, climate reanalysis, land cover, elevation, etc.) without writing Earth Engine code. Built for and used in CIV 465 (Advanced Water Resources Engineering, Jackson State University), but general-purpose.
appPrereqs None for Quick Access — just a web browser. A free Google account is only needed if you opt into personal Earth Engine authentication for larger/longer data requests.
appPurchaseMethod Free — no purchase or subscription required.
catalogTarget ckan
citation Saurav Bhattarai, Nawa Raj Pradhan, Rocky Talchabhadel,GeoClimate intelligence platform: A web-based framework for environmental data analysis,Environmental Modelling & Software,Volume 197,2026,106826,ISSN 1364-8152,https://doi.org/10.1016/j.envsoft.2025.106826.(https://www.sciencedirect.com/science/article/pii/S1364815225005109)Abstract: Environmental science education faces a critical barrier: programming requirements prevent students, novice researchers, and domain experts from accessing planetary-scale datasets. This study presents the GeoClimate Intelligence Platform, a web-based framework powered by Google Earth Engine (GEE) that eliminates programming barriers while maintaining research-grade analytical capabilities. The platform comprises five integrated modules: GeoData Explorer for climate dataset access, Climate Analytics implementing 20+ ETCCDI-compliant climate indices, Hydrology Analyzer for precipitation analysis and return periods, Product Selector for dataset validation, and Data Visualizer for interactive analysis. This modular design supports integrated workflows while maintaining analytical independence across specialized functions. Development was motivated by workshops where students found programming barriers insurmountable despite strong motivation. Educational validation through university coursework demonstrated effectiveness. Performance evaluation shows robust scalability from educational to research-scale applications. The platform requires only a GEE account and operates through web browsers, eliminating software installation. This accessibility transformation enables broader participation in data-driven environmental problem-solving with scientific rigor, democratizing sophisticated environmental analysis for educational and research communities.Keywords: Climate data analysis; Environmental education; Google Earth Engine; Web-based platform; Programming accessibility
cndp WSTC
dataAuthType public
funder This study was conducted for the Department of War under Project No. PE 622182CX3 and PE 633042CX7, Advanced Technology and Applied Technology, Hydrology Mapping.
lang en
lastUpdateDate 2026-08-04
license Creative Commons Attribution 4.0 International (CC BY 4.0)
ndp_creator_md5 5c741e8d14da55ab7e3421917a4e0de4
pocEmail J01013381@students.jsums.edu
pocName Saurav Bhattarai
publisherType individual
status submitted
uploadType application
Tags
  • ETCCDI
  • SRTM
  • climate
  • climate-reanalysis
  • elevation
  • evapotranspiration
  • google-earth-engine
  • gridded-data
  • gridded-products
  • hydrology
  • land-cover
  • meteostat
  • meteostat-station
  • precipitation
  • precipitation-statistics
  • satellite
  • satellite-imagery
  • satellite-remote-sensing
  • soil-moisture
  • streamlit
  • vegetation
  • vegetation-indices
isopen False
metadata_created 2026-10-30T16:38:25.965465
metadata_modified 2026-10-30T16:38:25.965469
notes <p><b><a href="https://github.com/SauravBhattarai19/GeoClimate-Fetcher">Free Web App &amp; Python Package Repo:</a></b> A free web app and Python package that lets anyone browse and download all Google Earth Engine (GEE) datasets (including precipitation, climate reanalysis, land cover, elevation (SRTM), vegetation indices, soil moisture, evapotranspiration, satellite imagery, and more) for any point or small area, over any available date range, <b>without writing any Earth Engine code</b>. Exports to <b>CSV and GeoTIFF</b>.</p> <h3>Included Tools</h3> <ul> <li><b>GeoData Explorer:</b> Browse and download with an interactive map preview.</li> <li><b>Climate Analytics:</b> ETCCDI climate indices.</li> <li><b>Hydrology Analyzer:</b> Precipitation statistics.</li> <li><b>Product Selector:</b> Compare Meteostat station data against gridded products.</li> <li><b>Data Visualizer:</b> Interactive Plotly charts on downloaded data.</li> </ul>
num_resources 2
num_tags 22
title GeoClimate - Fetcher: Free, Third-Party Google Earth Engine Data Crawler, Web App, and Python Repo