Community Datasets added by users and made available for use at large

Google Earth Engine for R

Land Surface Temperature from Landsat on Google Earth Engine

Functions and Python scripts to ingest ERA5 data into Google Earth Engine

Short course on interactive analysis of Big Earth Data with Jupyter Notebooks

It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.

Supplementary Material to my Remote Sensing publication 'Sentinel-1-Imagery-Based High-Resolution Water Cover Detection on Wetlands, Aided by Google Earth Engine'

This implementation uses python to seamlessly integrate Sentinel-1 SAR image preparation in GEE with deep learning in Tensorflow for SAR image despeckling.

A fast way to download satellite images by defining the location from google-earth-engine

ee-cptcity is a module for Google Earth Engine where you can find multiple colour palettes of different themes related to cartography, technical illustration and design. Currently ee-cptcity module has more 300 of color palettes available for the users.

Tool for comparing International Soil Moisture Network (ISMN) sensor data with Sentinel-1 SAR backscatter from Google Earth Engine (GEE)

Prepare 30m resolution tree-height map for Nilgiri Bioshphere Reserve using Google Earth Engine. Uses GEDI, Landsat-8, ALOS-PALSAR, Sentinel-1 data products.

Utility to download Landsat imagery from AWS or Google Earth Engine servers

All the Google Earth Engine scripts I wrote and shared with the scientific community. Please like, share and subscribe to my youtube channel (https://www.youtube.com/channel/UCvH8JoH8zMLPjyT2S0T8s9g).

this codes of Google Earth Engine, were created and used, to map greenhouses in all mexican territory// estos codigos fueron creados y usados para mapear invernaderos en todo mexico

This repository aims to complement the poster shared at the 9th International Fire Ecology and Management Congress, hosted virtually from November 30 to December 3.

The comparison of Random Forest and Rule-based Landslide detection in Google Earth Engine Platform

Accompanying code for 2023 Remote Sensing of Environment paper, titled "Evaluating MODIS snow products using an extensive wildlife camera network"

The repository contains python based tools for different geospatial applications

Wetland change detection using Landsat time-series imagery