A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

A collection of 300+ Python examples for using Google Earth Engine in QGIS

Global shoreline mapping tool from satellite imagery

Google Earth Engine for R

A curated list of Google Earth Engine resources

scripts and snippets for Google Earth Engine

Touch Terrain

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

Example scripts originally derived from Prof. Dana Tomlin's handouts for his course on Geospatial Software Design. Shared with his permission.

A collection of 300+ examples for using Earth Engine and the geemap Python package

Planet and Google Earth Engine Pipeline Command Line Interface Tool

Basic script to order data on Google Earth Engine using Python API

Google Earth Engine Asset Manager with Addons

List of all datasets included in Google Earth Engine (generated from https://code.earthengine.google.com/datasets/)

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

Publication quality maps using Earth Engine and Cartopy

A Python package for mapping inundation dynamics using Google Earth Engine

Javascript Earth Engine Scripts

Script and data from: "A Gridded Dataset to Assess Electrification in Sub-Saharan Africa" by Giacomo Falchetta, Shonali Pachauri, Simon Parkinson, and Ed Byers

A collection of Earth Engine Apps created using geemap, voila, and heroku

Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.

Earth Engine Python Examples

Python scripts for deploying Earth Engine Apps to heroku

Unofficial Google Earth Engine Python Documentation

A Google Maps / Earth Engine interface for the JV's surface hydrology modeling products

JavaScript code to be implemented in Google Earth Engine(c) developed by H.A. Orengo to accompany the paper: Orengo, H.A.; Conesa, F.C.; Garcia-Molsosa, A.; Lobo, A.; Green, A.S.; Madella, M. and Petrie, C.A. 2020. 'Automated detection of archaeological mounds using machine learning classification of multi-sensor and multi-temporal satellite data' submitted to PNAS.

Hydro Engine is a service and a command-line tool to query input data for hydrological models

Atmospherically Corrected Time Series using Google Earth Engine. My fork has a coefficient calculating script.

Spatial Data Management