Google Earth Engine (GEE)

Summary: Notes on Google Earth Engine for remote sensing and geospatial analysis. Last updated: 2026-08-20

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2025

• Human degradation of tropical moist forests: Nature paper on quantifying human degradation of tropical forests using GEE with GEDI kernel analysis. GEE Code: https://zenodo.org/records/11235618 Related: Remote_Sensing. Keywords: GEE, deforestation, forest degradation, GEDI, tropical, lidar

• Precipitation Dataset Comparison in GEE: Paper evaluating multiple precipitation datasets available in GEE on a daily basis. Code Related: Climate. Keywords: GEE, precipitation, CHIRPS, rainfall, comparison, evaluation

2024

• Gap Filling and Savitzky-Golay Filtering for Landsat time series: GEE code for reconstructing Landsat time series by fusing MODIS and Landsat using gap-filling and Savitzky-Golay filtering. Related: Remote_Sensing, XArray. Keywords: GEE, Landsat, MODIS, time series, gap filling, Savitzky-Golay

• Atmospheric Correction Sentinel-2 and Landsat in GEE - SIAC: GEE implementation of SIAC atmospheric correction for Sentinel-2 and Landsat imagery. Related: Remote_Sensing, Python. Keywords: GEE, atmospheric correction, Sentinel-2, Landsat, Python

Earlier

• Soil Erosion RUSLE: SoilWatch approach using RUSLE in GEE to identify globally degrading soils. Code Related: Agriculture. Keywords: GEE, soil erosion, RUSLE, land degradation

• BIOPAR LAI/FAPAR in GEE: GEE code for computing Biophysical Parameters (LAI, FAPAR) from Sentinel-2 using BIOPAR. Related: Remote_Sensing. Keywords: GEE, Sentinel-2, LAI, FAPAR, biophysical, vegetation

• Dynamic Time Warping for Satellite Image Time Series Classification: SoilWatch guide on applying DTW for SITS classification in GEE. Related: XArray, Machine_Learning. Keywords: GEE, time series, DTW, dynamic time warping, classification, machine learning

• Topographic Correction in GEE: Tutorial on applying terrain/topographic correction to satellite imagery in Google Earth Engine. Related: Remote_Sensing. Keywords: GEE, topographic correction, terrain, DEM, satellite

• GEE Python App with Greppo: Tutorial on building geospatial web applications combining GEE and Greppo framework. Related: Python, Web_Mapping. Keywords: GEE, Python, Greppo, web app, geospatial

• OBIA Object-Based Classification in GEE: Paper on object-oriented LULC classification in GEE combining SNIC, GLCM, and machine learning. Code Related: Remote_Sensing, Machine_Learning. Keywords: GEE, OBIA, LULC, classification, SNIC, GLCM, machine learning

• GEE Course Mangrove: GEE course covering mangrove monitoring and mapping techniques. Related: Remote_Sensing. Keywords: GEE, mangrove, course, remote sensing

• Mangrove Monitoring in GEE: Google Earth blog post on mangrove extent and change monitoring using GEE. Related: Remote_Sensing. Keywords: GEE, mangrove, monitoring, land cover change

• GEE Sensor Fusion L8 S1 for Vegetation Monitoring: Paper on fusing Sentinel-1 SAR and Landsat 8 optical data to reconstruct cloudy vegetation indices. Related: Remote_Sensing, Data. Keywords: GEE, sensor fusion, Sentinel-1, Landsat, vegetation, SAR

• GEARS - Geospatial Ecology and Remote Sensing GEE Course: Comprehensive GEE course by Geospatial Ecology and Remote Sensing lab. Related: Remote_Sensing. Keywords: GEE, course, ecology, remote sensing, education

• CCDC Daniel Wiell Library: Continuous Change Detection and Classification (CCDC) temporal segmentation library for GEE. Related: Remote_Sensing, XArray. Keywords: GEE, CCDC, change detection, time series, temporal segmentation

• Half Ass High Pass Filter - Ship Detection: Ship detection method using Sentinel-2 band ratio high-pass filter in GEE. Related: Remote_Sensing. Keywords: GEE, Sentinel-2, ship detection, band ratio, SAR

• Explainable AI for GEE - Feature Importance: Paper on using explainable AI and feature importance with scikit-learn and GEE for remote sensing classification. Related: Machine_Learning, AI, Remote_Sensing. Keywords: GEE, explainable AI, feature importance, scikit-learn, machine learning

• GEE UP - CLI Tool: Command-line tool for uploading and managing assets in Google Earth Engine by Samapriya Roy. Related: Tools, Python. Keywords: GEE, CLI, asset management, Python

• Bias Correcting CHIRPS with Regression in GEE: Paper on improving CHIRPS monthly rainfall estimation using bias correction regression in GEE. Related: Deep_Learning. Keywords: GEE, CHIRPS, precipitation, bias correction, regression

• Global Drought Monitoring with DSI: Paper on global drought monitoring using the Drought Severity Index (DSI) in Google Earth Engine. Related: Climate. Keywords: GEE, drought, DSI, global monitoring, climate