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https://github.com/opengeos/Awesome-GEE

A curated list of Google Earth Engine resources
https://github.com/opengeos/Awesome-GEE

List: Awesome-GEE

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A curated list of Google Earth Engine resources

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README 

        
# Awesome Earth Engine [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)



> A curated list of Google Earth Engine resources. Please visit the [Awesome-GEE](https://github.com/giswqs/Awesome-GEE) GitHub repo if you want to contribute to this project.



## Table of Contents



- [Earth Engine official websites](#earth-engine-official-websites)

- [Get Started](#get-started)

- [Get Help](#get-help)

- [JavaScript API](#javascript-api)

- [Python API](#python-api)

- [R](#r)

- [QGIS](#qgis)

- [GitHub Developers](#github-developers)

- [Twitter](#twitter)

- [Apps](#apps)

- [Free Courses](#free-courses)

- [Presentations](#presentations)

- [Videos](#videos)

- [Projects](#projects)

- [Websites](#websites)

- [Datasets](#datasets)

- [Papers](#papers)

- [Contributing](#contributing)

- [License](#license)



## Earth Engine official websites



- [Official homepage](https://earthengine.google.com/)

- [JavaScript Code Editor](https://code.earthengine.google.com/)

- [API Documentation](https://developers.google.com/earth-engine/)

- [Data Catalog](https://developers.google.com/earth-engine/datasets/)

- [Timelapse](https://earthengine.google.com/timelapse/)

- [Earth Engine Apps](https://www.earthengine.app/)

- [Blog](https://medium.com/google-earth)

- [Sign up](https://earthengine.google.com/signup/)

- [Developer Forum](https://developers.google.com/earth-engine)

- [Issue Tracker](https://issuetracker.google.com/issues?q=componentid:184426&p=1)

- [Earth Engine API on GitHub](https://github.com/google/earthengine-api)

- [Google Earth Engine Community Tutorials](https://github.com/google/earthengine-community)

- [Google Earth Engine Community Developer Resources](https://developers.google.com/earth-engine/tutorials/community/developer-resources)



## Get Started



1. [Sign up](https://earthengine.google.com/signup/) for an Earth Engine account.

2. Read the Earth Engine API documentation - [Get Started with Earth Engine](https://developers.google.com/earth-engine/getstarted).

3. Read another Earth Engine API documentation - [Client vs. Server](https://developers.google.com/earth-engine/client_server). Make sure you have a good understanding of client-side objects vs server-side objects.

4. Try out the [JavaScript API](https://code.earthengine.google.com/) or Python API (e.g., [geemap](https://github.com/giswqs/geemap)).

5. Read [Coding Best Practices](https://developers.google.com/earth-engine/best_practices).



## Get Help



- [Earth Engine Developer Forum](https://groups.google.com/forum/#!forum/google-earth-engine-developers)

- [GIS Stack Exchange](https://gis.stackexchange.com/questions/tagged/google-earth-engine)

- [Report a bug](https://issuetracker.google.com/issues?q=componentid:184406&type:bug)

- [Dataset requests](https://issuetracker.google.com/issues?q=componentid:184426%2B%20status:open)

- [Feature requests](https://issuetracker.google.com/issues?q=componentid:184406%20type:feature_request%20status:open)

- [Slack channel for geemap and Earth Engine](https://gishub.org/geemap-slack)



## JavaScript API



### Playground



- [JavaScript Code Editor](https://code.earthengine.google.com/) - The official Google Earth Engine JavaScript Code Editor.



### Repositories



- [jdbcode/Snazzy-EE-TS-GIF](https://github.com/jdbcode/Snazzy-EE-TS-GIF) - Apps for creating Landsat time series animations.

- [fitoprincipe/geetools-code-editor](https://github.com/fitoprincipe/geetools-code-editor) - A set of tools to use in Google Earth Engine JavaScript Code Editor.

- [Fernerkundung/EarthEngine_scripts](https://github.com/Fernerkundung/EarthEngine_scripts) - Scripts and snippets for Google Earth Engine.

- [Google Earth Engine Toolbox (GEET)](https://github.com/sacridini/GEET) - Library to write small EE apps or big/complex apps with a lot less code.

- [LandTrendr](https://code.earthengine.google.com/?accept_repo=users/emaprlab/public) - Spectral-temporal segmentation algorithm.

- [zecojls/tagee](https://github.com/zecojls/tagee) - Terrain Analysis in Google Earth Engine (TAGEE).

- [ee-palettes](https://github.com/gee-community/ee-palettes) - A module for generating color palettes in Earth Engine to be applied to mapped data.

- [gee-ccdc-tools](https://gee-ccdc-tools.readthedocs.io/en/latest) - A suite of tools designed for continuous land change monitoring in Google Earth Engine.

- [Continuous Degradation Detection (CODED)](https://coded.readthedocs.io/en/latest/) - A system for monitoring forest degradation and deforestation.

- [LT-GEE](https://emapr.github.io/LT-GEE) - Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm.

- [spectral](https://github.com/awesome-spectral-indices/spectral) - Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).

- [msslib](https://github.com/gee-community/msslib) - An Earth Engine JavaScript library for working with Landsat MSS image data.

- [geeSharp](https://github.com/aazuspan/geeSharp) - Pan-sharpening in the Earth Engine Code Editor.

- [snazzy](https://github.com/aazuspan/snazzy) - Custom basemap styles in the Earth Engine Code Editor.

- [ee-polyfill](https://github.com/aazuspan/ee-polyfill) - Modern Javascript methods (ES6+) for the Earth Engine Code Editor.

- [gee-blend](https://github.com/jessjaco/gee-blend) - Various blending functions for Google Earth Engine.

- [OpenEarthEngineLibrary](https://www.open-geocomputing.org/OpenEarthEngineLibrary/) - Collection of code goodies for Google Earth Engine (GEE).



### Tutorials



- [Introduction to Google Earth Engine](https://www.google.com/earth/outreach/learn/introduction-to-google-earth-engine/)

- [Introduction to JavaScript for Earth Engine](https://developers.google.com/earth-engine/tutorial_js_01)

- [Introduction to the Earth Engine JavaScript API](https://developers.google.com/earth-engine/tutorial_api_01)

- [Global Forest Change Analysis](https://developers.google.com/earth-engine/tutorial_forest_01)

- [Global Surface Water Change Analysis](https://developers.google.com/earth-engine/tutorial_global_surface_water_01)

- [Beginner's Cookbook](https://developers.google.com/earth-engine/tutorials/community/beginners-cookbook)

- [Combining FeatureCollections](https://developers.google.com/earth-engine/tutorials/community/combining-feature-collections)

- [Customizing Base Map Styles](https://developers.google.com/earth-engine/tutorials/community/customizing-base-map-styles)

- [Forest Cover and Loss Estimation](https://developers.google.com/earth-engine/tutorials/community/forest-cover-loss-estimation)

- [Getting Started with Drawing Tools](https://developers.google.com/earth-engine/tutorials/community/drawing-tools)

- [Identifying Annual First Day of No Snow Cover](https://developers.google.com/earth-engine/tutorials/community/identifying-first-day-no-snow)

- [Interactive Region Reduction App](https://developers.google.com/earth-engine/tutorials/community/drawing-tools-region-reduction)

- [Land Surface Temperature in Uganda](https://developers.google.com/earth-engine/tutorials/community/ph-ug-temp)

- [Landsat ETM+ to OLI Harmonization](https://developers.google.com/earth-engine/tutorials/community/landsat-etm-to-oli-harmonization)

- [MODIS NDVI Times Series Animation](https://developers.google.com/earth-engine/tutorials/community/modis-ndvi-time-series-animation)

- [Non-parametric trend analysis](https://developers.google.com/earth-engine/tutorials/community/nonparametric-trends)

- [GEE 开发 on 知乎 by 无形的风](https://zhuanlan.zhihu.com/c_123993183)

- [Calculating Area in Google Earth Engine](https://spatialthoughts.com/2020/06/19/calculating-area-gee/)

- [Extracting Time Series using Google Earth Engine](https://spatialthoughts.com/2020/04/13/extracting-time-series-ee/)

- [Histogram Matching in Google Earth Engine](https://spatialthoughts.com/2020/07/14/histogram-matching-gee/)

- [Getting Git Right on Google Earth Engine](https://medium.com/@samapriyaroy/getting-git-right-on-google-earth-engine-e853f6551889)

- [AmericaView - Google Earth Engine (GEE) tutorials](https://americaview.org/program-areas/education/google-earth-engine-tutorials/)

- [Earth Lab - Introduction to the Google Earth Engine code editor](https://www.earthdatascience.org/tutorials/intro-google-earth-engine-ide/)

- [Coding Club - Intro to the Google Earth Engine](https://ourcodingclub.github.io/tutorials/earth-engine/)

- [Global Snow Observatory - Google Earth Engine Tutorials](https://sites.google.com/site/globalsnowobservatory/home/Presentations-and-Tutorials)

- [GEARS - Getting started with Google Earth Engine](https://www.geospatialecology.com/intro_rs_lab1/)

- [An Introduction to Remote Sensing for Ecologists Using Google Earth Engine](https://ecology.colostate.edu/google-earth-engine/)

- [An introduction to Google Earth Engine](https://www.paulamoraga.com/tutorial-gee/)



### Books



- [Cloud-Based Remote Sensing with Google Earth Engine](https://www.eefabook.org/)



## Python API



### Installation



- [Earth Engine Python API installation](https://developers.google.com/earth-engine/python_install)



### Packages



- [earthengine-api](https://pypi.org/project/earthengine-api/) - The official Google Earth Engine Python API.

- [geemap](https://github.com/giswqs/geemap) - A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

- [geeadd](https://github.com/samapriya/gee_asset_manager_addon) - Google Earth Engine Batch Asset Manager with Addons.

- [geeup](https://github.com/samapriya/geeup) - Simple CLI for Google Earth Engine Uploads.

- [cartoee](https://github.com/KMarkert/cartoee) - Publication quality maps using Earth Engine and Cartopy.

- [gee_tools](https://github.com/gee-community/gee_tools) - A set of tools for working with Google Earth Engine Python API.

- [landsat-extract-gee](https://github.com/loicdtx/landsat-extract-gee) - Get Landsat surface reflectance time-series from google earth engine.

- [Ndvi2Gif](https://github.com/Digdgeo/Ndvi2Gif) - Creating seasonal NDVI compositions GIFs.

- [eemont](https://github.com/davemlz/eemont) - A Python package that extends the Google Earth Engine Python API with pre-processing and processing tools.

- [hydra-floods](https://github.com/Servir-Mekong/hydra-floods) - An open source Python application for downloading, processing, and delivering surface water maps derived from remote sensing data.

- [RadGEEToolbox](https://github.com/radwinskis/RadGEEToolbox) - Python package simplifying large-scale operations using Google Earth Engine (GEE) Python API for users who utilize Landsat (5, 8, & 9) and Sentinel 1 & 2 data.

- [restee](https://github.com/KMarkert/restee) - A package that aims to make plugging Earth Engine computations into downstream Python processing easier.

- [wxee](https://github.com/aazuspan/wxee) - A Python interface between Earth Engine and xarray for processing weather and climate data.

- [taskee](https://github.com/aazuspan/taskee) - Monitor your Earth Engine tasks and get notifications on your phone or computer.

- [geedim](https://github.com/dugalh/geedim) - Search, composite, and download Earth Engine imagery, without size limits.



### Repositories



- [earthengine-py-notebooks](https://github.com/giswqs/earthengine-py-notebooks) - A collection of 360+ Jupyter notebook examples for using Google Earth Engine with interactive mapping.

- [earthengine-py-examples](https://github.com/giswqs/earthengine-py-examples) - A collection of 300+ examples for using Earth Engine and the geemap Python package.

- [ee-tensorflow-notebooks](https://github.com/gee-community/ee-tensorflow-notebooks) - Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.

- [CoastSat](https://github.com/kvos/CoastSat) - Global shoreline mapping tool from satellite imagery.

- [Google-Earth-Engine-Python-Examples](https://github.com/renelikestacos/Google-Earth-Engine-Python-Examples)

- [csaybar/EEwPython](https://github.com/csaybar/EEwPython)



### Tutorials



- [geemap and Earth Engine Python API tutorials](https://github.com/giswqs/geemap/tree/master/examples)

- [A Quick Introduction to Google Earth Engine](https://towardsdatascience.com/a-quick-introduction-to-google-earth-engine-c6a608c5febe)

- [Google Earth Engine (GEE) and Image Analysis](https://climada-python.readthedocs.io/en/stable/tutorial/climada_util_earth_engine.html)

- [Earth Engine Python API Colab Setup](https://colab.sandbox.google.com/github/google/earthengine-api/blob/master/python/examples/ipynb/ee-api-colab-setup.ipynb)

- [Earth Engine TensorFlow demonstration notebook](https://colab.sandbox.google.com/github/google/earthengine-api/blob/master/python/examples/ipynb/TF_demo1_keras.ipynb)

- [Earth Lab - Calculating the area of polygons in Google Earth Engine](https://www.earthdatascience.org/tutorials/basic-polygon-operations-google-earth-engine/)

- [Semantic Segmentation of GEE High Resolution Imagery](https://gist.github.com/mortcanty/ac4c48e3d10e89676b7fe9b3a6f1ba3a)



### Books



- [Geospatial Data Science with Earth Engine and Geemap](https://book.geemap.org/)



## R



### Packages



- [rgee](https://github.com/r-spatial/rgee) - An R package for using Google Earth Engine.

- [earthEngineGrabR](https://github.com/JesJehle/earthEngineGrabR) - Simplify the acquisition of remote sensing data.



### Repositories



- [rgee-examples](https://csaybar.github.io/rgee-examples/) - A collection of 250+ examples for using Google Earth Engine with R.



### Tutorials



- [rgee tutorial #1: Creating global land surface temperature maps](https://csaybar.github.io/blog/2020/06/10/rgee_01_worldmap/)

- [rgee tutorial #2: Satellite image processing](https://csaybar.github.io/blog/2020/06/15/rgee_02_io/)



## QGIS



### Packages



- Earth Engine QGIS Plugin ([Website](https://gee-community.github.io/qgis-earthengine-plugin/), [GitHub](https://github.com/gee-community/qgis-earthengine-plugin)) - Integrates Google Earth Engine and QGIS using Python API.



### Repositories



- [qgis-earthengine-examples](https://github.com/giswqs/qgis-earthengine-examples) - A collection of 300+ Python examples for using Google Earth Engine in QGIS.



### Tutorials



- [Creating Maps with Google Earth Engine](https://spatialthoughts.com/2020/04/04/ndvi-time-series-gee-qgis/)



## GitHub Developers



### Community



- [earthengine-api](https://github.com/google/earthengine-api)

- [Google Earth Engine Community](https://github.com/gee-community)

- [Google Earth Engine Community Tutorials](https://github.com/google/earthengine-community)



### Individuals



- [Cesar Aybar](https://github.com/csaybar)

- [Justin Braaten](https://github.com/jdbcode)

- [Tirthankar "TC" Chakraborty](https://github.com/TC25)

- [Diego Garcia Diaz](https://twitter.com/mopayyo)

- [Gennadii Donchyts](https://github.com/gena)

- [Ujaval Gandhi](https://github.com/spatialthoughts)

- [Philipp Gärtner](https://github.com/philippgaertner)

- [Eduardo Lacerda](https://github.com/sacridini)

- [Kel Markert](https://github.com/KMarkert)

- [Mort Canty](https://gist.github.com/mortcanty)

- [Keiko Nomura](https://github.com/nkeikon)

- [Rodrigo E. Principe](https://github.com/fitoprincipe)

- [Mark Radwin](https://github.com/radwinskis)

- [Samapriya Roy](https://github.com/samapriya)

- [Sabrina Szeto](https://github.com/sabrinaszeto)

- [Qiusheng Wu](https://github.com/giswqs)



## Twitter



### Bots



- [Earth Engine Bot](https://twitter.com/EarthEngineBot)

- [Geospatial Python](https://twitter.com/geospatial_py)

- [Synthetic Aperture Random](https://twitter.com/ApertureRandom)



### Google affiliated



- [Google Earth](https://twitter.com/googleearth)

- [Google Earth Outreach](https://twitter.com/googleearth)

- [Tyler Erickson](https://twitter.com/tylerickson)

- [Rebecca Moore](https://twitter.com/rebeccatmoore)

- [Kurt Schwehr](https://twitter.com/kurtschwehr)



### Individuals



- [Cesar Aybar](https://twitter.com/csaybar)

- [Justin Braaten](https://twitter.com/jstnbraaten)

- [Tirthankar "TC" Chakraborty](https://twitter.com/Chalkemort)

- [Morgan Crowley](https://twitter.com/morganahcrowley)

- [Diego Garcia Diaz](https://github.com/Digdgeo)

- [Gennadii Donchyts](https://twitter.com/gena_d)

- [Ujaval Gandhi](https://twitter.com/spatialthoughts)

- [Philipp Gärtner](https://twitter.com/gartn001)

- [Belize GEO](https://twitter.com/BZgeo)

- [Mort Canty](https://twitter.com/mort_canty)

- [Kel Markert](https://twitter.com/KelMarkert)

- [Keiko Nomura](https://twitter.com/Keiko_geo)

- [Samapriya Roy](https://twitter.com/samapriyaroy)

- [Sabrina Szeto](https://twitter.com/SabrinaSzeto)

- [Dave Thau](https://twitter.com/davethau)

- [Qiusheng Wu](https://twitter.com/giswqs)

- [Iain H Woodhouse](https://twitter.com/fortiain)



## Apps



- [Earth Engine Apps](https://www.earthengine.app/) - Google

- [An image gallery of almost all publicly available Google Earth Engine Apps](https://philippgaertner.github.io/2020/03/ee-apps/) - Philipp Gärtner

- [A searchable list of all publicly available Google Earth Engine Apps](https://datawrapper.dwcdn.net/4cHkZ/1/)

- [Earth Engine App Filter](https://philippgaertner-ee-appshot-streamlit-filte-streamlit-app-j29b7u.streamlit.app/) by Philipp Gärtner



## Free Courses



- [End-to-End Google Earth Engine](https://courses.spatialthoughts.com/end-to-end-gee.html) - by [Ujaval Gandhi](https://twitter.com/spatialthoughts)

- [Spatial Data Management with Earth Engine](https://www.youtube.com/playlist?list=PLAxJ4-o7ZoPdz9LHIJIxHlZe3t-MRCn61) - by [Qiusheng Wu](https://twitter.com/giswqs)

- [Professor Iain Woodhouse’s guide to GEE resources and courses](https://www.earthblox.io/blog/google-earth-engine-training-2022)



## Presentations



### geemap



- [Using the geemap Python package for interactive mapping with Earth Engine](https://www.researchgate.net/publication/341326008_Using_the_geemap_Python_package_for_interactive_mapping_with_Earth_Engine) - Earth Engine Virtual Meetup on May 8, 2020

- [Cloud computing and interactive mapping with Earth Engine and open-source GIS](https://www.researchgate.net/publication/341722639_Cloud_computing_and_interactive_mapping_with_Earth_Engine_and_open-source_GIS) - GeoInsider webinar on May 28, 2020

- [Mapping Wetland Inundation Dynamics using Google Earth Engine](https://www.researchgate.net/publication/342064888_Mapping_Wetland_Inundation_Dynamics_using_Google_Earth_Engine) - Machine learning and data fusion workshop on June 10, 2020



### General



- [SERVIR Global - Introduction to Google Earth Engine](https://servirglobal.net/Portals/0/Documents/Articles/ChangeDetectionTraining/Module2_Intro_Google_Earth_Engine_presentation.pdf)



## Videos



### Google



- [Geo For Good 2019 on YouTube](https://www.youtube.com/playlist?list=PLLW-qoCMKQsxxXRmzxEJQhUrdX0kekHhV)

- [Earth Engine Video Tutorials](https://developers.google.com/earth-engine/tutorials#video-tutorials)



### General



- Getting Started with Earth Engine with Sabrina Szeto ([video](https://t.co/AQfGXvGksp?amp=1) - [slides](https://t.co/PM4Rqc604X?amp=1))

- Earth Engine Virtual Meetup on May 6, 2020 ([video](https://t.co/6WdQd7m9ZS?amp=1))



### geemap



- [geemap tutorials on YouTube](https://www.youtube.com/playlist?list=PLAxJ4-o7ZoPccOFv1dCwvGI6TYnirRTg3)

- [geemap tutorials on 哔哩哔哩](https://space.bilibili.com/527404442/channel/detail?cid=132674)

- [geemap tutorials on 西瓜视频](https://www.ixigua.com/home/676923482842317/)

- GeoInsider webinar - Cloud computing and interactive mapping with Earth Engine and open-source GIS ([video](https://www.bilibili.com/video/BV1Ep4y1X7tJ) - [slides](https://gishub.org/geoinsider))

- GeoInsider webinar 2 - Using Google Earth Engine for large-scale geospatial analysis: A case study of automated surface water mapping ([video](https://www.bilibili.com/video/BV15z411v7XE) | [slides](https://docs.google.com/presentation/d/1gkT93KCHNdQmL662FdjMjv1QD8fU2DMl0rIxxFSPEFE))



## Projects



- [Google Earth Engine](https://www.researchgate.net/project/Google-Earth-Engine-4) on Research Gate



## Websites



- [Global Surface Water Explorer](http://global-surface-water.appspot.com/)

- [Global Forest Cover Change](http://earthenginepartners.appspot.com/science-2013-global-forest)

- [Global Forest Watch](https://www.globalforestwatch.org/)

- [Map Of Life](http://species.mol.org/species/map/Perdix_dauurica)

- [Climate Engine](https://clim-engine.appspot.com/climateEngine)

- [Surface Water Mapping Tool](http://surface-water-servir.adpc.net/)

- [Surface water changes (1985-2016)](https://aqua-monitor.appspot.com/)

- [Decision Support Tools](https://servir.adpc.net/tools)

- [Earth Map](https://earthmap.org)

- [CoastSat shoreline change database](http://coastsat.wrl.unsw.edu.au/)



## Datasets



### Community Datasets



- [awesome-gee-community-datasets](https://github.com/samapriya/awesome-gee-community-datasets)



### Landsat

- [Landsat 9 Surface Reflectance](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_L2)

- [Landsat 9 TOA Reflectance](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC09_C02_T1_TOA)

- [Landsat 8 Surface Reflectance](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_SR)

- [Landsat 8 TOA Reflectance](https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1_TOA)



### Sentinel



- [Sentinel-1 SAR GRD](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S1_GRD)

- [Sentinel-2 MSI Surface Reflectance](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED)

- [Sentinel-2 MSI TOA Reflectance](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_HARMONIZED)



### NAIP



- [NAIP: National Agriculture Imagery Program](https://developers.google.com/earth-engine/datasets/catalog/USDA_NAIP_DOQQ)



### Land Cover



- [NLCD: USGS National Land Cover Database](https://developers.google.com/earth-engine/datasets/catalog/USGS_NLCD)



## Papers



### Highlights



- Aybar, C., Wu, Q., Bautista, L., Yali, R., & Barja, A. (2020). rgee: An R package for interacting with Google Earth Engine. _The Journal of Open Source Software_. 5(51), 2272. https://doi.org/10.21105/joss.02272

- Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., Moore, R., 2017. Google Earth Engine: Planetary-scale geospatial analysis for everyone. _Remote Sens. Environ_. 202, 18–27. 

- Wu, Q. (2020). geemap: A Python package for interactive mapping with Google Earth Engine. _The Journal of Open Source Software_. 5(51), 2305. https://doi.org/10.21105/joss.02305



### Journal Special Issues



- _Journal of Remote Sensing_, Remote Sensing for Environmental and Societal Changes Using Google Earth Engine ([Call for Papers](https://spj.sciencemag.org/journal-of-remote-sensing-special-issues/gee/))

- _IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing_, Cloud Computing in Google Earth Engine for Remote Sensing ([Call for Papers](https://www.grss-ieee.org/wp-content/uploads/2019/12/Call_for_Paper_GEE.pdf))

- _Remote Sensing_, Google Earth Engine and Cloud Computing Platforms: Methods and Applications in Big Geo Data Science ([Call for Papers](https://www.mdpi.com/journal/remotesensing/special_issues/GEE_Methods_Applications), [Published Papers](https://www.mdpi.com/journal/remotesensing/special_issues/GEE_Methods_Applications))

- _Remote Sensning_, Google Earth Engine Applications ([Call for Papers](https://www.mdpi.com/journal/remotesensing/special_issues/GEE), [Published Papers](https://www.mdpi.com/journal/remotesensing/special_issues/GEE))

- _Remote Sensing of Environment_, Remote Sensing of Land Change Science with Google Earth Engine ([Call for Papers](https://www.journals.elsevier.com/remote-sensing-of-environment/call-for-papers/-special-issue-remote-sensing-of-land-change-science-with-go), [Published Papers](https://www.sciencedirect.com/journal/remote-sensing-of-environment/special-issue/104TX08KZZW))



### Review



- Amani, M., Ghorbanian, A., Ahmadi, A., Kakooei, M., ..., Wu, Q., & Brisco, B. (2020). Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review. _IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing_. 

- Boothroyd, R., Williams, R., Hoey, T., Barrett, B., & Prasojo, O. (2020). Applications of Google Earth Engine in fluvial geomorphology for detecting river channel change. _WIREs Water_. 

- Kumar, L., Mutanga, O., 2018. Google Earth Engine Applications Since Inception: Usage, Trends, and Potential. _Remote Sensing_ 10, 1509. 

- Tamiminia, H., Salehi, B., Mahdianpari, M., Quackenbush, L., Adeli, S., Brisco, B., 2020. Google Earth Engine for geo-big data applications: A meta-analysis and systematic review. _ISPRS J. Photogramm. Remote Sens._ 164, 152–170. 

- Wang, L., Diao, C., Xian, G., Yin, D., Lu, Y., Zou, S., & Erickson, T. A. (2020). A summary of the special issue on remote sensing of land change science with Google earth engine. _Remote Sensing of Environment_. 

- Yang, L., Driscol, J., Sarigai, S., Wu, Q., Chen, H., & Lippitt, C. D. (2022). Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review. _Remote Sensing_, 14(14), 3253. 

- Yang, L., Driscol, J., Sarigai, S., Wu, Q., Lippitt, C. D., & Morgan, M. (2022). Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing. _Sensors_, 22(6), 2416. 



### Hydrology



- Donchyts, G., Baart, F., Winsemius, H., Gorelick, N., Kwadijk, J., van de Giesen, N., 2016. Earth’s surface water change over the past 30 years. _Nat. Clim. Chang_. 6, 810. 

- Pekel, J.-F., Cottam, A., Gorelick, N., Belward, A.S., 2016. High-resolution mapping of global surface water and its long-term changes. _Nature_ 540, 418–422. 

- Radwin, M., & Bowen, B. (2024). Evolution of Great Salt Lake’s Exposed Lakebed (1984-2023): Variations in Sediment Composition, Water, and Vegetation from Landsat OLI and Sentinel MSI Satellite Reflectance Data. Geosites, 51, 1–23. 

- Wu, Q., Lane, C.R., Li, X., Zhao, K., Zhou, Y., Clinton, N., DeVries, B., Golden, H.E., Lang, M.W., 2019. Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine. _Remote Sens. Environ_. 228, 1–13. 

- Yamazaki, D., Trigg, M.A., 2016. Hydrology: The dynamics of Earth’s surface water. _Nature_. 



### Urban



- Li, X., Zhou, Y., Zhu, Z., Cao, W., 2020. A national dataset of 30 m annual urban extent dynamics (1985–2015) in the conterminous United States. _Earth System Science Data_ 12, 357. 

- Liu, X., Hu, G., Chen, Y., Li, X., Xu, X., Li, S., Pei, F., Wang, S., 2018. High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform. _Remote Sens. Environ_. 209, 227–239. 

- Liu, X., Huang, Y., Xu, X., Li, X., Li, X., Ciais, P., Lin, P., Gong, K., Ziegler, A.D., Chen, A., Gong, P., Chen, J., Hu, G., Chen, Y., Wang, S., Wu, Q., Huang, K., Estes, L., Zeng, Z., 2020. High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015. _Nature Sustainability_ 1–7. 

- Patel, N.N., Angiuli, E., Gamba, P., Gaughan, A., Lisini, G., Stevens, F.R., Tatem, A.J., Trianni, G., 2015. Multitemporal settlement and population mapping from Landsat using Google Earth Engine. _Int. J. Appl. Earth Obs. Geoinf_. 35, 199–208. 

- Weiss, D.J., Nelson, A., Gibson, H.S., Temperley, W., Peedell, S., Lieber, A., Hancher, M., Poyart, E., Belchior, S., Fullman, N., Mappin, B., Dalrymple, U., Rozier, J., Lucas, T.C.D., Howes, R.E., Tusting, L.S., Kang, S.Y., Cameron, E., Bisanzio, D., Battle, K.E., Bhatt, S., Gething, P.W., 2018. A global map of travel time to cities to assess inequalities in accessibility in 2015. _Nature_ 553, 333–336. 



### Vegetation



- Li, X., Zhou, Y., Meng, L., Asrar, G.R., Lu, C., Wu, Q., 2019. A dataset of 30 m annual vegetation phenology indicators (1985–2015) in urban areas of the conterminous United States. _Earth System Science Data_. 11(2), 881-894. 

- Robinson, N.P., Allred, B.W., Jones, M.O., Moreno, A., Kimball, J.S., Naugle, D.E., Erickson, T.A., Richardson, A.D., 2017. A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI) Product for the Conterminous United States. _Remote Sensing_ 9, 863. 

- Xie, Z., Phinn, S.R., Game, E.T., Pannell, D.J., Hobbs, R.J., Briggs, P.R., McDonald-Madden, E., 2019. Using Landsat observations (1988–2017) and Google Earth Engine to detect vegetation cover changes in rangelands - A first step towards identifying degraded lands for conservation. _Remote Sens. Environ_. 232, 111317. 



### Agriculture



- Dong, J., Xiao, X., Menarguez, M.A., Zhang, G., Qin, Y., Thau, D., Biradar, C., Moore, B., 3rd, 2016. Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine. _Remote Sens. Environ_. 185, 142–154. 

- Xiong, J., Thenkabail, P.S., Gumma, M.K., Teluguntla, P., Poehnelt, J., Congalton, R.G., Yadav, K., Thau, D., 2017. Automated cropland mapping of continental Africa using Google Earth Engine cloud computing. _ISPRS J. Photogramm. Remote Sens_. 126, 225–244. 

- Xiong, J., Thenkabail, P.S., Tilton, J.C., Gumma, M.K., Teluguntla, P., Oliphant, A., Congalton, R.G., Yadav, K., Gorelick, N., 2017. Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine. _Remote Sensing_ 9, 1065. 



### Wetlands



- Amani, M., Mahdavi, S., Afshar, M., Brisco, B., Huang, W., Mohammad Javad Mirzadeh, S., White, L., Banks, S., Montgomery, J., Hopkinson, C., 2019. Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results. _Remote Sensing_ 11, 842. 

- Chen, B., Xiao, X., Li, X., Pan, L., Doughty, R., Ma, J., Dong, J., Qin, Y., Zhao, B., Wu, Z., Sun, R., Lan, G., Xie, G., Clinton, N., Giri, C., 2017. A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform. _ISPRS J. Photogramm. Remote Sens_. 131, 104–120. 

- Hird, J.N., DeLancey, E.R., McDermid, G.J., Kariyeva, J., 2017. Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping. _Remote Sensing_ 9, 1315. 

- Mahdianpari, M., Brisco, B., Granger, J. E., Mohammadimanesh, F., Salehi, B., Banks, S., ... & Weng, Q. (2020). The Second Generation Canadian Wetland Inventory Map at 10 Meters Resolution Using Google Earth Engine. _Canadian Journal of Remote Sensing_, 46(3), 360-375. 

- Mahdianpari, M., Salehi, B., Mohammadimanesh, F., Homayouni, S., Gill, E., 2018. The First Wetland Inventory Map of Newfoundland at a Spatial Resolution of 10 m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform. _Remote Sensing_ 11, 43. 

- Radwin, M., & Bowen, B. (2024). Evolution of Great Salt Lake’s Exposed Lakebed (1984-2023): Variations in Sediment Composition, Water, and Vegetation from Landsat OLI and Sentinel MSI Satellite Reflectance Data. Geosites, 51, 1–23. 

- Wang, X., Xiao, X., Zou, Z., Chen, B., Ma, J., Dong, J., Doughty, R.B., Zhong, Q., Qin, Y., Dai, S., Li, X., Zhao, B., Li, B., 2020. Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine. _Remote Sens. Environ_. 238, 110987. 

- Wu, Q., Lane, C.R., Li, X., Zhao, K., Zhou, Y., Clinton, N., DeVries, B., Golden, H.E., Lang, M.W., 2019. Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine. _Remote Sens. Environ_. 228, 1–13. 

- Yancho, J. M. M., Jones, T. G., Gandhi, S. R., Ferster, C., Lin, A., & Glass, L. (2020). The Google Earth Engine Mangrove Mapping Methodology (GEEMMM). _Remote Sensing_, 12(22), 3758. 



### Land Cover



- Brown, C. F., Brumby, S. P., Guzder-Williams, B., Birch, T., Hyde, S. B., Mazzariello, J., ... & Tait, A. M. (2022). Dynamic World, Near real-time global 10 m land use land cover mapping. _Scientific Data_, 9(1), 1-17. 

- Carrasco, L., O’Neil, A.W., Morton, R.D., Rowland, C.S., 2019. Evaluating Combinations of Temporally Aggregated Sentinel-1, Sentinel-2 and Landsat 8 for Land Cover Mapping with Google Earth Engine. _Remote Sensing_ 11, 288. 

- Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., Kommareddy, A., Egorov, A., Chini, L., Justice, C.O., Townshend, J.R.G., 2013. High-resolution global maps of 21st-century forest cover change. _Science_ 342, 850–853. 

- Huang, H., Chen, Y., Clinton, N., Wang, J., Wang, X., Liu, C., Gong, P., Yang, J., Bai, Y., Zheng, Y., Zhu, Z., 2017. Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine. _Remote Sens. Environ_. 202, 166–176. 

- Liu, H., Gong, P., Wang, J., Clinton, N., Bai, Y., Liang, S., 2020. Annual Dynamics of Global Land Cover and its Long-term Changes from 1982 to 2015. _Earth Syst. Sci. Data_. 12, 1217–1243. 

- Radwin, M., & Bowen, B. (2024). Evolution of Great Salt Lake’s Exposed Lakebed (1984-2023): Variations in Sediment Composition, Water, and Vegetation from Landsat OLI and Sentinel MSI Satellite Reflectance Data. Geosites, 51, 1–23. 



### Disaster Management



- DeVries, B., Huang, C., Armston, J., Huang, W., Jones, J.W., Lang, M.W., 2020. Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine. _Remote Sens. Environ_. 240, 111664. 

- Liu, C.-C., Shieh, M.-C., Ke, M.-S., Wang, K.-H., 2018. Flood Prevention and Emergency Response System Powered by Google Earth Engine. _Remote Sensing_ 10, 1283. 

- Tellman, B., Sullivan, J.A., Kuhn, C., Kettner, A.J., Doyle, C.S., Brakenridge, G.R., Erickson, T.A., Slayback, D.A., 2021. Satellite imaging reveals increased proportion of population exposed to floods. _Nature_ 596, 80–86. 



### Coastal



- Vos, K., Splinter, K.D., Harley, M.D., Simmons, J.A., Turner, I.L., 2019. CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery _Environmental Modelling and Software_. 122, 104528. 



## Contributing



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## License



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To the extent possible under law, Qiusheng Wu has waived all copyright and related or neighboring rights to this work.