Package: geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.GitHub repo:https://github.com/gee-community/geemapDocumentation:https://geemap.orgPyPI:https://pypi.org/project/geemap/Conda-forge:https://anaconda.org/conda-forge/geemap360+ GEE notebook examples:https://github.com/giswqs/earthengine-py-notebooksGEE Tutorials on YouTube:https://youtube.com/@giswqsFree software: MIT licenseAcknowledgment:The geemap project is supported by the National Aeronautics and Space Administration (NASA) under Grant No. 80NSSC22K1742 issued through theOpen Source Tools, Frameworks, and Libraries 2020 Program.ContentsAnnouncementIntroductionFeaturesInstallationCitationsAnnouncementThe bookEarth Engine and Geemap: Geospatial Data Science with Python, written byQiusheng Wu, has been published by Locate Press in July 2023. If you’re interested in
purchasing the book, please visit this URL:https://locatepress.com/book/gee.IntroductionGeemapis a Python package for geospatial analysis and visualization withGoogle Earth Engine(GEE), which is a cloud computing platform with amulti-petabyte catalogof satellite imagery and geospatial datasets. During the past few years,
GEE has become very popular in the geospatial community and it has empowered numerous environmental applications at local, regional, and global scales. GEE provides both JavaScript and Python APIs for
making computational requests to the Earth Engine servers. Compared with the comprehensivedocumentationand interactive IDE (i.e.,GEE JavaScript Code Editor) of the GEE JavaScript API,
the GEE Python API has relatively little documentation and limited functionality for visualizing results interactively. ThegeemapPython package was created to fill this gap. It is built uponipyleafletandipywidgets, and enables users to
analyze and visualize Earth Engine datasets interactively within a Jupyter-based environment.Geemapis intended for students and researchers, who would like to utilize the Python ecosystem of diverse libraries and tools to explore Google Earth Engine. It is also designed for existing GEE users who would like to transition from the GEE JavaScript API to Python API. The automated JavaScript-to-Pythonconversion moduleof thegeemappackage
can greatly reduce the time needed to convert existing GEE JavaScripts to Python scripts and Jupyter notebooks.For video tutorials and notebook examples, please visithttps://geemap.org/tutorials. For complete documentation on geemap modules and methods, please visithttps://geemap.org/geemap.If you find geemap useful in your research, please consider citing the following papers to support my work. Thank you for your support.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.02305Wu, 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 Sensing of Environment, 228, 1-13.https://doi.org/10.1016/j.rse.2019.04.015(pdf|source code)Check out the geemap workshop presented at the GeoPython Conference 2021. This workshop gives a comprehensive introduction to the key features of geemap.FeaturesBelow is a partial list of features available for the geemap package. Please check theexamplespage for notebook examples, GIF animations, and video tutorials.Convert Earth Engine JavaScripts to Python scripts and Jupyter notebooks.Display Earth Engine data layers for interactive mapping.Support Earth Engine JavaScript API-styled functions in Python, such asMap.addLayer(),Map.setCenter(),Map.centerObject(),Map.setOptions().Create split-panel maps with Earth Engine data.Retrieve Earth Engine data interactively using the Inspector Tool.Interactive plotting of Earth Engine data by simply clicking on the map.Convert data format between GeoJSON and Earth Engine.Use drawing tools to interact with Earth Engine data.Use shapefiles with Earth Engine without having to upload data to one’s GEE account.Export Earth Engine FeatureCollection to other formats (i.e., shp, csv, json, kml, kmz).Export Earth Engine Image and ImageCollection as GeoTIFF.Extract pixels from an Earth Engine Image into a 3D numpy array.Calculate zonal statistics by group.Add a customized legend for Earth Engine data.Convert Earth Engine JavaScripts to Python code directly within Jupyter notebook.Add animated text to GIF images generated from Earth Engine data.Add colorbar and images to GIF animations generated from Earth Engine data.Create Landsat timelapse animations with animated text using Earth Engine.Search places and datasets from Earth Engine Data Catalog.Use timeseries inspector to visualize landscape changes over time.Export Earth Engine maps as HTML files and PNG images.Search Earth Engine API documentation within Jupyter notebooks.Import Earth Engine assets from personal account.Publish interactive GEE maps directly within Jupyter notebook.Add local raster datasets (e.g., GeoTIFF) to the map.Perform image classification and accuracy assessment.Extract pixel values interactively and export as shapefile and csv.InstallationTo usegeemap, you must firstsign upfor aGoogle Earth Engineaccount.Geemapis available onPyPI. To installgeemap, run this command in your terminal:pipinstallgeemapGeemapis also available onconda-forge. If you haveAnacondaorMinicondainstalled on your computer, you can create a conda Python environment to install geemap:condacreate-ngeepython=3.10condaactivategeecondainstall-nbasemamba-cconda-forgemambainstallgeemap-cconda-forgeIf you have installedgeemapbefore and want to upgrade to the latest version, you can run the following command in your terminal:pipinstall-UgeemapIf you use conda, you can update geemap to the latest version by running the following command in your terminal:condaupdate-cconda-forgegeemapTo install the development version from GitHub usingGit, run the following command in your terminal:pipinstallgit+https://github.com/gee-community/geemapTo install the development version from GitHub directly within Jupyter notebook without using Git, run the following code:importgeemapgeemap.update_package()CitationsTo support my work, please consider citing the following articles: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.02305Wu, 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 Sensing of Environment, 228, 1-13.https://doi.org/10.1016/j.rse.2019.04.015(pdf|source code)