A collection of 300+ examples for using Earth Engine and the geemap Python package
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Updated
Jun 12, 2020 - Python
A collection of 300+ examples for using Earth Engine and the geemap Python package
Earth Engine and Geemap: Geospatial Data Science with Python
Python scripts for deploying Earth Engine Apps to heroku
Interactive web apps created using geemap and streamlit
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
A streamlit multipage app template for geospatial applications
A streamlit app template based on streamlit-option-menu
A collection of Jupyter notebooks for GEE Courses
A Python package for installing optional dependencies for geemap and leafmap.
Geo Assist is a spatial library to manage spatial data in-memory.
A collection of Earth Engine Apps created using geemap and voila
Interactive geemap tutorials on heroku
Ejecicicos en español sobre Jupyter Notebook mediante el paquete de Python, ipyleaflet, y ipywidgets: "geemap", para el mapeo interactivo en Google Earth Engine-GGE, de incendios forestales.
Spatial Data Management with Google Earth Engine
A streamlit web app visualizing global surface water datasets.
Geospatials project meant to help generate burn severity maps & assess surface area affected by wildfires.
Interactively visualize and contextualize high-resolution spaceborne LiDAR data from NASA's ICESat-2 mission, using the OpenAltimetry API along with the Google Earth Engine Python API and the python package geemap for mapping.
An Earth Engine web app developed using Solara and geemap
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