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
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.
Interactive geemap tutorials on heroku
A Time-Series Analysis on the Urban Growth of Denver since 1986. This project utilizes Google Earth Engine in conjunction with the geemap package developed by Dr. Quisheng Wu. Supervised classification was conducted on Landsat images of the greater Denver Metro area and corroborated with Census data to analyze the growth of Denver's urban center…
Jupyter notebooks using the geemap library
Simple CL tool to download GEE imagery
📋 Anaconda virtual environment with Jupyter notebook and Landsat imagery and geemap
Analyzing urban growth in Nordelta, Argentina with Landsat timelapse animation.
Impacts of COVID-19 lockdown on Air quality.
XYZ Vineyard company is looking to improve its growing practices using precision agriculture tools to produce premium quality wine grapes.
A multi-page streamlit web app template for geospatial applications
GitHub workflows for building GDAL, geemap, leafmap, and other geospatial packages
green-cover is a project that helps in analysing geo-mapped aerial data to estimate green cover and related factors
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.
A collection of Jupyter notebooks for geospatial applications
A collection of Jupyter notebooks for GEE Courses
Jupyter notebooks for the GEE book
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