Visualizing the Maxar Open Data for the 2023 North India Floods (pre and post event images) on the split map using leafmap.
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Updated
Nov 8, 2023 - Jupyter Notebook
Visualizing the Maxar Open Data for the 2023 North India Floods (pre and post event images) on the split map using leafmap.
To analyze the COVID-19 situation in Japan and identify trends and insights using publicly available data, focusing on nonlinear regression and geographical analysis.
Streamlit app for visualizing and labeling COGs
GitHub workflows for building GDAL, geemap, leafmap, and other geospatial packages
A multi-page streamlit web app template for geospatial applications
A template for Solara web apps
A collection of Jupyter notebooks for geospatial applications
Leafmap for Jupyterlite
A template for building a mkdocs website
A Python package for installing optional dependencies for geemap and leafmap.
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
Geo Assist is a spatial library to manage spatial data in-memory.
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
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