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Systems for searching and integrating remote geospatial assets and global data repositories.
Distinct from Data Asset Search: Focuses on planetary-scale geospatial data catalogs rather than generic enterprise data assets or web fonts.
Explore 2 awesome GitHub repositories matching data & databases · Geospatial Data Catalogs. Refine with filters or upvote what's useful.
geemap is a Python library and geospatial toolkit designed for interactive mapping, remote sensing visualization, and satellite imagery analysis. It serves as a Python interface for Google Earth Engine, enabling users to manage cloud-based geospatial workflows and visualize datasets within notebook environments. The project distinguishes itself through automated code conversion, allowing scripts and notebooks to be translated between programming languages. It also provides specialized remote sensing visualization capabilities, such as generating time-lapse GIFs from imagery sequences with sup
Enables searching global data catalogs and importing personal geospatial assets directly from notebooks.
Leafmap is a Python geospatial visualization library designed for creating interactive maps and performing geospatial analysis within Jupyter environments. It provides a comprehensive set of tools for building interactive map interfaces, browsing and visualizing SpatioTemporal Asset Catalog items, and connecting to PostGIS databases for spatial data rendering. The project distinguishes itself through a backend-agnostic rendering system that allows users to switch between different mapping engines while maintaining a consistent API. It features specialized capabilities for Cloud Optimized GeoT
Provides tools to search remote registries and access geospatial datasets from cloud providers and public archives.