Earth Observation
Showing 13 of 13 projects
A curated list of open-source geospatial analysis tools, libraries, and resources across multiple programming languages and domains.
A curated list of satellite and aerial imagery datasets with annotations for computer vision and deep learning tasks.
A curated collection of tools, tutorials, code, and resources for Earth Observation and geospatial satellite imagery analysis.
A Python framework for processing spatio-temporal satellite imagery and extracting features for machine learning applications.
Interactive interface for browsing global, full-resolution satellite imagery with near real-time updates.
A free and open-source computational engine for raster, vector, and geospatial processing with a built-in temporal framework.
An open-source framework for building multi-modal geospatial ML models that fuse satellite, drone, and weather data for agriculture and sustainability insights.
A collection of custom JavaScript scripts for visualizing and processing satellite imagery with Sentinel Hub services.
A Python framework for scalable organization and processing of SAR satellite data, integrating SNAP and GAMMA.
A curated list of awesome tools, tutorials, and APIs for accessing and processing Copernicus Sentinel satellite data.
An open-source remote sensing dataset and pipeline for agricultural land use classification, featuring 95,186 datapoints with satellite and climatology data.
A software system processing Sentinel-2 satellite imagery for agricultural monitoring and Common Agricultural Policy (CAP) management.
A JavaScript/TypeScript library for downloading and processing satellite imagery using Sentinel Hub services.
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