A Python package for interactive geospatial analysis and visualization of Google Earth Engine data in Jupyter notebooks.
4.1K+2 this week1.2KPythonMITUpdated 2 days ago
#remote-sensing
Best open-source remote sensing tools and libraries (2026)
Remote sensing tools load satellite and aerial imagery, then analyze it or train models on it. Pick a Python library if you're building models, or a GUI if you mostly map and analyze. TorchGeo provides PyTorch datasets, samplers and pre-trained models, segment-geospatial applies Meta's Segment Anything Model to satellite and aerial photos for georeferenced masks, and RustGIS is a desktop and web GIS written in pure Rust, built as an alternative to QGIS and ArcGIS.
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6 repositories
Python framework for building modular workflows that process satellite Earth observation imagery into machine learning inputs.
1.3K+1 this week306PythonMITUpdated 2 months ago
Python package for detecting ecological objects such as tree crowns and birds in airborne RGB imagery, built on torchvision.
789+1 this week279PythonMITWell maintainedUpdated 10 days ago
A Python package that applies Meta's Segment Anything Model (SAM) to geospatial imagery such as satellite and aerial photos, producing georeferenced masks.
4.2K+9 this week451PythonMITWell maintainedUpdated 5 days ago
A PyTorch domain library providing datasets, samplers, transforms, and pre-trained models for geospatial and remote sensing data.
4.2K+9 this week606PythonMITWell maintainedUpdated 23 hours ago
A desktop and web GIS written in pure Rust for mapping, analyzing and sharing geospatial data, with scriptable commands and an AI assistant.
2.4K+216 this week363RustApache-2.0Well maintainedUpdated 2 hours ago