segment-geospatial and Geo-SAM

These are complementary tools: segment-geospatial provides the core Python library for SAM-based geospatial segmentation, while Geo-SAM wraps it as a QGIS plugin to make the same functionality accessible through a desktop GIS interface.

segment-geospatial
73
Verified
Geo-SAM
50
Established
Maintenance 17/25
Adoption 11/25
Maturity 25/25
Community 20/25
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 18/25
Stars: 3,909
Forks: 415
Downloads:
Commits (30d): 19
Language: Python
License: MIT
Stars: 402
Forks: 51
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

About segment-geospatial

opengeos/segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

This tool helps geospatial analysts and remote sensing specialists automatically identify and outline features like buildings, roads, or land cover in satellite imagery and other geospatial data. You input aerial photos or satellite images, and it outputs precise digital maps with these features segmented and ready for further analysis. This is ideal for anyone working with satellite imagery or geographic information systems (GIS) who needs to quickly extract specific objects or areas of interest.

remote-sensing geospatial-analysis GIS feature-extraction land-cover-mapping

About Geo-SAM

coolzhao/Geo-SAM

A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.

This tool helps geospatial analysts and researchers efficiently outline or "segment" specific landforms, like glaciers or forest areas, within large satellite or aerial images. You provide a geospatial raster image and interactively mark points or regions of interest to receive an instant, precisely delineated shape of the landform. It's designed for anyone working with remote sensing data who needs to quickly extract features without extensive manual tracing.

remote-sensing GIS-analysis landform-mapping geospatial-feature-extraction environmental-monitoring

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