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

Authors: Qiusheng Wu; Lucas Prado Osco;

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

Abstract

Segment-Geospatial (samgeo) is an open-source Python package designed to simplify the process of segmenting geospatial data with the Segment Anything Model. The package leverages popular Python libraries, such as leafmap, ipywidgets, rasterio, geopandas, and segment-anything-py, to provide a straightforward interface for users to segment and remote sensing imagery and export the results in various formats, including vector and raster data. It also provides functionality for downloading remote sensing imagery and visualizing segmentation results interactively in a Jupyter environment. Segment-Geospatial aims to fill the gap in the Python ecosystem by providing a user-friendly, efficient, and flexible geospatial segmentation tool without the need for training deep learning models.

Keywords

Segment Anything Model, Geospatial, Deep learning

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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downloads
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158