Metadata-Version: 2.1
Name: region-grow
Version: 1.0.0
Summary: Creates a new polygon locally given a set of points using a region grow algorithm approach and a satellite image in GeoTIFF format. The polygon output format is ESRI Shapefile
Home-page: https://github.com/ggonzr/region_grow
Author: Geovanny Andres Gonzalez
Author-email: ga.gonzalezr@uniandes.edu.co
License: MIT
Keywords: raster region grow
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: GIS
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: Shapely
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: rasterio
Requires-Dist: geopandas

Creates a polygon using a set of points from a region of interest by grouping pixels whose spectral reflectance is similar. The polygons are created using a satellite image in GeoTIFF format. In this project several algorithms are implemented to build this figure. Among them are: Selection by similarity threshold (%), Euclidean distance and selection by confidence interval. The generated polygon is exported in ESRI Shapefile format.

Please look the docs available in the Github repo


