raster2poly 0.1.0

Classify rasters and vectorise the result to clean, dissolved polygons — in three lines of code.

from raster2poly import RasterClassifier

clf = RasterClassifier("satellite.tif")
gdf = clf.unsupervised(n_clusters=6)
clf.save(gdf, "classes.gpkg")

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Getting Started

• Introduction
  • Why this package?
  • Supported methods
  • Utility helpers
  • Design principles
• Installation
  • From PyPI
  • From source
  • System requirements
  • Verify
• Quick start
  • Unsupervised
  • Supervised (ROI shapefile)
  • Rule-based (DN ranges)

User Guide

• Classification methods
  • Unsupervised — clf.unsupervised()
  • Supervised — clf.supervised()
  • Rule-based — clf.from_dn_ranges()
  • Utility helpers
  • Polygon options (all methods)
  • Output formats
• Cookbook
  • 🗺️ raster2poly — Classification & Vectorisation Cookbook

Reference

• API Reference
  • RasterClassifier

Development

• Contributing
• Changelog

Indices

• Index

• Module Index