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Summarize geospatial raster datasets based on vector geometries

Project description

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rasterstats is a Python module for summarizing geospatial raster datasets based on vector geometries. It includes functions for zonal statistics and interpolated point queries. The command-line interface allows for easy interoperability with other GeoJSON tools.


For details on installation and usage, visit the documentation at

What does it do?

Given a vector layer and a raster band, calculate the summary statistics of each vector geometry. For example, with a polygon vector layer and a digital elevation model (DEM) raster, compute the mean elevation of each polygon.

zones elevation

Command Line Quick Start

The command line interfaces to zonalstats and point_query are rio subcommands which read and write geojson features

$ fio cat polygon.shp | rio zonalstats -r elevation.tif

$ fio cat points.shp | rio pointquery -r elevation.tif

See the CLI Docs. for more detail.

Python Quick Start

For zonal statistics

>>> from rasterstats import zonal_stats
>>> stats = zonal_stats("tests/data/polygons.shp", "tests/data/elevation.tif")
>>> stats[1].keys()
['count', 'min', 'max', 'mean']
>>> [f['mean'] for f in stats]
[756.6057470703125, 114.660084635416666]

and for point queries

>>> from rasterstats import point_query
>>> point = "POINT(245309 1000064)"
>>> point_query(point, "tests/data/elevation.tif")


Find a bug? Report it via github issues by providing

  • a link to download the smallest possible raster and vector dataset necessary to reproduce the error
  • python code or command to reproduce the error
  • information on your environment: versions of python, gdal and numpy and system memory

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