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Query Impact Observatory's 10m Annual LULC in MMW Geoprocessing Style

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MMW IO 10m LULC Summary

This repository builds on Python Notebooks created to query the Impact Observatory 10m LULC dataset on AWS Open Registry, and format the output like the MMW-Geoprocessing service does.

Setup

This project requires Python 3.10+ and uv and jq. To set the project up, run:

./scripts/setup

Running

To run the project, give it a FeatureCollection GeoJSON, such as the ones under examples:

./scripts/run_python examples/LowerSchuylkill.geojson

{
  "List(0)": 19620912,
  "List(1)": 113354,
  "List(11)": 400816,
  "List(2)": 831411,
  "List(4)": 369,
  "List(5)": 225703,
  "List(7)": 3708295,
  "List(8)": 4074
}

Comparing with MMW

Ensure the MMW Geoprocessing service is running at http://localhost:8090/. If elsewhere, edit the MMW_GEOPROCESSING_API variable in scripts/run_geotrellis.

Then, call run_geotrellis with one of the examples:

./scripts/run_geotrellis examples/LowerSchuylkill.geojson

{
  "List(1)": 105463,
  "List(11)": 390845,
  "List(2)": 730907,
  "List(4)": 525,
  "List(5)": 169751,
  "List(7)": 3591677,
  "List(8)": 5066
}

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Query Impact Observatory's 10m Annual LULC in MMW Geoprocessing Style

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