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Data / Geoprocessing · 2026

Preliminary Territorial Diagnosis

PythonStreamlitGeoJSONOpen dataTesting

An educational Python prototype that reads public environmental data for a territory (GeoJSON) and shows deforestation, conservation units and priority areas, always with source and limitation.

Context

Public environmental data is hard to read for a first look at a territory, and easy to over-interpret.

Solution

The user picks a demo area or uploads a GeoJSON. The app computes the area, queries PRODES/INPE deforestation where coverage exists, checks overlap with ICMBio conservation units and priority areas, and produces a report with a SHA-256 checksum. It also states what the analysis does not answer.

What it shows

  • States its own limits: no carbon estimate or eligibility, and the demo series is illustrative.
  • Tests with pytest, linting with ruff and automated Playwright screenshots.
  • Independent project, with no joint authorship with the institutions that inspired it.

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