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earthchange

Multipurpose satellite change detection in pure Python. Map deforestation, mining, urbanisation, floods, burns, surface-water change and multi-epoch urban growth anywhere on Earth from free Sentinel-1/2 and Landsat data — via Google Earth Engine or Microsoft Planetary Computer (no account needed). Export georeferenced GeoTIFFs, quick-look PNGs, statistics, and print-ready A4 maps.

Install

Heavy dependencies are optional extras, so the install stays lean:

pip install 'earthchange[gee]'       # Google Earth Engine backend (free account)
pip install 'earthchange[mpc,maps]'  # Planetary Computer + maps (no account)
pip install 'earthchange[all]'       # everything

Quick start

# Deforestation around a coordinate, with a finished map
earthchange -s deforestation --lat -3.333 --lon 122.25 --radius 6 --map

# Flood extent from Sentinel-1 SAR — no Earth Engine account needed
earthchange -s flood --lat 27.2 --lon 68.3 \
    --pre 2022-07-01:2022-07-25 --post 2022-08-20:2022-09-10 --backend mpc

# Urban growth timing across 2010/2015/2020 (Landsat 5/8/9)
earthchange -s urban-trend --lat -6.30 --lon 107.15 --map

# List everything
earthchange --list

Each run writes a self-contained output/<run-id>/ folder containing the PNG, GeoTIFF, statistics JSON, metadata, and any maps.

Scenarios

Scenario Method Sensor
deforestation NDVI loss Sentinel-2
urbanization Built-up gain — NDBI (default), UI, BU, IBI, or thermal NDISI/EBBI via --method Sentinel-2 / Landsat
water NDWI change Sentinel-2
burn dNBR severity Sentinel-2
mining SIRAD radar temporal + NDVI loss Sentinel-1 + S2
flood SAR water extent (event vs baseline) Sentinel-1
urban-trend NDBI at 3 epochs → RGB growth-timing map Landsat 5/8/9
coastline Sea boundary + shoreline change (erosion/accretion) + retreat rate m/yr S1 / S2 / Landsat
transit-access % population with access to public transport (SDG 11.2.1) WorldPop + OSM
island-heat SST + LST + wet-bulb (humid heat) trends for small islands OISST / Landsat / ERA5
urban-heat Urban heat island (SUHII) + hot-spot map + decadal trend GHSL + Landsat + MODIS
forest-history Multi-epoch deforestation: year-of-loss map + forest-area trajectory S2 / Landsat NDVI
population-change Two-epoch population change: Miloš-style spike poster + map + optional true GPU 3D via forge3d GHSL GHS_POP
haze Smoke & air quality during fires: PM2.5 (ISPU), aerosol index, hotspots CAMS + Sentinel-5P + FIRMS
fire-history Multi-year fire record: burned area per year (peat vs mineral), recurrence map, fire season MODIS MCD64A1 + FIRMS

Two backends

--backend Data source Account?
gee (default) Google Earth Engine free account + earthengine authenticate
mpc Microsoft Planetary Computer (STAC) none — streams COGs, processes locally

Optical scenarios build cloud-masked median composites; radar scenarios auto-select the Sentinel-1 orbit with coverage. The AOI is a square centred on your coordinate. Landsat 7 is skipped (SLC-off gaps).

Make maps from a finished run

earthmap output/<run-id>            # render A4 map sheets offline (no GEE)

Map sheets include an OpenStreetMap basemap, the change layer, legend, a statistics panel, a location inset, coordinate grid, scale bar and north arrow.

License

MIT © Firman Hadi. Data: Copernicus Sentinel (ESA) and Landsat (USGS/NASA), via Google Earth Engine or Microsoft Planetary Computer.

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