Industry solution · 5 vector + 3 raster workflows

GeoPilot for Climate & ESG

Asset-level climate exposure, emissions roll-ups, and supply-chain geolocation.

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Climate & ESG

The challenge

Sustainability teams must report ESG metrics with spatial precision — facility exposure, supply-chain risk, scope-3 mapping. Vector overlays handle most of it; satellite-based monitoring stays on desktop.

Web · vector workflows

Run these in plain English

Drop your shapefiles, GeoJSON, or GeoPackage into the workspace and ask. No install, free forever tier, results in seconds.

1

Facility Climate Risk Scoring

Overlay facility points against published climate-risk polygon layers and score each on a 1–5 scale.

› Score every facility for flood, heat, and sea-level rise exposure on a 1–5 scale

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2

Emissions by Region

Aggregate facility emissions into proportional symbol maps and choropleth dashboards.

› Proportional symbol map of CO2 emissions by facility; highlight top 10 emitters

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3

Supply Chain Geolocation

Geocode supplier addresses, plot the network, and flag suppliers in high-risk zones.

› Geocode the supplier list and flag any supplier inside a flood or wildfire zone

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4

Protected-Area Proximity

Buffer protected areas, indigenous lands, and Ramsar sites; flag operations inside.

› List operations within 1km of a protected area or Ramsar site, with the polygon name

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5

Sea-Level Rise Asset Exposure

Intersect coastal assets with published sea-level rise polygon scenarios.

› For each coastal asset, list which sea-level scenarios (1m, 2m, 3m) inundate it

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Supported on the web:.shp.geojson.kml.gpkg.csv.parquet.dxf.kmz

Desktop · raster image processing

Heavy pixels? Run them locally.

The desktop app runs Python on your machine — no timeouts, no upload limits, works air-gapped. Request access to get the build that fits your OS and use case.

Deforestation Monitoring

Run change-detection on multi-date satellite imagery to quantify forest cover loss in hectares.

inSentinel-2 time series
outLoss polygons + hectares

Land Surface Temperature

Process Landsat thermal bands into LST rasters for urban-heat and operational-risk mapping.

inLandsat thermal bands
outLST raster + heat zones

Carbon-Stock Estimation

Combine canopy-height rasters with allometric equations to estimate above-ground biomass per hectare.

inCanopy height + landcover
outCarbon-stock raster
Supported on the desktop:.tif.tiff.img.asc.las.laz.nc.h5

One workspace

Same chat, same project, two engines.

Start in the browser. Move to desktop when the dataset gets heavy. Projects sync — no re-importing, no re-prompting.

1 · Ask in the workspace

Describe the analysis. GeoPilot picks ops, runs them, returns map + data + report.

2 · Vector? Done in the browser.

Buffers, joins, network analysis, choropleths — finishes in seconds, every plan.

3 · Raster? Switch to desktop.

Same chat continues against local Python. No timeouts, no upload caps.

Ready to ship climate & esg workflows?

Free vector tier. Desktop by request — tell us your OS, dataset size, and sensor type and we'll get back within one business day.

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