Satellite image of farmland in central IndiaAI crop-health map of the same farmland, healthy fields in dark green

11 km² · crop health mapped by AI

From pixelsto decisions.

Geospatial AI and remote sensing for construction, farming and climate.

Start a project Our products
  • Sentinel-1
  • Sentinel-2
  • Landsat
  • LiDAR
  • Drone
  • PlanetScope
  • InSAR

01 Capabilities

What we map.

  • Feature detection

    Buildings, boats, vehicles and roads, found automatically.

  • LiDAR mapping

    Terrain models, canopy height and 3D point clouds.

  • Biodiversity

    Habitat mapping and ecosystem health indicators.

  • Carbon credits

    Project development, baselines and long-term MRV.

  • Change detection

    Monthly change since 2017, flagged as it happens.

  • Agriculture

    Crop type, condition and water stress per field.

Before and after satellite imagery with detected building footprints outlined across a city block
Building footprints · auto-detected

Geospatial AI

Every object, counted.

Models tuned for satellite, aerial and drone imagery.

  • Buildings
  • Boats
  • Vehicles
  • Machinery
  • Trees
  • Water
  • Roads
  • Stockpiles

02 Products

Built and in use.

Construction monitoring

TerraConstruct

Progress, forecasts and alerts for every site — measured from orbit.

  • Satellite history since 2017
  • Automatic building and plant detection
  • IoT sensors and geotagged site photos
Request a demo
TerraConstruct dashboard swiping between 2021 and 2026 imagery of a construction site, with alerts, progress and work zones

Satellite crop advisory

TerraAgriAI

Field-level crop advice from satellite, soil and weather data.

  • Crop type and health from Sentinel-2
  • Soil, rainfall and moisture in one view
  • AI advisory in 13 Indian languages
Request a demo
TerraAgriAI vegetation view with an NDVI map of a 54 ha field, index time series and cover classes

03 Climate

Nature, measured.

Carbon credit development & monitoring

  1. 01BaselineHistoric land cover and biomass
  2. 02DesignBoundaries, eligibility, additionality
  3. 03MonitorSatellite and LiDAR MRV
  4. 04VerifyAudit-ready evidence

Biodiversity

  • Habitat mapping
  • Forest canopy
  • Wetland health
  • Land-cover change

Example Baseline analysis

Narmada river corridor

Madhya Pradesh · 1,952 ha · Oct 2025 – Oct 2026

Mapped at 10 m
1,952 ha
Open water · 7.5%
145 ha
Moderate to dense vegetation
62%
Clear satellite dates in a year
50

Esri 10 m land cover and Sentinel-2 vegetation indices, analysed in TerraAgriAI.

Get a baseline for your site
Land-cover map of a river corridor: the Narmada meander in blue through cropland, rangeland and settlements, with a table of area per class

04 Section 8 · Not-for-profit

Built for impact, not profit.

Every surplus goes back into open geospatial tools for farmers, communities and conservation.

Satellite resolution
10 m
Revisit cycle
5 days
Monthly imagery archive
2017+
Languages supported
14

05 Contact

Let’s map what matters.

Tell us about your site, region or project.

contact@terrava-ai.org

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