TerraPulse provides data-driven geospatial solutions by analyzing petabytes of satellite imagery to create dynamic maps that inform land-use planning and investment decisions. Their technology enables clients to monitor natural resources, track trends, and assess site potential with timely and accurate information.
Funding
Funding not disclosed
Founders
Product
Problem
Land-use planning and investment decisions often lack timely and accurate information on natural resources, trends, and site potential, hindering effective monitoring and assessment. Analyzing large-scale satellite imagery to derive actionable insights is complex and requires specialized expertise.
Solution
TerraPulse provides data-driven geospatial solutions by analyzing satellite imagery to generate dynamic maps that inform land management and investment strategies. Their technology enables users to monitor natural resources, track trends, and evaluate site potential through timely and precise data. TerraPulse offers a range of data products, including measurements of tree cover, surface water, urban development, and vegetation indices, delivered through user-friendly interfaces. The platform leverages decades of expertise in geospatial intelligence, machine learning, and satellite image analysis to streamline the provision of actionable, real-time data.
Target Audience
TerraPulse serves professionals in forestry, wildlife management, agriculture, brokerage, investment, non-profit, government, science, and education sectors who require geospatial data for informed decision-making.
Features
- Time-series maps of tree cover, available from 1984 to present, with up to 10-meter resolution
- Surface water datasets mapping inundation, globally available at up to 10-meter resolution from 1984 to present
- Urbanization datasets mapping urban cover and change as estimates of impervious surface cover
- Satellite-based indices, including NDVI, NDWI, and NDSI, at up to 10-meter daily resolution
- Biomass datasets representing actual and potential aboveground biomass at up to 30-meter annual resolution
- Wildfire datasets estimating the probability of fire occurrence based on land cover, terrain, and climate
- Species & Habitat datasets mapping the spatial distribution of species based on environmental niche
- Terrain data suite derived from gridded measurements of elevation captured by optical and radar sensors
- Ownership & Protection data offering custom public lands layers derived from USGS and IUCN databases
- USDA Cropland Data Layer for visualization, covering the conterminous US at 30-meter resolution