Preserving Earth's Life
Biodiversity loss is accelerating at an unprecedented rate. Traditional field surveys are limited in scope and frequency, making it impossible to monitor ecosystems at the scale needed for effective conservation.
Our satellite-based monitoring platform provides continuous, global-scale observation of habitats, enabling conservation organizations and researchers to track changes, identify threats, and prioritize interventions.
Detection Methodology
Multi-Spectral Imaging
Capture high-resolution imagery across visible, near-infrared, and short-wave infrared bands to identify vegetation types, health indicators, and habitat characteristics.
Habitat Classification
Machine learning algorithms classify land cover types, vegetation density, and ecosystem boundaries to create detailed habitat maps at scale.
Species Distribution Modeling
Integrate satellite data with species occurrence records and environmental variables to predict habitat suitability and population distributions.
Change Detection Analysis
Temporal analysis identifies habitat loss, fragmentation, and recovery patterns through automated comparison of multi-date imagery.
Biodiversity Indices
Calculate standardized biodiversity metrics including species richness estimates, habitat connectivity, and ecosystem intactness scores.
Key Features
Habitat Mapping
Detailed classification of forest types, wetlands, grasslands, and other ecosystems at 10-meter resolution.
Connectivity Analysis
Identify wildlife corridors and fragmentation patterns critical for species movement and genetic diversity.
Vegetation Health
Monitor NDVI, LAI, and other indices to track ecosystem productivity and detect environmental stress.
Historical Archives
Access 40+ years of Landsat data for long-term trend analysis and baseline establishment.
Scientific Foundation
Our biodiversity monitoring approaches are grounded in decades of ecological research and remote sensing science.
Satellite Remote Sensing for Biodiversity Research
Pettorelli, N., Safi, K., Turner, W.
Essential Biodiversity Variables from Remote Sensing
Skidmore, A.K., Pettorelli, N., et al.
Deep Learning for Species Distribution Modeling
Deneu, B., Servajean, M., Bonnet, P., et al.
Mapping Biodiversity from Space: Review and Prospects
Turner, W., Spector, S., Gardiner, N., et al.
Ready to See the Earth
Like Never Before?
Join leading organizations using our platform to monitor, predict, and respond to environmental changes in real-time.