Remote Sensing

Large-Scale, High-Resolution, and Historical Data Analysis

Satellite remote sensing provides broad, repeatable, and scalable observations of large areas, making it an essential tool for tracking natural assets at scale.

Key Contributions:

• Large-Area Monitoring: Satellites cover thousands of hectares in a single pass, allowing for efficient tracking of ecosystem changes.

• Historical Comparisons: Time-series analysis helps assess changes in forest cover, carbon sequestration, and land use over months or years.

• Multispectral and Hyperspectral Imaging: Advanced satellite sensors capture vegetation health (NDVI), biomass, soil composition, and water availability.

• LiDAR for 3D Forest Structure Mapping: NASA’s GEDI LiDAR system, for example, provides high-accuracy above-ground biomass estimates, supporting carbon credit verification.