Orbit & Aerial: Multi-Tiered Observations
Geospatial intelligence requires multiple observation altitudes. Librae fuses high-frequency orbital radars with autonomous local drone swarms to eliminate spatial blind spots.
Orbital Constellation Ingestion
Fusing optical, radar, and thermal bands to capture a continuous multi-spectral record of Earth's surface integrity.
Copernicus Sentinel-1
10m ResolutionC-Band Synthetic Aperture Radar (SAR)
Active radar imaging that penetrates cloud cover and weather conditions to map terrain changes, slope movements, and surface boundaries.
Copernicus Sentinel-2
10m – 20m ResolutionMulti-Spectral Optical (13 Bands)
Measures chlorophyll absorption, forest canopy changes, soil moisture, and NDWI (Normalized Difference Water Index) parameters.
Landsat 8 / 9
30m ResolutionOperational Land Imager (OLI) & TIRS
Thermal infrared sensors tracking surface temperature, long-term biomass changes, and agricultural crop health cycles.
Pleiades Neo
30cm ResolutionPanchromatic & Multi-Spectral (Very High Res)
Direct tasking constellation for extreme precision verification of individual tree heights and canopy boundaries.
The Pentagon Swarm Architecture
Where orbital resolution is insufficient or cloud cover blocks optical visibility, CAHAYA deploys **The Pentagon Swarm**—an autonomous fleet of 5 coordinated UAV nodes.
The swarm utilizes a decentralized leader-follower model. The lead drone ("The General") maps the boundary and calculates optimal flight trajectories. It distributes specific search sweeps to the other four drones, executing LiDAR, thermal, and multispectral scans concurrently.
Orchestration Protocol: Swarm coordination operates on localized peer-to-peer LoRa mesh frequencies. If one drone loses signal, the General dynamically redistributes the remaining spatial bounds to ensure continuity.