TerraXWildlife

An Earth Intelligence Platform with Multi-Sensor Data and AI Systems for Wildlife Monitoring

Wildlife Detection & Monitoring

TerraXWildlife is a web-based geospatial intelligence platform that maps wildlife presence probability using satellite data, environmental indicators, and AI-driven spatial models. The system supports habitat analysis, risk assessment, and planning by providing interactive, location-specific wildlife intelligence for a range of species like moose, kamel, deer, elk, and kangaroo

Featured Applications

Wildlife-Vehicle Collision Reduction and Ecological Corridor Monitoring

TerraXWildlife delivers an AI- and GIS-based framework designed to minimize wildlife–vehicle collisions and improve ecological connectivity across highways, railways, and industrial corridors. By integrating remote sensing, spatial modeling, and sensor-based wildlife detection, our system identifies collision hotspots, predicts animal movement patterns, and recommends optimal mitigation measures. The system supports transportation safety, biodiversity conservation, and sustainable infrastructure planning. Some of the key features include:

Hotspot Identification Using Spatial Analytics: Combine accident records, topography, and habitat data in GIS to locate collision-prone segments of transport networks.
Remote Sensing–Based Habitat Mapping: Use Sentinel-2, Landsat, and LiDAR data to delineate wildlife habitats, migration corridors, and barriers created by infrastructure.
AI Movement and Risk Prediction: Employ AI and machine learning models to simulate animal movement, predict collision probabilities, and assess mitigation effectiveness.
IoT and Sensor Integration: Deploy smart roadside sensors, thermal cameras, and radar detectors for real-time wildlife detection and alert generation.
Mitigation Planning and Evaluation: Integrate spatial modeling with field data to design wildlife crossings, fencing, and warning systems, and monitor their long-term effectiveness using satellite imagery