Wildlife Monitoring Engine

Biodiversity and nature-credit claims are difficult to verify when they depend on proxies or opaque scores. Wildlife Monitoring Engine creates an auditable evidence layer by processing satellite acquisitions, acoustic recordings, and camera-trap media through field-validated machine-learning and geospatial workflows. Every resulting metric is linked to a date, location, and underlying physical source.

• Satellite intelligence: Processes Sentinel-2 and Landsat imagery using atmospheric correction, spectral analysis, and temporal statistics.
• Vegetation and water monitoring: Calculates NDVI, EVI, and NDWI time series to track canopy condition, vegetation health, and water stress.
• Land-cover change detection: Identifies deforestation, degradation, fire aftermath, and restoration progress, incorporating ESA WorldCover, GFW, and GEDI information.
• Wildlife classification: Applies BirdNET v2, MegaDetector v5, and SpeciesNET to acoustic recordings and camera-trap media, producing species detections and IUCN threat attribution.
• Auditable reporting and delivery: Consolidates metrics in dashboards and scheduled reporting pipelines, with GeoTIFF layers published through WMS/WFS for downstream GIS use.

The platform is distinctive in combining remotely sensed habitat evidence with direct field observations while retaining source-level traceability. Its structured outputs support biodiversity assessment, TNFD-aligned reporting, conservation planning, and verification of carbon or nature projects without relying on proprietary black-box scores.