Monitors vegetation health against historical norms using satellite data, providing an effective early warning for drought.

Quantifies natural and semi-natural habitats on productive zones, such as farms or managed forests, measuring a direct commitment to biodiversity and sustainability.

Identifies nearby protected areas, providing crucial context for conservation efforts and environmental risk management.

Identifies nearby protected areas, providing crucial context for conservation efforts and environmental risk management.

Provides data on the presence of threatened species, fundamental for biodiversity assessments and conservation planning.

Reflects species observations from public data base.

Monitors the loss of forest cover, a critical indicator for biodiversity, climate change, and supply chain transparency.

Assesses the overall health of an ecosystem with focus on structure, composition and function.

Quantifies the extent to which a habitat remains free from anthropogenic disturbance and serves as an indicator of ecosystem health.

Measures how well a landscape supports wildlife movement and natural processes, vital for biodiversity and climate resilience.

Distinguishes between the physical land types (cover) and its human purpose (use), foundational for environmental planning.

Identifies the presence and distribution of invasive alien species by country or region, using data from the Global Register of Introduced and Invasive Species (GRIIS) to assess ecological risk and biodiversity impact.

Provides data on the distribution of species, fundamental for biodiversity assessments and conservation planning.

Collects field-based biodiversity data using tools such as camera traps, eDNA sampling, and species geotagging to validate and enhance remote sensing insights on species presence, abundance, and ecosystem health.

Measures the height of vegetation canopies using satellite or LiDAR data to assess forest structure, biomass, and habitat complexity across landscapes.