The UConn Global Environmental Remote Sensing (GERS) Lab has developed a new remote sensing method to continuously monitor primary forest loss and determine what factors are driving that loss.

Conifer and mesquite encroachment into prairie chicken habitats. Understanding vulnerability to burning. Soil erosion risk assessment. Spectral detection of near-surface moisture content. Conducting ...

Millions of hectares of old-growth forest disappearing every year, along with tens of thousands of forest species, scientists ...

The Agriculture and Forest Ecosystems Team analyses a valuable collection of earth observation time series data for regions of Earth characterized by agriculture and forests. The team develops ...

The solar-induced chlorophyll fluorescence (SIF) remote sensing data contain an abundance of plant physiological and biochemical information, which can directly reflect the dynamic process changes ...