Lab has developed a new remote sensing method to continuously monitor primary forest loss and determine what factors are driving that loss. Their findings are published in the journal Remote ...

Spectral detection of near-surface moisture content. Conducting biomass inventory. Applications for remote sensing and geospatial technology are boundless—as we detect, map, compare, inventory, and ...

The Integrated Remote and In Situ Sensing (IRISS) initiative is a pillar of the CU Boulder ... about myriad events like climate fluctuations, drought conditions, and forest dieback. IRISS has been ...

and terrain measurements not based on remote sensing. The team focuses on the large challenges facing society with the goal of supporting sustainable development aimed at food security and resilient ...

Project Forest will employ CU Boulder’s highly sophisticated unmanned aircraft infrastructure for remote sensing, data collection, and monitoring of ecosystem health - such as vegetation growth and ...

The accurate and automatic detection of individual trees is crucial for forestry, monitoring of biodiversity, and various other applications. Very high resolution RGB data from manned and unmanned ...