Remote sensing

Improving near real-time forest disturbance monitoring using multi-source satellite data

Identifying deforestation quickly is key to mitigating forest loss around the world. We believe leveraging the availability of near-instantaneous satellite data can both help effectively monitor without being computationally intensive and be accessible to relevant stakeholders.

Seeing the forest with the trees - A flux story

Eddy-covariance flux towers directly measure fluxes between the atmosphere and the planet, most notably carbon (CO2). The amount of carbon flux at any time is representative of phenology, or the timing of plants' life cycles. We are able to derive this phenology from satellites as well, but the exact correlation to the flux towers has been unknown (when using a lot of data). Our research aims to fix that.