TreeSense

Remote Sensing and Deep Learning of Global Tree Resources

With TreeSense, our vision is to revolutionize remote sensing of woody vegetation by developing new means to characterize and quantify global woody vegetation dynamics, both inside as well as outside of forests. We will achieve this goal by devising new artificial intelligence (AI) based algorithms for the next generation of remotely sensed data to characterize trees, including key properties such as species identification, crown size and height, carbon stocks and sequestration rates, and local usage.

Our approach will ultimately allow us to accurately unveil and quantify the coupled human-environmental drivers of change in all woody resources and thereby gain new, vital knowledge on the implications of those changes for local livelihoods across the planet.