Remote Sensing – Forest Ecology – Data Science
We study how forests are structured, how they function, and how humans are changing them. We focus on what data can tell us about trees and forests, using a wide range of information including satellite, drone and ground-based remote sensing, and traditional forest data from ground surveys such as National Forest Inventories. We use techniques from modern data science to develop new ways to extract information from data, addressing questions ranging from fundamental ecology to applied conservation.
We are primarily based at the Department of Geography, University of Cambridge, and the School of Geography, Queen Mary University of London.