Remote Sensing & LiDAR

Overview

We develop computational LiDAR pipelines that push height-resolved sensing from airborne to spaceborne platforms. By combining compressive sampling with machine learning, the group reconstructs forest structure, topography, and canopy height from photon-limited measurements that conventional processing cannot resolve.

Transformer models and hyperspectral side-information further improve reconstruction quality, while emulation frameworks bridge high-altitude and satellite regimes to prepare methods for the next generation of Earth-observing missions.