LiDAR Remote Sensing of Forest Structure and Function from the Ground and Air
We are interested in the connection between small footprint LiDAR collected on the ground and from airborne surveys and forest size structure, biomass, and dynamical properties (light, tree growth, and photosynthetic production). We investigate how to
(1) infer small-scale spatial heterogeneity in leaf area from LIDAR, use this to
(2) understand light environments, and then
(3) connect the growth of thousands of mapped trees in the two sites in the central Amazon to LiDAR-derived crown environments.
Figure: A profile of LiDAR estimated leaf area density along a 250m transect at the Tapajós National Forest near Santarém in Pará, Brazil. The Y-axis is the vertical dimension. Colors grade from low (blue) to high (red) leaf area density values (m^2 leaves / m^3 of space), with the highest value of 2.