We develop a method to delineate patches in a tropical forest using LiDAR data.

Trees identified from a Canopy Height Model are clustered using k-medoids.

Patches based on Thiessen polygons reduce edge effects associated with grid cells.

The method has relevance in landscape ecology for estimating habitat fragmentation.

Patch-based models could improve carbon stock estimations in tropical forests.