Pierre Ploton

The paper describes a drone-based photogrammetric method to monitor tropical forests with high spatial and temporal consistency, using Time-SIFT and Arosics algorithms to improve alignment and vegetation analysis.

The paper introduces the Global Canopy Atlas, a harmonized dataset of 3D canopy structure from ALS data, and demonstrates its applications in validating satellite maps, analyzing canopy gap patterns, and quantifying forest turnover.

The paper analyzes global tree crown architecture to identify factors driving diversity in height, crown size, and shape across species.