Jaime Caballer Revenga

Jaime Caballer Revenga serves as a Guest Researcher in the Department of Geosciences and Natural Resource Management at the University of Copenhagen. His research integrates physical geography, UAV-based remote sensing, and computer science to develop novel methods for mapping biomass and carbon stocks from mobile platforms.

Revenga's research focuses on applying deep learning frameworks to point cloud data understanding and time series analysis for flux measurements. His work centers on micrometeorology and ecophysiology within physical geography, utilizing near-field remote sensing technologies. Fieldwork is conducted at ICOS ecosystem sites to validate carbon stock estimates against ecosystem-level net ecosystem exchange (NEE).

Analysis of his publication record reveals a strong emphasis on UAV-LiDAR and machine learning applications across agricultural and forest ecosystems. His research trajectory shows increasing technical sophistication from 2021-2024, with recent work achieving significant citation impact in high-impact journals like Remote Sensing of Environment.

His collaborative network spans international research groups focused on environmental monitoring and carbon cycle science, with recent external collaborations visible across multiple country territories as indicated in institutional network visualizations.