Jaime Caballer Revenga
Postdoc
Geography 1
Øster Voldgade 10
1350 København K
I am currently working as a PhD fellow at the University of Copenhagen, funded by the MSCA/H2020 program. My PhD project lies at the intersection between physical geography (micrometeorology and ecophysiology), near-field remote sensing (UAV-based) and computer science. I conduct my fieldwork at two ICOS ecosystem sites to compare our C stock estimates with ecosystem-level NEE. In terms of skills, I am particularly interested in applying DL frameworks to point cloud data understanding, and time series analysis (nowcasting) applied to flux measurements. My goal is to contribute to the development of methods to accurately map biomass and C stocks from mobile platforms.
ID: 241427587
Most downloads
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74
downloads
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
40
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Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
10
downloads
Plant Structure and Carbon Storage Assessment Utilizing Drone-Borne Lidar and Deep Learning Technologies in a Danish Agricultural Expanse.
Research output: Contribution to conference › Paper › Research
Published