My research aims to synthesise field observations with Optical, Synthetic Aperture Radar (SAR) and LiDAR data to better characterize biomass, forest structure and dynamics across different forest biomes. This work intends to reduce the uncertainties on terrestrial carbon, provide a better understanding of the global carbon cycle and support climate change policies worldwide.
Research Keywords & Expertise
Change Detection
Early Warning Systems
Earth Observation
Ecosystem Services
Forestry
Remote Sensing
SAR
forest biomass
machine learning
Carbon dynamics
Fingerprints
37%
Remote Sensing
34%
SAR
22%
forest biomass
19%
Earth Observation
19%
machine learning
7%
Change Detection
Short Biography
My research aims to synthesise field observations with Optical, Synthetic Aperture Radar (SAR) and LiDAR data to better characterize biomass, forest structure and dynamics across different forest biomes. This work intends to reduce the uncertainties on terrestrial carbon, provide a better understanding of the global carbon cycle and support climate change policies worldwide.
Honors and Awards
The Remote Sensing and Photogrammetry Society Student Award for the best PhD thesis in 2017
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