3 papers
cs.CV2024
Tomographic SAR Reconstruction for Forest Height Estimation
Grace Colverd, Jumpei Takami, Laura Schade +2
Tree height estimation serves as an important proxy for biomass estimation in ecological and forestry applications. While traditional methods such as photogrammetry and Light Detec…
cs.LG2024
Tree Species Classification using Machine Learning and 3D Tomographic SAR -- a case study in Northern Europe
Colverd Grace, Schade Laura, Takami Jumpei +2
Tree species classification plays an important role in nature conservation, forest inventories, forest management, and the protection of endangered species. Over the past four deca…
cs.CV2024
3D-SAR Tomography and Machine Learning for High-Resolution Tree Height Estimation
Grace Colverd, Jumpei Takami, Laura Schade +2
Accurately estimating forest biomass is crucial for global carbon cycle modelling and climate change mitigation. Tree height, a key factor in biomass calculations, can be measured…