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Martin Brandt received his PhD from the University of Bayreuth, Germany in 2014 and has been working as an Assistant Professor at the University of Copenhagen since 2015. His major fields of expertise include remote sensing and physical geography, with a focus on monitoring vegetation dynamics, particularly in West Africa and Southern China. Brandt’s research is pioneering in the application of deep learning techniques to analyze satellite imagery. He has worked on projects that involve mapping billions of individual tree crowns in desert areas, using hundreds of thousands of sub-metre satellite images. In recognition of his innovative research, he received the ERC starting grant under the DFF Sapere Aude initiative in 2020 to study trees and forests on a global scale. Over the past five years, he has engaged in collaborations across various continents, contributing to his field significantly with 15 manuscripts published in high-impact journals such as Nature and Science between 2018 and 2021, where he is often listed as a co-author.
Focuses on clinical, social, and cognitive psychology.