Creating a High-Resolution Canopy Height Map of the Earth

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• Konrad Schindler from ETH Zürich
• Friday 13 October 2023, 13:00-14:00
• FW 11, William Gates Building. Zoom link: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon .

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The talk will summarise our efforts to densely map vegetation height over all land surfaces of the Earth. As data sources, we have employed optical imagery from ESA ’s Sentinel-2 satellite and sparse waveforms recorded by NASA ’s space-borne GEDI laser ranger. These observations were fused with the help of probabilistic deep learning models to obtain a canopy height map with a ground sampling distance of 10m, as well as an associated map of predictive uncertainty. Moreover, I will give a short overview over other Earth observation and environmental monitoring activities at ETH ’s chair of Photogrammetry and Remote Sensing.

Konrad Schindler received a Diplomingenieur (M.Tech.) degree in photogrammetry and geo-information from the Vienna University of Technology, Vienna, Austria, in 1999, and a doctorate in computer science from the Graz University of Technology, Graz, Austria, in 2003. He was a photogrammetric engineer at the private industry and held researcher positions at Graz University of Technology; Monash University (Melbourne, Australia); and ETH Z ürich, Switzerland. He was an Assistant Professor of image understanding with TU Darmstadt, Darmstadt, Germany, in 2009. Since 2010, he has been a tenured Professor of photogrammetry and remote sensing with ETH Z ürich. His research interests include computer vision, machine learning, remote sensing and Earth observation.

This talk is part of the Energy and Environment Group, Department of CST series.

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• FW 11, William Gates Building. Zoom link: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon
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