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SUMMARY:Creating a High-Resolution Canopy Height Map of the Earth - Konrad
  Schindler from ETH Zürich
DTSTART:20231013T120000Z
DTEND:20231013T130000Z
UID:TALK204424@talks.cam.ac.uk
CONTACT:114742
DESCRIPTION:The talk will summarise our efforts to densely map vegetation 
 height over all land surfaces of the Earth. As data sources\, we have empl
 oyed optical imagery from ESA’s Sentinel-2 satellite and sparse waveform
 s recorded by NASA’s space-borne GEDI laser ranger. These observations w
 ere 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 a
 ssociated map of predictive uncertainty.\nMoreover\, I will give a short o
 verview over other Earth observation and environmental monitoring activiti
 es at ETH’s chair of Photogrammetry and Remote Sensing.\n\nKonrad Schind
 ler 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 a
 t the private industry and held researcher positions at Graz University of
  Technology\; Monash University (Melbourne\, Australia)\; and ETH Zürich\
 , Switzerland. He was an Assistant Professor of image understanding with T
 U Darmstadt\, Darmstadt\, Germany\, in 2009. Since 2010\, he has been a te
 nured Professor of photogrammetry and remote sensing with ETH Zürich. His
  research interests include computer vision\, machine learning\, remote se
 nsing and Earth observation.\n
LOCATION:FW 11\, William Gates Building. Zoom link: https://cl-cam-ac-uk.z
 oom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&amp\;from=addon 
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