Annual Monitoring of Forest AGB over a Period of 10 years Using SSL-derived Representations from Optical Time Series

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• Clement ATZBERGER, Mantle Lab's Co-found and Chief Scientist
• Friday 28 June 2024, 13:00-14:00
• FW11, William Gates Building. Zoom link: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon .

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I recap the functioning of our fully self-supervised learning pipeline based on the spectral-temporal Barlow Twins. The SSL approach generates highly informative representations at 10m spatial resolution from cloud-corrupted optical time series. The resulting representations are well correlated with GEDI -derived relative height measurements so that an AGB model for vegetation/forest of up to 300-500 t/ha can be derived. I show that the model transfers well between years making it possible to train the model on (for example) one year of Sentinel-2 data together with the corresponding GEDI measurements, and applying the frozen model to Landsat data acquired in previous years.

Bio:

2010-2023: Full Professor for Remote Sensing/Geomatics – since 2016 Lead of Mantle’s research team

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

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• FW11, William Gates Building. Zoom link: https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&from=addon
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