BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Talks.cam//talks.cam.ac.uk// X-WR-CALNAME:Talks.cam BEGIN:VEVENT SUMMARY:AI-Refined Radiative Transfer Modelling to Retrieve Biophysical Va riables in Forests - Yihang She\, University of Cambridge DTSTART:20240223T130000Z DTEND:20240223T140000Z UID:TALK208816@talks.cam.ac.uk CONTACT:114742 DESCRIPTION:Recent advancements in machine learning\, combined with the av ailability of vast remote sensing data\, have led to significant progress in ecology and climate science. However\, the lack of interpretability in learned representations limits their application to crucial environmental challenges. Understanding the biophysical properties of forests\, for inst ance\, is essential in comprehending their role in mitigating climate chan ge. In the field of remote sensing\, scientists have attempted to retrieve the biophysical variables by inverting the radiative transfer models (RTM s). However\, classical approaches overlook the presence of systematic bia s in RTMs\, which is particularly problematic when extracting variables fr om complex forest structures. Motivated by physics-informed machine learni ng and disentangled representation learning\, we propose an innovative app roach that integrates the RTM with an auto-encoder-based architecture. Our approach integrates an RTM into a contemporary machine-learning framework and effectively corrects its bias\, resulting in improved variable extrac tion. The developed pipeline holds broad applicability in other machine-le arning problems involving physical models. Our research advances the integ ration of RTMs and machine learning\, enabling more accurate analysis of r emote sensing data and facilitating a better understanding of forest bioph ysical properties.\n\nYihang She is a first-year PhD student in Computer s cience at the University of Cambridge. His PhD focuses on the development of 3D vision algorithms to enable real-time and low-cost forest carbon est imation. LOCATION:FW11\, William Gates Building. Zoom link: https://cl-cam-ac-uk.zo om.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&\;from=addon END:VEVENT END:VCALENDAR