Dr. Marie Weiss, a primary research scientist from the French National Institute of Agronomical Research (INRA), gave a talk entitled "Derivation of global vegetation products from European medium resolution sensors," on March 20, 2019, during her visit to the Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS). This visit was supported by the International Fellowship Initiative, IGSNRR, CAS.
Dr. Weiss received her PhD from Université de Nice Sophia-Antipolis in 1998 and is now a primary scientist at INRA. Her main research interest is the estimation of biophysical variables such as LAI and fAPAR based on remote sensing data at satellite, UAV, and ground levels. She has been working on the development of operational products using data from European VEGETATION, PROBAV, and SENTINEL-2 satellites.
During the talk, Dr. Weiss introduced different algorithms to derive operational global vegetation products from medium (VEGETATION, POLDER, MERIS) and high resolution (SENTINEL-2) European sensors. After a brief introduction of the various activities of the agricultural remote sensing team at INRA, she introduced several accomplishments in leaf area index (LAI) product development, including information about machine learning techniques, temporal composition methods, and product validation. About 30 researchers and postgraduates attended the lecture hosted by Prof. FANG Hongliang.
Dr. Marie Weiss speaks at IGSNRR