FR1.R9.1: COUNTRY-SCALE MAPPING OF FOREST PARAMETERS USING DEEP LEARNING AND TANDEM-X INSAR DATA
Daniel Carcereri, Paola Rizzoli, Luca Dell’Amore, Jose-Luis Bueso-Bello, German Aerospace Center (DLR), Germany; Dino Ienco, National Research Institute for Agriculture, Food and the Environment (INRAE), France; Lorenzo Bruzzone, Universitá degli Studi di Trento, Italy
FR1.R9.2: TROPICAL FOREST HEIGHT INVERSION IN HAINAN PROVINCE OF CHINA USING THE CHINESE LUTAN-1 SPACEBORNE L-BAND BISTATIC SAR INTERFEROMETRY
Yang Lei, Yanghai Yu, Weiliang Li, Chinese Academy of Sciences, China; Anmin Fu, Jie Xu, National Forestry and Grass Administration, China; Jiancheng Shi, Chinese Academy of Sciences, China
FR1.R9.3: CANOPY HEIGHT ESTIMATION USING C- AND L-BAND INSAR COHERENCE OVER SAVANNAS AND DRY FORESTS
Narayanarao Bhogapurapu, Paul Siqueira, University of Massachusetts Amherst, United States; John Armston, Mikhail Urbazaev, University of Maryland, United States; Konrad Wessels, George Mason University, United States; Laura Duncanson, University of Maryland, United States
FR1.R9.4: STUDY OF TEMPORAL DECORRELATION OVER VEGETATED SOIL IN SUPPORT OF NISAR ECOSYSTEM SCIENCE
Chiara Telli, Sapienza University of Rome, Italy; Marco Lavalle, NASA Jet Propulsion Laboratory, California Institute of Technology, United States; Nazzareno Pierdicca, Sapienza University of Rome, Italy
FR1.R9.5: MAPPING LARGE-SCALE FOREST HEIGHT BY INTEGRATING TANDEM-X AND MULTI-SOURCE REMOTE SENSING DATA: A CASE STUDY OF SPAIN
Huacan Hu, Jianjun Zhu, Haiqiang Fu, Central South University, China; Juan M. Lopez-Sanchez, University of Alicante, Spain; Cristina Gómez, University of Valladolid, Spain; Yanzhou Xie, central south university, China
FR1.R9.6: A THEORETICAL AND EXPERIMENTAL ASSESSMENT OF THE USE OF PHASE HISTOGRAMS FOR SAR REMOTE SENSING OF FORESTED AREAS AT L-BAND
Chuanjun Wu, Wuhan University; Politecnico di Milano, China; Stefano Tebaldini, Politecnico di Milano, Italy; Mingsheng Liao, Wuhan University, China
