TH1.L5: The Potential Multifrequency Microwave Satellite Data for the Monitoring of Vegetation Biomass I

Session Type: Oral
Time: Thursday, July 14, 08:20 - 10:00
Location: Room 301A+B
Session Chairs: Simonetta Paloscia, National Research Council - Institute of Applied Physics (CNR-IFAC) and Jiancheng Shi, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
 
08:20 - 09:00
TH1.L5.1: MULTIFREQUENCY MICROWAVE EMISSION FOR ESTIMATING OPTICAL DEPTH AND VEGETATION BIOMASS
         Simonetta Paloscia; CNR-IFAC
         Emanuele Santi; CNR-IFAC
         Paolo Pampaloni; CNR-IFAC
         Simone Pettinato; CNR-IFAC
 
09:00 - 09:20
TH1.L5.3: MEDITERRANEAN SHRUBLANDS BIOMASS ESTIMATION USING SENTINEL-1 AND SENTINEL-2
         Jisung Chang; Technion - Israel Institute of Technology
         Maxim Shoshany; Technion - Israel Institute of Technology
 
09:20 - 09:40
TH1.L5.4: RETRIEVAL OF FOREST ABOVEGROUND BIOMASS THROUGH THE SYNERGY OF X-BAND (TERRASAR-X/TANDDEM-X) AND L-BAND (PALSAR-2) INSAR DATA
         Wenjian Ni; Chinese Academy of Sciences
         Guoqing Sun; University of Maryland
         Zhiyu Zhang; Chinese Academy of Sciences
         Huina Yu; Shan Dong University of Science and Technology
 
09:40 - 10:00
TH1.L5.5: BIOMASS ESTIMATION OF OILSEED RAPE USING SIMULATED COMPACT POLARIMTRIC SAR IMAGERY
         Hao Yang; Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences
         Lei Xie; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Erxue Chen; Institute of Forest Resource Information Techniques, Chinese Academy of Forestry
         Hong Zhang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Guijun Yang; Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences
         Zhenhong Li; School of Civil Engineering and Geosciences, Newcastle University
         Xiaohe Gu; Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences