Technical Program

Session Detail

Session Title TU2.R6: Forest Methods using Optical Sensors
Presentation Mode Oral
Session Time Tuesday, 30 July, 10:40 - 12:20
Location Room 411-412
Session ChairsYun Yang, University of Maryland and Jialin Wang, Wuhan University

TU2.R6.1: USING DAILY STAND-SCALE EVAPOTRANSPIRATION (ET) ESTIMATED FROM REMOTELY SENSED DATA TO INVESTIGATE DROUGHT IMPACT ON ET IN A TEMPORATE FOREST IN THE CENTRAL US
         Yun Yang; University of Maryland
         Martha Anderson; USDA Agricultural Research Service
         Feng Gao; USDA Agricultural Research Service
         Christopher Hain; National Aeronautics and Space Administration (NASA)
         Jeffrey Wood; University of Missouri
         Lianhong Gu; Oak Ridge of National Lab

TU2.R6.2: SEASONAL CONTRIBUTIONS OF UNDERSTORY TO FOREST REFLECTANCE FOR SIX FOREST TYPES IN CHINA
         Jing Zhao; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Jing Li; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Qinhuo Liu; Institute of Remote Sensing and Digital Earth, Chinese Academy of Science / University of Chinese Academy of Sciences
         Wentao Yu; Institute of Remote Sensing and Digital Earth, Chinese Academy of Science / University of Chinese Academy of Sciences

TU2.R6.3: SIMULATING SPECTRAL IMAGES WITH LESS MODEL THROUGH A VOXEL-BASED PARAMETERIZATION OF AIRBORNE LIDAR DATA
         Jianbo Qi; Beijing Normal University
         Donghui Xie; Beijing Normal University
         Guangjian Yan; Beijing Normal University
         Jean-Philippe Gastellu-Etchegorry; Universit√© de Toulouse

TU2.R6.4: CLASSIFICATION OF FOREST VEGETATION TYPE USING FUSED NDVI TIME SERIES DATA BASED ON STNLFFM
         Jialin Wang; Wuhan University
         Xiaobin Cai; Chinese Academy of Sciences
         Xiaoling Chen; Wuhan University
         Zhan Zhang; Wuhan University
         Linling Tang; Wuhan University

TU2.R6.5: SENSITIVITY OF VEGETATION SHORTWAVE ALBEDO TO TOPOGRAPHY
         Dalei Hao; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Jianguang Wen; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Qing Xiao; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Wentao Yu; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences