TUP.P43: Vegetation and Tree Remote Sensing

Session Type: Poster
Time: Tuesday, July 12, 17:20 - 19:00
Location: Third Floor, South Hall, Poster Area
 
TUP.P43.234: ANALYSIS OF THE POTENTIALITY OF MULTI-TEMPORAL COSMO-SKYMED® DATA FOR CLASSIFYING SUMMER CROPS
         Rocchina Guarini; Italian Space Agency
         Lorenzo Bruzzone; University of Trento
         Massimo Santoni; University of Trento
         Francesco Vuolo; University of Natural Resources and Life Sciences
         Luigi Dini; Italian Space Agency
 
TUP.P43.235: WINTER WHEAT EXTRACTION USING CURVILINEAR INTEGRAL OF GF-1 NDVI TIME SERIES
         Yanjun Yang; Nanjing University
         Yulin Zhan; Chinese Academy of Sciences
         Qingjiu Tian; Nanjing University
         Lei Wang; Nanjing University
         Peiyan Wang; Nanjing University
         Wenmin Zhang; Nanjing University
 
TUP.P43.236: THE VEGETATION CLASSIFICATION METHOD IN CHINA BASED ON GEOGRAPHICAL DIVISION
         Xiaobo Luo; Chongqing University of Posts and Telecommunications
         Yingying Hao; Chongqing University of Posts and Telecommunications
         Bo Zhong; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
 
TUP.P43.237: IMPROVING INDIVIDUAL TREE DELINEATION USING MULRIPLE-WAVELENGTH LIDAR DATA
         Baoxin Hu; York University
 
TUP.P43.238: DEVELOPMENT OF ACCURACY ASSESSMENT TOOL OF INDIVIDUAL TREE CROWN DELINEATION
         Zhen Zhen; Northeast Forestry University
         Yinghui Zhao; Northeast Forestry University
         Yuanshuo Hao; Northeast Forestry University
         Qingbin Wei; Environmental Monitoring Center Station of Heilongjiang Province
 
TUP.P43.239: SEISMIC VELOCITY PICKING BY HOPFIELD NEURAL NETWORK
         Kou-Yuan Huang; National Chiao Tung University
         Jia-Rong Yang; National Chiao Tung University