TUP.P12: Data Fusion Applications: Vegetation

Session Type: Poster
Time: Tuesday, July 12, 17:20 - 19:00
Location: Third Floor, South Hall, Poster Area
Session Chair: Feng Gao, United States Department of Agriculture
 
TUP.P12.59: ESTIMATING BOREAL FOREST CANOPY HEIGHT AND ABOVE GROUND BIOMASS USING MULTI-MODAL REMOTE SENSING; A DATABASE DRIVEN APPROACH
         Michael Benson; University of Michigan
         Leland Pierce; University of Michigan
         Kamal Sarabandi; University of Michigan
 
TUP.P12.60: ESTIMATING THE THREE DIMENSIONAL STRUCTURE OF HETEROGENEOUS FORESTS USING MULTI-MODAL REMOTE SENSING AND SENSOR EXTRAPOLATION TECHNIQUES
         Michael Benson; University of Michigan
         Leland Pierce; University of Michigan
         Kamal Sarabandi; University of Michigan
 
TUP.P12.61: RESEARCH ON YIELDS ESTIMATION AND YIELDS INCREASING POTENTIAL BY IRRIGATION OF SPRING MAIZE IN NORTHEAST CHINA
         Shanning Bao; State Key Laboratory of Remote Sensing Science
         Chunxiang Cao; State Key Laboratory of Remote Sensing Science
         Jianxi Huang; China Agricultural University
         Xiliang Ni; State Key Laboratory of Remote Sensing Science
         Min Xu; State Key Laboratory of Remote Sensing Science
 
TUP.P12.62: FUSION OF SCIAMACHY AND GOME-2 SATELLITE SUN-INDUCED FLUORESCENCE DATA
         Lian Song; Nanjing University
         Yongguang Zhang; Nanjing University
         Xin Qian; Nanjing University
 
TUP.P12.63: QUANTIFYING UNCERTAINTIES IN EVAPOTRANSPIRATION ASSIMILATION USING GENERALIZED GAUSSIAN DISTRIBUTION
         Shaohui Chen; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
         Shen Zhao; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
         Hongbo Su; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
         Jing Tian; Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences