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My IGARSS 2016 Schedule

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THP.P4: Computational Techniques in Agriculture

Session Type: Poster
Time: Thursday, July 14, 17:20 - 19:00
Location: Third Floor, South Hall, Poster Area
 
  THP.P4.16: OBJECT-BASED SEGMENTATION AND CLASSIFICATION FOR QUANTIFICATION OF AZERBAIJAN GROSS AND NET LAND-COVER CHANGES DURING 2014-2015 USING MULTI-TEMPORAL LANDSAT-8 OLI SATELLITE IMAGES
         Emil Bayramov; Dresden University of Technology
         Manfred Buchroithner; Dresden University of Technology
         Rafael Bayramov; Baku State University
 
  THP.P4.17: BIAS ANALYSIS IN VALIDATION OF MODIS LAI PRODUCT: A CASE STUDY IN CROPLAND OF HUAILAI, NORTHERN CHINA
         Fu Lizhe; Beijing Normal University
         Qu Yonghua; Beijing Normal University
         Wang Jindi; Beijing Normal University
 
  THP.P4.18: ASSIMILATION OF REMOTELY SENSED CANOPY VARIABLES INTO CROP MODELS FOR AN ASSESSMENT OF DROUGHT-RELATED YIELD LOSSESS: A COMPARSION OF MODELS OF DIFFERENT COMPLEXITY
         Raffaele Casa; University of Tuscia
         Paolo Cosmo Silvestro; University of Tuscia
         Hao Yang; Beijing Academy of Agriculture and Forestry Sciences
         Stefano Pignatti; CNR
         Simone Pascucci; CNR
         Guijun Yang; Beijing Academy of Agriculture and Forestry Sciences
 
  THP.P4.19: GLOBAL SENSITIVITY ANALYSIS OF WINTER WHEAT YIELD AND PROCESS-BASED VARIABLE WITH AQUACROP MODEL
         Huimin Xing; China University of Mining and Technology
         Xingang Xu; Beijing Research Center for Information Technology in Agriculture
         Fuqin Yang; China University of Mining and Technology
         Haikuan Feng; Beijing Research Center for Information Technology in Agriculture
         Guijun Yang; China University of Mining and Technology
 
  THP.P4.20: POST STRATIFICATION ASSESSMENT OF THE NASS AUTOMATED STRATIFICATION METHOD BASED ON THE CROPLAND DATA LAYER
         Claire Boryan; U.S. Department of Agriculture - National Agricultural Statistics Service
         Zhengwei Yang; U.S. Department of Agriculture - National Agricultural Statistics Service
         Robert Seffrin; U.S. Department of Agriculture - National Agricultural Statistics Service
 
  THP.P4.21: MONITORING OF RICE PHENOLOGY AND AGRICULTURAL PRACTICES FROM HIGH RESOLUTION REMOTE SENSING DATA
         Dominique Courault; UMR 1114 EMMAH INRA
         Françoise Ruget; UMR 1114 EMMAH INRA
         Halima Talab-Ou-Ali; UMR 1114 EMMAH INRA
         Olivier Hagolle; Centre d'Études Spatiales de la BIOsphère (CESBIO)
         Sylvestre Delmotte; UMR 951 innovation
         Jean-Marc Barbier; UMR 951 innovation
         Mirco Boschetti; IREA-CNR
         Jean-Claude Mouret; UMR 951 innovation