TUP.PK: Forest Vegetation II

Session Type: Poster
Time: Tuesday, July 28, 17:20 - 19:00
Location: Poster Area K
Session Chair: Enrico Borgogno Mondino, Univ. of Torino
 
TUP.PK.1: IMPROVING SPACE-TIME FOREST CANOPY LAI SIMULATION BY FUSING FOREST GROWTH MODEL (3-PG) WITH REMOTE SENSING DATA
         Qiaoli Wu; Beijing Normal University
         Jinling Song; Beijing Normal University
         Jindi Wang; Beijing Normal University
 
TUP.PK.2: MAPPING AERODYNAMIC ROUGHNESS LENGTH WITH MULTI-SOURCE REMOTE SENSING DATA
         Deyong Hu; Capital Normal University
         Xiaoxuan Li; National Earthquake Infrastructure Service
         Kun Qiao; Capital Normal University
         Guohua Ji; Capital Normal University
 
TUP.PK.3: A MULTIDISCIPLINARY APPROACH FOR ASSESSING FOREST DEGRADATION IN THE BRAZILIAN AMAZON
         Rosana Cristina Grecchi; Joint Research Centre of the European Commission
         René Beuchle; Joint Research Centre of the European Commission
         Yosio Edemir Shimabukuro; Brazilian National Institute for Space Research - INPE
         Frédéric Achard; Joint Research Centre of the European Commission
 
TUP.PK.4: PRELIMINARY VALIDATION AND APPLICATION OF THE ANGLE PRODUCTS OF MODIS AFX BASED ON KERNEL-DRIVEN MODEL
         Xiaoning Zhang; School of Geography, Beijing Normal University
         Ziti Jiao; School of Geography, Beijing Normal University;State Key Laboratory of Remote Sensing Science, Beijing Normal University
         Yang Li; School of Geography, Beijing Normal University
         Yadong Dong; School of Geography, Beijing Normal University
         Dongni Bai; School of Geography, Beijing Normal University
 
TUP.PK.5: RESEARCH ABOUT THE BIDIRECTIONAL NDVI BASED ON KERNEL-DRIVEN MODELS
         Yang Li; State Key Laboratory of Remote Sensing Science, Research Center of Remote Sensing & GIS, School of Geography, Beijing Normal University
         Ziti Jiao; State Key Laboratory of Remote Sensing Science, Research Center of Remote Sensing & GIS, School of Geography, Beijing Normal University
         Xiaoning Zhang; State Key Laboratory of Remote Sensing Science, Research Center of Remote Sensing & GIS, School of Geography, Beijing Normal University
         Hu Zhang; State Key Laboratory of Remote Sensing Science, Research Center of Remote Sensing & GIS, School of Geography, Beijing Normal University
         Yadong Dong; State Key Laboratory of Remote Sensing Science, Research Center of Remote Sensing & GIS, School of Geography, Beijing Normal University
 
TUP.PK.6: EXTRACTION AND APPLICATION OF LEAF AREA INDEX’S PRIORI KNOWLEDGE IN TIME SERIES FOR TYPICAL CROPS
         Shaoyuan Chen; Beijing Normal University
         Hua Yang; Beijing Normal University
         Jingjing Pan; Beijing Normal University
         Ying Zeng; Capital Normal University
         Xiaolong Wang; Capital Normal University
         Fei Chen; Beijing Normal University
 
TUP.PK.7: INDIRECT MEASUREMENT OF FOREST LEAF AREA INDEX USING PATH LENGTH MODEL AND MULTISPECTRAL CANOPY IMAGER
         Ronghai Hu; Beijing Normal University
         Jinghui Luo; Beijing Normal University
         Guangjian Yan; Beijing Normal University
         Jie Zou; Fuzhou University
 
TUP.PK.8: ASSESSING THE ACCURUCIES OF FOUR PAI INVERSION MODELS BASED ON 3D FOREST SCENES
         Zou Jie; Fuzhou University
         Mai Chunna; Fuzhou University
         Lin Weimu; Fuzhou University
         Zhuang Yinguo; Fuzhou University
 
TUP.PK.9: COMBINING AVAILABLE LAND COVER AND TREE COVER MAPS FOR PRODUCING A HYBRID FOREST MAP OF AFRICA AT 30M
         Christelle Vancutsem; Joint Research Centre
         Frédéric Achard; Joint Research Centre
 
TUP.PK.10: SOLAR RADIATION CONTRIBUTED TO THE 2005 AND 2010 AMAZON DROUGHTS
         Wenqian Zhao; Beijing Normal University
         Xiang Zhao; Beijing Normal University
         Bijian Tang; Beijing Normal University
         Donghai Wu; Beijing Normal University
         Hong Wei; Beijing Normal University
 
TUP.PK.11: RETRIEVING THE STAND AGE FROM A RETROSPECTIVE DETECTION OF MULTINANNUAL FOREST CHANGES USING LANDSAT DATA. APPLICATION ON THE HEAVILY MANAGED MARITIME PINE FOREST IN SOUTHWESTERN FRANCE FROM A 30-YEAR LANDSAT TIME-SERIES (1984-2014)
         Dominique Guyon; INRA
         Sylvio Laventure; INRA
         Thierry Bélouard; Département de la santé des forêts (MAAF/DGAL)
         Jean-Charles Samalens; Telespazio France
         Jean-Pierre Wigneron; INRA