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
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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