2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

TU2.R10.4

AN FPAR RETRIEVAL ALGORITHM BASED ON DEEP LEARNING FOR MODIS VISIBLE BAND SURFACE REFLECTANCE

Huijuan Gao, Xirong Liu, Weiyan Wang, Shandong University of Science and Technology, China
Session:
Remote Sensing for Forest and Vegetation Structure, Health and Growth I
Track:
Land Applications
Presentation Time:
Tue, 29 Sep, 15:00-15:10 (UTC)
Tue, 29 Sep, 23:00-23:10 China Standard Time (UTC +8)
Tue, 29 Sep, 17:00-17:10 Central Europe Summer Time (UTC +2)
Tue, 29 Sep, 08:00-08:10 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Simonetta Paloscia, National Research Council and Alireza Tabatabaeenejad, U. Southern California
Session Managers:
Maryam Salim and Na Liu

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Session

TU2.R10.1: Spatial-temporal prediction of vegetation index with a convolutional GRU network
Wentao Yu, Jing Li, Qinhuo Liu, Aerospace Information Research Institute, Chinese Academy of Sciences, China
TU2.R10.2: DEVELOPMENT OF GREENNESS ANALYSIS TOOL USING REMOTE SENSING SATELLITE IMAGES
Kazi A Kalpoma, Mohammad Leman, Md. Toufiqul Islam, Shaishab Poddar, Jebon Ahmed, Ahsanullah University of Science and Technology, Bangladesh
TU2.R10.3: A METHOD FOR IMPROVING THE ACCURACY OF THE MODERATE RESOLUTION LAI PRODUCT BASED ON THE MIXED-PIXEL CLUMPING INDEX
Yadong Dong, Jing Li, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Ziti Jiao, Beijing Normal University, China; Qinhuo Liu, Jing Zhao, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Hu Zhang, Tianjin Normal University, China
TU2.R10.4: AN FPAR RETRIEVAL ALGORITHM BASED ON DEEP LEARNING FOR MODIS VISIBLE BAND SURFACE REFLECTANCE
Huijuan Gao, Xirong Liu, Weiyan Wang, Shandong University of Science and Technology, China
TU2.R10.5: THE RESEARCH OF LEAF AREA INDEX ANALYZER BASED ON EMBEDDED PLATFORM
Peicheng Wang, Bo Gao, Xun Gong, Ling Tong, School of Automation Engineering, University of Electronic Science and Technology of China, China; Yuan Sun, Xingfa Gu, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China
TU2.R10.6: LAI INVERSION FROM MODIS DATA USING DEEP BELIEF NETWORK (DBN)
Weiyan Wang, Chen Jia, Huijuan Gao, Shandong University of Science and Technology, China
TU2.R10.7: RESEARCH ON THE OPTICAL METHOD OF LEAF AREA INDEX MEASUREMENT BASE ON THE HEMISPHERICAL IMAGE
Xing Zhou, Ling Tong, Peicheng Wang, Xun Gong, Yuxia Li, Bo Gao, School of Automation Engineering, University of Electronic Science and Technology of China, China; Yuan Sun, Xingfa Gu, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China
TU2.R10.8: ANNUAL GRASS BIOMASS MAPPING WITH LANDSAT-8 AND SENTINEL-2 DATA OVER KRUGER NATIONAL PARK, SOUTH AFRICA
Christian Berger, Harald Lux, Marcel Urban, Christiane Schmullius, Jussi Baade, University of Jena, Germany; Christian Thiel, German Aerospace Center (DLR), Germany; Corli Wigley-Coetsee, Izak Smit, South African National Parks (SANParks), South Africa
TU2.R10.9: GENERATION OF LIDAR-PREDICTED FOREST BIOMASS MAPS FROM RADAR BACKSCATTER WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
Sara Björk, Stian Normann Anfinsen, UiT The Arctic University of Norway, Norway; Erik Næsset, Terje Gobakken, Norwegian University of Life Sciences, Norway; Eliakimu Zahabu, Sokoine University of Agriculture, Tanzania
TU2.R10.10: ESTIMATION OF GLOBAL NET PRIMARY PRODUCTIVITY FROM 1981 TO 2018 WITH REMOTE SENSING DATA
Rui Sun, Juanmin Wang, Zhiqiang Xiao, Anran Zhu, Mengjia Wang, Tao Yu, Beijing Normal University, China
TU2.R10.11: FOREST ABOVE GROUND BIOMASS ESTIMATION USING MULTI-SENSOR GEOSTATISTICAL APPROACH
Mohamed Musthafa S, Gulab Singh, Akshay Patil, Nela Bala Raju, Shradha Mohanty, Indian Institute of Technology Bombay, India
TU2.R10.12: TREE SPECIES CLASSIFICATION USING LEAF AND TREE TRUNK IMAGES
Kenta Itakura, Teruhito Hata, Fumiki Hosoi, University of Tokyo, Japan