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

My IGARSS 2020 Schedule

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Session Detail

Session Title MO2.R10: Remote Sensing for Forest and Vegetation Structure
Presentation Mode Virtual
Session Time Mon, 28 Sep, 14:30 - 16:30 UTC
Mon, 28 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Mon, 28 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Mon, 28 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsSaibun Tjuatja, University of Texas at Arlington and Haipeng Wang, Fudan University
MO2.R10.1: THE RELATIONSHIP BETWEEN CANOPY CLUMPING INDEX (CI), FRACTIONAL VEGETATION COVER (FVC), AND LEAF AREA INDEX (LAI): AN ANALYSIS OF GLOBAL SATELLITE PRODUCTS
         Hongliang Fang; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
         Sijia Li; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
         Yinghui Zhang; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
         Shanshan Wei; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
         Yao Wang; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
MO2.R10.2: INTEGRATING UAV AND LIDAR DATA FOR RETRIEVING TREE VOLUME OF HINOKI FORESTS
         Tatsuki Yoshii; Mie University
         Naoto Matsumura; Mie University
         Chinsu Lin; National Chiayi University
MO2.R10.3: STUDY ON UAV SENSED CANOPY LEAF DISTRIBUTION USING COMPUTER SIMULATION
         Haobo Wu; Peking University
         Siqi Yang; Peking University
         Jianbo Qi; Beijing Forestry University
         Ling Hu; Peking University
         Wenjie Fan; Peking University
MO2.R10.4: A FUZZY APPROACH TO INDIVIDUAL TREE CROWN DELINEATION IN UAV BASED PHOTOGRAMMETRIC MULTISPECTRAL DATA
         Aravind Harikumar; University of Toronto
         Petra D'Odorico; Swiss Federal Institute for Forest, Snow and Landscape Research
         Ingo Ensminger; University of Toronto
MO2.R10.5: MAPPING TREE CANOPY COVER AND CANOPY HEIGHT WITH L-BAND SAR USING LIDAR DATA AND RANDOM FORESTS
         Richard Chen; NASA Jet Propulsion Laboratory
         Naiara Pinto; NASA Jet Propulsion Laboratory
         Xueyang Duan; NASA Jet Propulsion Laboratory
         Alireza Tabatabaeenejad; University of Southern California
         Mahta Moghaddam; University of Southern California
MO2.R10.6: DOES REPEATED PRESCRIBED BURNING RESULT IN FOREST STRUCTURE SIMILAR TO THAT OF WILDFIRE? INSIGHT FROM ANALYSIS OF LIDAR DATA OF THE NEW JERSEY PINELANDS NATIONAL RESERVE
         Timothy Warner; West Virginia University
         Nicholas Skowronski; USDA Forest Service
         Inga La Pama; Rutgers University
MO2.R10.7: MULTISCALE MODEL OF MOVING VEGETATIVE CLUTTER IN ISAR IMAGING
         Jon Mitchell; University of Texas at Arlington
         Saibun Tjuatja; University of Texas at Arlington
MO2.R10.8: INITIAL TESTS FOR THE GENERATION OF A SPANISH NATIONAL MAP OF FOREST HEIGHT FROM TANDEM-X DATA
         Cristina Gomez; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
         Noelia Romero-Puig; University of Alicante
         Juan M. Lopez-Sanchez; University of Alicante
         Alejandro Mestre-Quereda; University of Alicante
         Jianjun Zhu; Central South University
         Haiqiang Fu; Central South University
         Wenjie He; Central South University
         Qinghua Xie; China University of Geosciences
MO2.R10.9: ESTIMATION OF STEM DENSITY IN HEMI-BOREAL FORESTS USING AIRBORNE LOW-FREQUENCY SYNTHETIC APERTURE RADAR
         Johan Fransson; Swedish University of Agricultural Sciences
         Jörgen Wallerman; Swedish University of Agricultural Sciences
         Henrik Persson; Swedish University of Agricultural Sciences
         Lars Ulander; Chalmers University of Technology
MO2.R10.10: DAMAGED TREES DETECTION USING THE EXPANSION OF DEEP LEARNING MODEL FROM UAV RGB IMAGES TO MULTISPECTRAL IMAGES
         Hwa-Seon Lee; Inha University
         Won-Woo Seo; Inha University
         Kyu-Sung Lee; Inha University
MO2.R10.11: DELINEATION OF INDIVIDUAL TREE CROWNS IN WORLDVIEW-3 SATELLITE IMAGERY WITH MULTISCALE FITTING METHOD
         Fei Tong; University of New Brunswick
         Yun Zhang; University of New Brunswick