MO2.R10.3

STUDY ON UAV SENSED CANOPY LEAF DISTRIBUTION USING COMPUTER SIMULATION

Haobo Wu, Siqi Yang, Peking University, China; Jianbo Qi, Beijing Forestry University, China; Ling Hu, Wenjie Fan, Peking University, China

Session:
Remote Sensing for Forest and Vegetation Structure

Track:
Land Applications

Presentation Time:
Mon, 28 Sep, 14:50-15:00 (UTC)
Mon, 28 Sep, 22:50-23:00 China Standard Time (UTC +8)
Mon, 28 Sep, 16:50-17:00 Central Europe Summer Time (UTC +2)
Mon, 28 Sep, 07:50-08:00 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Saibun Tjuatja, University of Texas at Arlington and Haipeng Wang, Fudan University
Session Managers:
Arunima Singh and Mohammad Al-Khaldi

Presentation

Discussion

Resources

Session

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, Sijia Li, Yinghui Zhang, Shanshan Wei, Yao Wang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China
MO2.R10.2: INTEGRATING UAV AND LIDAR DATA FOR RETRIEVING TREE VOLUME OF HINOKI FORESTS
Tatsuki Yoshii, Naoto Matsumura, Mie University, Japan; Chinsu Lin, National Chiayi University, Taiwan
MO2.R10.3: STUDY ON UAV SENSED CANOPY LEAF DISTRIBUTION USING COMPUTER SIMULATION
Haobo Wu, Siqi Yang, Peking University, China; Jianbo Qi, Beijing Forestry University, China; Ling Hu, Wenjie Fan, Peking University, China
MO2.R10.4: A Fuzzy Approach to Individual Tree Crown Delineation in UAV based Photogrammetric Multispectral Data
Aravind Harikumar, University of Toronto, Canada; Petra D'Odorico, Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland; Ingo Ensminger, University of Toronto, Canada
MO2.R10.5: MAPPING TREE CANOPY COVER AND CANOPY HEIGHT WITH L-BAND SAR USING LIDAR DATA AND RANDOM FORESTS
Richard Chen, Naiara Pinto, Xueyang Duan, NASA Jet Propulsion Laboratory, United States; Alireza Tabatabaeenejad, Mahta Moghaddam, University of Southern California, United States
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, United States; Nicholas Skowronski, USDA Forest Service, United States; Inga La Pama, Rutgers University, United States
MO2.R10.7: Multiscale Model of Moving Vegetative Clutter in ISAR Imaging
Jon Mitchell, Saibun Tjuatja, University of Texas at Arlington, United States
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, Spain; Noelia Romero-Puig, Juan M. Lopez-Sanchez, Alejandro Mestre-Quereda, University of Alicante, Spain; Jianjun Zhu, Haiqiang Fu, Wenjie He, Central South University, China; Qinghua Xie, China University of Geosciences, China
MO2.R10.9: ESTIMATION OF STEM DENSITY IN HEMI-BOREAL FORESTS USING AIRBORNE LOW-FREQUENCY SYNTHETIC APERTURE RADAR
Johan Fransson, Jörgen Wallerman, Henrik Persson, Swedish University of Agricultural Sciences, Sweden; Lars Ulander, Chalmers University of Technology, Sweden
MO2.R10.10: DAMAGED TREES DETECTION USING THE EXPANSION OF DEEP LEARNING MODEL FROM UAV RGB IMAGES TO MULTISPECTRAL IMAGES
Hwa-Seon Lee, Won-Woo Seo, Kyu-Sung Lee, Inha University, Korea (South)
MO2.R10.11: Delineation of Individual Tree Crowns in WorldView-3 Satellite Imagery with Multiscale Fitting Method
Fei Tong, Yun Zhang, University of New Brunswick, Canada