WEP1.PV.1
China’s annual forest age dataset at 30 m spatial resolution from 1986 to 2022
Rong Shang, Xudong Lin, Jing M. Chen, Fujian Normal University, China
Session:
WEP1.PV: Large-scale Forest Vertical Structure, Biophysical Parameters and Forest Change Mapping with the Fusion of Spaceborne Radar and Lidar/Optical Sensors I Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Wednesday, 6 August, 09:15 - 10:30
Presentation
Discussion
Resources
No resources available.
Session WEP1.PV
WEP1.PV.1: China’s annual forest age dataset at 30 m spatial resolution from 1986 to 2022
Rong Shang, Xudong Lin, Jing M. Chen, Fujian Normal University, China
WEP1.PV.2: Correctly estimating canopy transmittance: How to calibrate point cloud intensity?
Han Lu, Henan Academy of Sciences, China; Siqing Li, Capital Normal University, China
WEP1.PV.3: IMPROVING CARBON ACCUMULATION MONITORING OF EARLY-STAGE REFORESTATION WITH MULTI-SOURCE LIDAR DATA SETS: A CASE STUDY IN THE PHILIPPINES
Fellice Gabrielle Catelo, University of the Sunshine Coast, Australia
WEP1.PV.4: RESEARH ON RAPID AND ACCURATE ESTIMATION OF PLANTED EUCALYPUS FORESTS BASED ON UAV AND LIDAR DATA FUSION
Bin Wen, North China Institute of Aerospace Engineering, China; Xingyu Shen, Southwest jiaotong university, China; Wei Luo, Qi Su, North China Institute of Aerospace Engineering, China; Yungang Cao, Southwest Jiaotong University, China
WEP1.PV.5: Forest Aboveground Biomass Dynamics from Synergistic Use of Active and Passive Sensors
Mark Chopping, Montclair State University, United States; Zhuosen Wang, University of Maryland, United States; Crystal Schaaf, University of Massachusetts, United States; Michael Bull, NASA / Caltech, United States
WEP1.PV.6: MAPPING BAMBOO CANOPY HEIGHT MAP USING RANDOM FOREST ALGORITHM AND BY SYNERGIZING SENTINEL 1 AND SPACE BORNE LIDAR DATA
Muna Tamang, ICFRE-Rain Forest Research Institute, Jorhat, India; Subrata Nandy, Indian Institute of Remote Sensing, ISRO, India
Resources
No resources available.