MO4.R14.5
FOREST HEIGHT ESTIMATION USING UPDATED GEDI SLOPE-ADAPTIVE METRICS
wenjian ni, chuan wang, tianyu yu, Zhiyu Zhang, Zhifeng Guo, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Session:
MO4.R14: Characterize Forest Carbon Density Dynamics using 3D Remote Sensing Technology Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Mon, 10 Aug, 17:15 - 17:30
Session Co-Chairs:
Yong Pang, Institute of Forest Resource Information Techniques and wenjian ni, Aerospace Information Research Institute, Chinese Academy of Sciences
Presentation
Discussion
Resources
No resources available.
Session MO4.R14
MO4.R14.1: THE DEVELOPMENT OF SPACEBORNE LIDAR TOWARDS GLOBAL FOREST CARBON MAPPING
Yong Pang, Zengyuan Li, Tao Yu, Cangjiao Wang, Institute of Forest Resource Information Techniques, China
MO4.R14.2: Enhancing above-ground biomass density estimates in tropical forests using GEDI waveform data
Wenge Ni-Meister, Alejandro Rojas, Ian Grant, Hunter College of The City University of New York, United States
MO4.R14.3: EVALUATION OF SPACEBORNE LIDAR WAVEFORM CHARACTERISTICS SUPPORTED BY LARGE-SCALE FOREST "3D" REAL SCENE
anmin fu, Academy of Inventory and Planning, National Forestry and Grassland Administration, China
MO4.R14.4: Improving the Spatial Continuity of GEDI Aboveground Biomass Density Products using Multisource Remote Sensing Data with Consideration of Spatial Correlation and Heterogeneity
Wankun Min, Wenli Huang, Yumin Chen, Rui Xu, Lanhu Bao, Wuhan University, China
MO4.R14.5: FOREST HEIGHT ESTIMATION USING UPDATED GEDI SLOPE-ADAPTIVE METRICS
wenjian ni, chuan wang, tianyu yu, Zhiyu Zhang, Zhifeng Guo, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Contacts