IEEE GRSS
First Slide
2026 IEEE International Geoscience and Remote Sensing Symposium
9 - 14 August 2026 • Washington, D.C.
MO4.R14: Characterize Forest Carbon Density Dynamics using 3D Remote Sensing Technology
Monday, 10 August, 16:15 - 17:30
Location: Jefferson East
Session Type: Oral
Session Co-Chairs: Yong Pang, Institute of Forest Resource Information Techniques and wenjian ni, Aerospace Information Research Institute, Chinese Academy of Sciences
Track: Community Contributed Themes
Mon, 10 Aug, 16:15 - 16:30

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
Mon, 10 Aug, 16:30 - 16:45

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
Mon, 10 Aug, 16:45 - 17:00

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
Mon, 10 Aug, 17:00 - 17:15

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
Mon, 10 Aug, 17:15 - 17:30

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