IGARSS 2026 || Washington, D.C. || 9

TH3.R18: Remote sensing for generating robust datasets for forest health assessment and management planning (3/3)

Thursday, 13 August, 13:45 - 15:00

Location: Monroe

Session Type: Oral

Track: Community Contributed Themes

Thu, 13 Aug, 13:45 - 14:00

TH3.R18.1: ATTENTION-ENHANCED DEEP LEARNING FOR DBH ESTIMATION FROM TREE LIDAR POINT CLOUDS

Hang Zhao, University of Kansas, United States; Jingjing Qiang, Royal Melbourne Institute of Technology, Australia

Thu, 13 Aug, 14:00 - 14:15

TH3.R18.2: COMPARING ABOVEGROUND BIOMASS (AGB) ESTIMATION MODELS USING MULTI-SOURCE LIDAR AND SENTINEL-2 DATA

Chenye Zhang, Parinaz Rahimzadeh-Bajgiran, Daniel Hayes, University of Maine, United States

Thu, 13 Aug, 14:15 - 14:30

TH3.R18.3: MANGO: A Global Single-Date Paired Dataset for Mangrove Segmentation

Junhyuk Heo, Beomkyu Choi, Hyunjin Shin, Darongsae Kwon, TelePIX, Korea (South)

Thu, 13 Aug, 14:30 - 14:45

TH3.R18.5: An Open-Source Workflow for Building Voxelized Models of Forests with Airborne Lidar and Hyperspectral Data

Kyla Dahlin, Meicheng Shen, Alanna Post, T. Renae Gizzo, Anthony Bowman, Michigan State University, United States; Aaron Kamoske, USDA Forest Service, United States; Zachary Butterfield, Michigan State University, United States; Adriana Uscanga, University of Minnesota, United States; Courtney Ross, Sandhya Sharma, Madelyn Immoos, Scott Stark, Michigan State University, United States; Shawn Serbin, NASA Goddard Space Flight Center, United States