WE2.R18.5
TREE SPECIES DETECTION IN BOREAL FORESTS USING YOLOV8 ON HIGH-RESOLUTION UAV-DERIVED DATA
Esra Sengun, Linnaeus University; Samet Aksoy, Elif Sertel, Istanbul Technical University; Johan E.S. Fransson, Linnaeus University
Session:
WE2.R18: Forest and Vegetation IV Oral
Track:
Land Applications
Location:
Monroe
Presentation Time:
Wednesday, 12 August, 12:00 - 12:15
Session Co-Chairs:
Melba M. Crawford, Purdue University and Sergio Vitale, University of Naples Parthenope
Presentation
Discussion
Resources
No resources available.
Session WE2.R18
WE2.R18.1: Sensitivity of VOD-Based Vegetation Water Pool Estimates to Structural Parameterization in Reference Vegetation Water Storage Datasets
Duncan Jurayj, Jessica Fayne, University of Michigan
WE2.R18.2: ASSESSMENT OF GRAZINGLAND LEAF AREA INDEX FROM HARMONIZED LANDSAT–SENTINEL-2 (HLS) DATA USING FIELD MEASUREMENTS IN OKLAHOMA
Haoteng Zhao, George Mason University; Feng Gao, Martha Anderson, USDA ARS; Isabella Maciel, Noble Research Institute LLC; Jisung Geba Chang, Erika Peirce, USDA ARS; Sean Kearney, Thunder Basin Grasslands Prairie Ecosystem Association; Liping Di, George Mason University
WE2.R18.3: A ROBUST AND EFFICIENT FRAMEWORK FOR FOREST STRUCTURE RETRIEVAL: VALIDATING ML FRAMEWORK ACROSS DIVERSE OBSERVATION SCENARIOS
Francesca Razzano, Wenyu Yang, Sergio Vitale, Giampaolo Ferraioli, University of Naples Parthenope; Silvia Ullo, University of Sannio; Gilda Schirinzi, University of Naples Parthenope
WE2.R18.4: A SPECTRAL FIDELITY PRESERVING PAN SHARPENING NEW FUSION FRAMEWORK FOR VEGETATION MONITORING
Md Rifat Hossain, Melba M. Crawford, Bryan C. Pijanowski, Purdue University
WE2.R18.5: TREE SPECIES DETECTION IN BOREAL FORESTS USING YOLOV8 ON HIGH-RESOLUTION UAV-DERIVED DATA
Esra Sengun, Linnaeus University; Samet Aksoy, Elif Sertel, Istanbul Technical University; Johan E.S. Fransson, Linnaeus University
Resources
No resources available.