TH1.R18.5
FIRE-WISE EVALUATION OF DEEP LEARNING AND SPECTRAL INDEX METHODS FOR PRESCRIBED BURN AREA MAPPING
Mahmad Isaq Karankot, Dr. Bradley Whitaker, Montana State University, United States
Session:
TH1.R18: Remote sensing for generating robust datasets for forest health assessment and management planning (1/3) Oral
Track:
Community Contributed Themes
Location:
Monroe
Presentation Time:
Thursday, 13 August, 09:30 - 09:45
Session Co-Chairs:
Parinaz Rahimzadeh, University of Maine and Pulakesh Das, M.P. State Electronics Development Corporation
Presentation
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Session TH1.R18
TH1.R18.1: OPTIMIZING FOREST DEFOLIATION DETECTION USING REMOTE SENSING DATA: A MULTI–RESOLUTION APPROACH USING MACHINE LEARNING ALGORITHMS
Rajeev Bhattarai, Mississippi State University, United States; Parinaz Rahimzadeh, University of Maine, United States
TH1.R18.2: QUANTIFYING THE IMPACTS OF ELEPHANTS ON SAVANNA TREE BIOMASS DENSITY AND CARBON STOCKS USING ALOS2 SCANSAR TIME-SERIES DATA.
Konrad Wessels, George Mason University, United States; Mike Peel, Agricultural Research Council, South Africa; Izak Smit, South African National Parks, South Africa; John Armston, University of Maryland, South Africa; Xiaoxuan Li, George Mason University, United States; Preet Lal, University of Maryland, United States; Mikhail Urbazaev, GFZ Helmholtz Centre for Geosciences, Germany
TH1.R18.3: Global uncertainty assessment of vegetation indices from NASA's Harmonized Landsat and Sentinel-2 Project
Qiang Zhou, Science Systems and Applications, Inc (SSAI), contractor to NASA GSFC, United States; Christopher Neigh, Junchang Ju, Margaret Wooten, NASA Goddard Space Flight Center, United States; Zhe Zhu, University of Connecticut, United States; Tomoaki Miura, University of Hawaiʻi at Mānoa, United States; Petya Campbell, NASA Goddard Space Flight Center, United States; Madhu Sridhar, Bradley Baker, University of Alabama in Huntsville, United States; Rodrigo Leite, NASA Goddard Space Flight Center, United States
TH1.R18.4: FROM PIXELS TO CROWNS: INDIVIDUAL BLACK ASH TREE IDENTIFICATION USING A MULTI-SCALE REMOTE SENSING FRAMEWORK INTEGRATING SATELLITE TIME SERIES AND UAV-BASED DEEP LEARNING
Zahra Najjar-Khodabakhsh, Parinaz Rahimzadeh-Bajgiran, University of Maine, United States
TH1.R18.5: FIRE-WISE EVALUATION OF DEEP LEARNING AND SPECTRAL INDEX METHODS FOR PRESCRIBED BURN AREA MAPPING
Mahmad Isaq Karankot, Dr. Bradley Whitaker, Montana State University, United States
Resources
No resources available.