TU1.R14.3

HOW EARLY CAN FOREST BARK BEETLE INFESTATION BE DETECTED WITH SENTINEL-2 DATA? A CASE STUDY OVER SOUTH-EAST SWEDEN

Sadegh Jamali, Per-Ola Olsson, Mitro Müller, Arsalan Ghorbanian, Lund University, Sweden
Session:
TU1.R14: Forest Dynamics and Disturbances Oral
Track:
Community-Contributed Sessions
Location:
Room E
Presentation Time:
Tue, 18 Jul, 08:54 - 09:06 Pacific Time (UTC -8)
Session Co-Chairs:
Daniele Marinelli, Fondazione Edmund Mach and Michele Dalponte, Fondazione Edmund Mach
Session Manager:
sunni kanta prasad kushwaha
Presentation
Discussion
Resources
No resources available.
Session TU1.R14
TU1.R14.1: MAPPING FOREST VERTICAL STRUCTURE ATTRIBUTES WITH GEDI, SENTINEL-1, AND SENTINEL-2
Narumasa Tsutsumida, Saitama University, Japan; Akira Kato, Chiba University, Japan; Takeshi Osawa, Tokyo Metropolitan University, Japan; Hideyuki Doi, Kyoto University, Japan
TU1.R14.2: THE TROPICAL FOREST DEGRADATION EXPERIMENT – COMPARING SPACEBORNE SAR SENSORS
Harry Carstairs, Edward Mitchard, Chiara Aquino, Iain McNicol, University of Edinburgh, United Kingdom; Jose-Luis Beuso-Bello, German Aerospace Center (DLR), Germany
TU1.R14.3: HOW EARLY CAN FOREST BARK BEETLE INFESTATION BE DETECTED WITH SENTINEL-2 DATA? A CASE STUDY OVER SOUTH-EAST SWEDEN
Sadegh Jamali, Per-Ola Olsson, Mitro Müller, Arsalan Ghorbanian, Lund University, Sweden
TU1.R14.4: GREEN ATTACK OR OVERFITTING? COMPARING MACHINE-LEARNING- AND VEGETATION-INDEX-BASED METHODS TO EARLY DETECT EUROPEAN SPRUCE BARK BEETLE ATTACKS USING MULTISPECTRAL DRONE IMAGES
Langning Huo, Henrik Jan Persson, Jonas Bohlin, Eva Lindberg, Swedish University of Agricultural Sciences, Sweden
Resources
No resources available.