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 -7)
Session Co-Chairs:
Daniele Marinelli, Fondazione Edmund Mach and Michele Dalponte, Fondazione Edmund Mach
Session Manager:
sunni kanta prasad kushwaha
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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
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