WE1.T07: Field Sampling and Remote Sensing |
Session Type: Oral
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Time: Wednesday, July 24, 08:20 - 10:00
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Location: Room 109
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Session Chair: Akira Kato, Chiba University
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WE1.T07.1: OPTIMIZING THE GROUND SAMPLE COLLECTION WITH COST-SENSITIVE ACTIVE LEARNING FOR TREE SPECIES CLASSIFICATION USING HYPERSPECTRAL IMAGES
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Claudio Persello; University of Trento |
Michele Dalponte; Fondazione E. Mach |
Terje Gobakken; Norwegian University of Life Sciences |
Erik Næsset; Norwegian University of Life Sciences |
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[View Video] WE1.T07.2: UNSUPERVISED SELECTION OF TRAINING PLOTS AND TREES FOR TREE SPECIES CLASSIFICATION
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Michele Dalponte; Research and Innovation Centre, Fondazione E. Mach |
Liviu Theodor Ene; Norwegian University of Life Sciences |
Hans Ole Ørka; Norwegian University of Life Sciences |
Terje Gobakken; Norwegian University of Life Sciences |
Erik Næsset; Norwegian University of Life Sciences |
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[View Video] WE1.T07.3: THE IMPACT OF SENSOR CHARACTERISTICS FOR OBTAINING ACCURATE GROUND-BASED MEASUREMENTS OF LAI
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William Woodgate; RMIT University, CRC-SI |
Mathias Disney; University College London |
John Armston; Department of Science, Information Technology, Innovation, and the Arts |
Simon Jones; RMIT University, CRC-SI |
Lola Suarez; RMIT University, CRC-SI |
Michael Hill; The University of North Dakota |
Phillip Wilkes; RMIT University, CRC-SI |
Mariela Soto-Berelov; RMIT University |
Andrew Haywood; Department of Sustainability and Environment |
Andrew Mellor; Department of Sustainability and Environment |
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[View Video] WE1.T07.4: VALIDATION OF COARSE-RESOLUTION FRACTIONAL VEGETATION COVER PRODUCT IN HEIHE BASIN, CHINA
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Shuai Huang; Beijing Normal University |
Xihan Mu; Beijing Normal University |
Guangjian Yan; Beijing Normal University |
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[View Video] WE1.T07.5: GROUND TRUTH MEASUREMENT OF TREES USING TERRESTRIAL LASER FOR SATELLITE REMOTE SENSING
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Akira Kato; Chiba University |
Justin Morgenroth; University of Canterbury |
David Kelbe; Rochester Institute of Technology |
Christopher Gomez; University of Canterbury |
Jan A.N. van Aardt; Rochester Institute of Technology |
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