FR1.R13.5

ADVANCES IN THE STUDY OF BIOCHEMICAL, MORPHOLOGICAL AND PHYSIOLOGICAL TRAITS OF WHEAT AND SORGHUM CROPS IN AUSTRALIA USING HYPERSPECTRAL DATA AND MACHINE LEARNING.

A. B. Potgieter, The University of Queensland, Australia; C Camino, European Commission, Italy; T Poblete, The University of Melbourne, Australia; X Zhi, State Key Laboratory of Cotton Biology, China; S Reynolds-Massey-Reed, Y Zhao, The University of Queensland, Australia; Anirudh Belwalkar, The University of Melbourne, Austria; B George-Jaeggli, Jiang Ruizhu, S Chapman, D Jordan, A Wu, G. L. Hammer, The University of Queensland, Australia; P. J. Zarco-Tejada, The University of Melbourne, Australia
Session:
FR1.R13: Ushering a New Era of Spaceborne Hyperspectral Sensors to Propel Gigantic Leap in the Earth Remote Sensing I Oral
Track:
Community-Contributed Sessions
Location:
Room 105
Presentation Time:
Fri, 21 Jul, 09:18 - 09:30 Pacific Time (UTC -8)
Session Co-Chairs:
Prasad Thenkabail, United States Geological Survey (USGS) and Itiya Aneece, United States Geological Survey (USGS)
Session Manager:
Varsha Bhosale
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Session FR1.R13
FR1.R13.1: Ushering in a new era of spaceborne hyperspectral sensors to propel a gigantic leap in terrestrial remote sensing
Prasad Thenkabail, Itiya Aneece, Pardhasaradhi Teluguntla, Adam Oliphant, Daniel Foley, United States Geological Survey, United States
FR1.R13.2: SPECTRAL EVALUATION OF HYPERSPECTRAL REMOTE SENSING DATA USING UAV-DERIVED VIS/NIR/SWIR IMAGING DATA AND POLYGON GRIDS
Georg Bareth, Christoph Hütt, Alexander Jenal, Fabian Reddig, Andreas Bolten, University of Cologne, Germany
FR1.R13.3: HYPERSPECTRAL NARROWBAND AND MULTISPECTRAL BROADBAND VEGETATION INDICES FOR REMOTE SENSING OF EVAPOTRANSPIRATION IN DRYLANDS
Michael Marshall, Wim Timmermans, University of Twente, Netherlands; Clement Atzberger, BOKU, Italy; Monica Pepe, CNR-IREA, Italy; Micol Rossini, Cinzia Panigada, University of Milano-Bicocca, Italy; Francesco Fava, University of Milano, Italy; Chris Hecker, Agnieszka Soszynska, University of Twente, Netherlands; Sonja Leitner, Vincent Odongo, International Livestock Research Institute, Kenya
FR1.R13.4: COMPARISON OF HYPERSPECTRAL SENSORS FOR AGRICULTURAL CROP CLASSIFICATION AND CHARACTERIZATION
Itiya Aneece, Prasad Thenkabail, Daniel Foley, Adam Oliphant, U.S. Geological Survey, United States; Pardhasaradhi Teluguntla, Bay Area Environmental Research Institute, United States
FR1.R13.5: ADVANCES IN THE STUDY OF BIOCHEMICAL, MORPHOLOGICAL AND PHYSIOLOGICAL TRAITS OF WHEAT AND SORGHUM CROPS IN AUSTRALIA USING HYPERSPECTRAL DATA AND MACHINE LEARNING.
A. B. Potgieter, The University of Queensland, Australia; C Camino, European Commission, Italy; T Poblete, The University of Melbourne, Australia; X Zhi, State Key Laboratory of Cotton Biology, China; S Reynolds-Massey-Reed, Y Zhao, The University of Queensland, Australia; Anirudh Belwalkar, The University of Melbourne, Austria; B George-Jaeggli, Jiang Ruizhu, S Chapman, D Jordan, A Wu, G. L. Hammer, The University of Queensland, Australia; P. J. Zarco-Tejada, The University of Melbourne, Australia
Resources
No resources available.