FRP.P8.1

FAST MACHINE LEARNING SIMULATOR OF AT-SENSOR RADIANCES FOR SOLAR-INDUCED FLUORESCENCE RETRIEVAL WITH DESIS AND HYPLANT

Miguel Pato, German Aerospace Center (DLR), Germany; Kevin Alonso, RHEA Group c/o European Space Agency (ESA), Italy; Stefan Auer, German Aerospace Center (DLR), Germany; Jim Buffat, Forschungszentrum Jülich GmbH, Germany; Emiliano Carmona, Stefan Maier, Rupert Müller, German Aerospace Center (DLR), Germany; Patrick Rademske, Uwe Rascher, Hanno Scharr, Forschungszentrum Jülich GmbH, Germany
Session:
FRP.P8: Ecology using Hyperspectral Imaging Poster
Track:
Data Analysis
Location:
Poster Area 8
Presentation Time:
Fri, 21 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
Miguel Pato, German Aerospace Center (DLR)
Session Managers:
Srashti Singh and NIMA ESMAEILZADEH and Suhaimee Buya and sunni kanta prasad kushwaha
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Session FRP.P8
FRP.P8.1: FAST MACHINE LEARNING SIMULATOR OF AT-SENSOR RADIANCES FOR SOLAR-INDUCED FLUORESCENCE RETRIEVAL WITH DESIS AND HYPLANT
Miguel Pato, German Aerospace Center (DLR), Germany; Kevin Alonso, RHEA Group c/o European Space Agency (ESA), Italy; Stefan Auer, German Aerospace Center (DLR), Germany; Jim Buffat, Forschungszentrum Jülich GmbH, Germany; Emiliano Carmona, Stefan Maier, Rupert Müller, German Aerospace Center (DLR), Germany; Patrick Rademske, Uwe Rascher, Hanno Scharr, Forschungszentrum Jülich GmbH, Germany
FRP.P8.2: PLANT SPECIES RECOGNITION BASED ON HYPERSPECTRAL PLANT CANOPY IMAGES WITH DEEP LEARNING
Yu-Kai Chen, Keng-Hao Liu, National Sun Yat-sen University, Taiwan; Chinsu Lin, National Chiayi University, Taiwan
FRP.P8.3: HYPERSPECTRAL IMAGE CLASSIFICATION OF TREE SPECIES WITH LOW-DEPTH FEATURES
Zhengqi Guo, Mengmeng Zhang, Beijing Institute of Technology, China; Wen Jia, Chinese Academy of Forestry, China; Wei Li, Beijing Institute of Technology, China
FRP.P8.4: AVIRIS-NG HYPERSPECTRAL DATA FOR SVM KERNEL FUNCTIONS ON FOREST SPECIES RECOGNITION
Rajani Kant Verma, Laxmi Kant Sharma, Central University of Rajasthan, India
FRP.P8.5: EXPLORING COMMON HYPERSPECTRAL FEATURES OF EARLY-STAGE PINE WILT DISEASE AT DIFFERENT SCALES, FOR DIFFERENT PINE SPECIES, AND AT DIFFERENT REGIONS
Niwen Li, Beijing Forestry University, China; Langning Huo, Swedish University of Agriculture Sciences, Sweden; Xiaoli Zhang, Beijing Forestry University, China
FRP.P8.6: Inversion of true leaf reflectance from very high spatial resolution hyperspectral images
Olli Ihalainen, VTT Technical Research Centre of Finland Ltd, Finland; Jussi Juola, Aalto University, Finland; Matti Mõttus, VTT Technical Research Centre of Finland Ltd, Finland
FRP.P8.7: HYPERSPECTRAL DETECTION OF FUSARIUM WILT IN TOMATO PLANTS USING MACHINE LEARNING-BASED APPROACHES‌
Sivaganesh Baskaran, Indian Institute of Space Science and Technology, India; Chaitra Gadari, Tumkur University, India; ManoharKumar CVSS, Manoj kaushik, Indian Institute of Space Science and Technology, India; R.G. Sharathchandra Ramasandra Govind, Tumkur University, India; Rama Rao Nidamanuri, Indian Institute of Space Science and Technology, India
FRP.P8.8: MAPPING CAPABILITY OF HYPERSPECTRAL INFORMATION ON DOMINANT ARCTIC VEGETATION SPECIES USING TERRESTRIAL HYPERSPECTRAL IMAGERY
Junyoung Yang, Yoo Kyung Lee, Korea Polar Research Institute, University of Science and Technology, South Korea; Junhwa Chi, Pukyong National University, South Korea
FRP.P8.9: SELECTION OF BANDS FOR SECONDARY METABOLITES IN R. Arboreum USING HYPERSPECTRAL DATA
Ayushi Gupta, INSTITUTE OF ENVIRONMENT AND SUSTAINABLE DEVELOPMENT (IESD), BANARAS HINDU UNIVERSITY(BHU), India; Prashant Kumar Srivastava, Banaras Hindu University, India; Karuna Shanker, CSIR-Central Institute of Medicinal and Aromatic Plants, India; K. S. Chandra Sekar, G.B. Pant, National Institute of Himalayan Environment (NIHE), India
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