FRP.P9: Ecology using Hyperspectral Imaging
Fri, 21 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 9
Session Type: Poster
Track: Data Analysis

FRP.P9.1: FAST MACHINE LEARNING SIMULATOR OF AT-SENSOR RADIANCES FOR SOLAR-INDUCED FLUORESCENCE RETRIEVAL WITH DESIS AND HYPLANT

Miguel Pato, Stefan Auer, Emiliano Carmona, Stefan Maier, Rupert Müller, German Aerospace Center (DLR), Germany; Kevin Alonso, RHEA Group c/o European Space Agency (ESA), Italy; Jim Buffat, Patrick Rademske, Uwe Rascher, Hanno Scharr, Forschungszentrum Jülich GmbH, Germany

FRP.P9.2: 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.P9.3: HYPERSPECTRAL IMAGE CLASSIFICATION OF TREE SPECIES WITH LOW-DEPTH FEATURES

Zhengqi Guo, Mengmeng Zhang, Wei Li, Beijing Institute of Technology, China; Wen Jia, Chinese Academy of Forestry, China

FRP.P9.4: AVIRIS-NG HYPERSPECTRAL DATA FOR SVM KERNEL FUNCTIONS ON FOREST SPECIES RECOGNITION

Rajani Kant Verma, Laxmi Kant Sharma, Central University of Rajasthan, India

FRP.P9.5: EXPLORING COMMON HYPERSPECTRAL FEATURES OF EARLY-STAGE PINE WILT DISEASE AT DIFFERENT SCALES, FOR DIFFERENT PINE SPECIES, AND AT DIFFERENT REGIONS

Niwen Li, Xiaoli Zhang, Beijing Forestry University, China; Langning Huo, Swedish University of Agriculture Sciences, Sweden

FRP.P9.6: Inversion of true leaf reflectance from very high spatial resolution hyperspectral images

Olli Ihalainen, Matti Mõttus, VTT Technical Research Centre of Finland Ltd, Finland; Jussi Juola, Aalto University, Finland

FRP.P9.7: HYPERSPECTRAL DETECTION OF FUSARIUM WILT IN TOMATO PLANTS USING MACHINE LEARNING-BASED APPROACHES‌

Sivaganesh Baskaran, ManoharKumar CVSS, Manoj kaushik, Rama Rao Nidamanuri, Indian Institute of Space Science and Technology, India; Chaitra Gadari, R.G. Sharathchandra Ramasandra Govind, Tumkur University, India

FRP.P9.8: 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.P9.9: 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