Parcel-Based Crop Classification Using Multi-Temporal TerraSAR-X Dual Polarimetric Data by Rei Sonobe

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Towards a Universal Hyperspectral Index to Assess Chlorophyll Content in Deciduous Forests by Rei Sonobe, Quan Wang

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Carotenoid Content Estimation in Tea Leaves Using Noisy Reflectance Data by Rei Sonobe, Yuhei Hirono

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Applying Variable Selection Methods and Preprocessing Techniques to Hyperspectral Reflectance Data to Estimate Tea Cultivar Chlorophyll Content by Rei Sonobe, Yuhei Hirono

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Monitoring Photosynthetic Pigments of Shade-Grown Tea from Hyperspectral Reflectance by Rei Sonobe, Yuta Miura, Tomohito Sano, Hideki Horie

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Crop classification using spectral indices derived from Sentinel-2A imagery by Nobuyuki Kobayashi, Hiroshi Tani, Xiufeng Wang, Rei Sonobe

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Potential of spectroscopic analyses for non-destructive estimation of tea quality-related metabolites in fresh new leaves by Hiroto Yamashita, Rei Sonobe, Yuhei Hirono, Akio Morita, Takashi Ikka

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Estimation of Leaf Chlorophyll <i>a</i>, <i>b</i> and Carotenoid Contents and Their Ratios Using Hyperspectral Reflectance by Rei Sonobe, Hiroto Yamashita, Harumi Mihara, Akio Morita, Takashi Ikka

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Assessing the suitability of data from Sentinel-1A and 2A for crop classification by Rei Sonobe, Yuki Yamaya, Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi, Kan-ichiro Mochizuki

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Hyperspectral wavelength selection for estimating chlorophyll content of muskmelon leaves by Rei Sonobe, Yudai Sugimoto, Ryohei Kondo, Haruyuki Seki, Erika Sugiyama, Yoshikazu Kiriiwa, Katsumi Suzuki

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Evaluation of a One-Dimensional Convolution Neural Network for Chlorophyll Content Estimation Using a Compact Spectrometer by Adenan Yandra Nofrizal, Rei Sonobe, Hiroto Yamashita, Haruyuki Seki, Harumi Mihara, Akio Morita, Takashi Ikka

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