Tracing photosynthetic electron transport rate based on hyperspectral reflectance. - Quan Wang 005; Rei Sonobe (IGARSS, 2016)

Hyperspectral indices for quantifying leaf chlorophyll concentrations performed differently with different leaf types in deciduous forests. - Rei Sonobe; Quan Wang 005 (Ecol. Informatics, 2017)

Towards a Universal Hyperspectral Index to Assess Chlorophyll Content in Deciduous Forests. - Rei Sonobe; Quan Wang 005 (Remote. Sens., 2017)

Nondestructive assessments of carotenoids content of broadleaved plant species using hyperspectral indices. - Rei Sonobe; Quan Wang 005 (Comput. Electron. Agric., 2018)

Parcel-Based Crop Classification Using Multi-Temporal TerraSAR-X Dual Polarimetric Data. - Rei Sonobe (Remote. Sens., 2019)

Combining ASNARO-2 XSAR HH and Sentinel-1 C-SAR VH/VV Polarization Data for Improved Crop Mapping. - Rei Sonobe (Remote. Sens., 2019)

Crop classification using spectral indices derived from Sentinel-2A imagery. - Nobuyuki Kobayashi; Hiroshi Tani; Xiufeng Wang; Rei Sonobe (J. Inf. Telecommun., 2020)

Estimation of Leaf Chlorophyll a, b and Carotenoid Contents and Their Ratios Using Hyperspectral Reflectance. - Rei Sonobe; Hiroto Yamashita; Harumi Mihara; Akio Morita; Takashi Ikka (Remote. Sens., 2020)

Crop Classification Using a Combination of Spectral Indices from Spatiotemporal Multispectral Imagery and Machine Learning. - Adenan Yandra Nofrizal; Rei Sonobe (IGARSS, 2022)

Evaluation of a One-Dimensional Convolution Neural Network for Chlorophyll Content Estimation Using a Compact Spectrometer. - Adenan Yandra Nofrizal; Rei Sonobe; Hiroto Yamashita; Haruyuki Seki; Harumi Mihara; Akio Morita; Takashi Ikka (Remote. Sens., 2022)

Applying Variable Selection Methods and Preprocessing Techniques to Hyperspectral Reflectance Data to Estimate Tea Cultivar Chlorophyll Content. - Rei Sonobe; Yuhei Hirono (Remote. Sens., 2023)

Carotenoid Content Estimation in Tea Leaves Using Noisy Reflectance Data. - Rei Sonobe; Yuhei Hirono (Remote. Sens., 2023)