Rei Sonobe

Orcid: 0000-0002-8330-3730

According to our database1, Rei Sonobe authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Carotenoid Content Estimation in Tea Leaves Using Noisy Reflectance Data.
Remote. Sens., September, 2023

Applying Variable Selection Methods and Preprocessing Techniques to Hyperspectral Reflectance Data to Estimate Tea Cultivar Chlorophyll Content.
Remote. Sens., January, 2023

2022
Evaluation of a One-Dimensional Convolution Neural Network for Chlorophyll Content Estimation Using a Compact Spectrometer.
Remote. Sens., 2022

Crop Classification Using a Combination of Spectral Indices from Spatiotemporal Multispectral Imagery and Machine Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020
Estimation of Leaf Chlorophyll a, b and Carotenoid Contents and Their Ratios Using Hyperspectral Reflectance.
Remote. Sens., 2020

Crop classification using spectral indices derived from Sentinel-2A imagery.
J. Inf. Telecommun., 2020

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

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

2018
Nondestructive assessments of carotenoids content of broadleaved plant species using hyperspectral indices.
Comput. Electron. Agric., 2018

2017
Towards a Universal Hyperspectral Index to Assess Chlorophyll Content in Deciduous Forests.
Remote. Sens., 2017

Hyperspectral indices for quantifying leaf chlorophyll concentrations performed differently with different leaf types in deciduous forests.
Ecol. Informatics, 2017

2016
Tracing photosynthetic electron transport rate based on hyperspectral reflectance.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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