Use of spectral reflectance from a compact spectrometer to assess chlorophyll content in Zizania latifolia

被引:8
|
作者
Sonobe, Rei [1 ]
Yamashita, Hiroto [1 ,2 ]
Nofrizal, Adenan Yandra [3 ]
Seki, Haruyuki [1 ]
Morita, Akio [1 ]
Ikka, Takashi [1 ]
机构
[1] Shizuoka Univ, Fac Agr, Shizuoka, Japan
[2] Gifu Univ, United Grad Sch Agr Sci, Gifu, Japan
[3] Shizuoka Univ, Grad Sch Integrated Sci & Technol, Shizuoka, Japan
关键词
C12880MA-10; Cubist; hyperspectral; sensitivity analysis; LEAF OPTICAL-PROPERTIES; HYPERSPECTRAL REFLECTANCE; CLASSIFICATION; VEGETATION; MACHINE; SPECTROSCOPY; ALGORITHM; INDEXES; RICE;
D O I
10.1080/10106049.2021.1914747
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Hyperspectral remote sensing is frequently used to monitor chlorophyll content, an important characteristic for assessing photosynthetic ability, health and defence against a variety of degenerative diseases. To obtain hyperspectral data, field portable spectroradiometers, such as Ocean Optics Hyperspectral Vis-NIR spectroradiometers and Analytical Spectral Devices FieldSpec series, have been widely used. The development of an affordable hyperspectral remote sensing system would be advantageous. Highly sensitive, affordable and cost-effective finger-tip size spectrometers have recently been released. In this study we investigate the potential of hyperspectral data obtained from such a compact spectrometer (C12880MA-10, Hamamatsu Photonics) for estimating chlorophyll content in Zizania latifolia. We also tested the efficacy of five pre-processing techniques (first derivative reflectance, continuum-removal transformation, de-trending, multiplicative scatter correction and standard normal variate) in conjunction with five machine learning algorithms.
引用
收藏
页码:5363 / 5375
页数:13
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