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

Abstract

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.

Keywords:

• C12880MA-10
• Cubist
• hyperspectral
• sensitivity analysis

Acknowledgement

We thank Mr. Keitaro Koike, Mr. Junji Shinada, Ms. Shiori Yonezawa, and Ms. Ibuki Yamazaki of Shizuoka University for assisting with the plant sampling and chlorophyll measurement.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study was supported financially by JSPS KAKENHI (grant number 19K06313).