Remote Sens. 2010, 2(7), 1722-1730; doi:10.3390/rs2071722
Article

Why is the Ratio of Reflectivity Effective for Chlorophyll Estimation in the Lake Water?

Received: 30 May 2010; in revised form: 13 June 2010 / Accepted: 7 July 2010 / Published: 9 July 2010
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The reasons why it is effective to estimate the chlorophyll-a concentration with the ratio of spectral radiance reflectance at the red light region and near infrared regions were shown in theory using a two-flow model. It was found that all of the backscattering coefficients can consequently be ignored by using the ratio of spectral radiance reflectance, which is the ratio of the upward radiance to the downward irradiance, at the red light and near infrared regions. In other words, the ratio can be expressed by using only absorption coefficients, which are more stable for measurement than backscattering coefficients. In addition, the band selection is crucial for producing the band ratio when the chlorophyll-a concentration is estimated without the effects of backscattering. I conclude that the two wavelengths selected must be close, but one must be within the absorption range of chlorophyll-a, and the other must be outside of the absorption range of chlorophyll-a, in order to accurately estimate the chlorophyll-a concentration.
Keywords: band selection; lake Kasumigaura; radiative transfer model; spectral signature; vegetation index
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MDPI and ACS Style

Oki, K. Why is the Ratio of Reflectivity Effective for Chlorophyll Estimation in the Lake Water? Remote Sens. 2010, 2, 1722-1730.

AMA Style

Oki K. Why is the Ratio of Reflectivity Effective for Chlorophyll Estimation in the Lake Water? Remote Sensing. 2010; 2(7):1722-1730.

Chicago/Turabian Style

Oki, Kazuo. 2010. "Why is the Ratio of Reflectivity Effective for Chlorophyll Estimation in the Lake Water?" Remote Sens. 2, no. 7: 1722-1730.

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