Paper
14 October 2014 Relationship between spectral reflectance and chlorophyll-a concentration in the eutrophic Lake Togo-ike
Y. Sakuno, K. Hatakeyama, Y. Miyamoto, A. Hatsuda, A. Mori, T. Kuki
Author Affiliations +
Abstract
The objective of this study is to investigate the relationship between spectral reflectance and Chla in the lake. The spectral reflectance and upper-layer water sampling was performed from onboard on May 30, August 8, 2013, and March 7, 2014 at the 10 to 11 points in the lake. MS720 (EKO Ltd.) was used for spectral reflectance measurement. The wavelength range of reflectance measurement is 400 to 900 nm. Chla was quantified by the UNESCO method after the filtering of upper-layer water and acetone extraction in the laboratory. The range of Chla is 6 to 145 μg L-1. The spectralreflectance characteristic in the lake is the low reflectance near 670 nm (strong absorption), and the high reflectance near 700 nm (including fluorescence). Such the characteristic is the same as the eutrophic lakes such as Chesapeake Bay in the United States, or Lake District in Germany. A correlation analysis using the two band algorithm for Chla estimation was conducted using 32 obtained datasets. An optimal combination of two bands was the case of 648 nm and 700 nm (R2=0.81). However, the latest earth observation satellites are not observed at these bands. Then, the Chla estimation using Landsat-8 OLI bands which was launched in Feb., 2013 was examined. As a result, it became clear that the technique adapting OC2 and OC3 model of the operational algorithm was comparatively reasonable.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Y. Sakuno, K. Hatakeyama, Y. Miyamoto, A. Hatsuda, A. Mori, and T. Kuki "Relationship between spectral reflectance and chlorophyll-a concentration in the eutrophic Lake Togo-ike", Proc. SPIE 9240, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2014, 92400H (14 October 2014); https://doi.org/10.1117/12.2067110
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reflectivity

Earth observing sensors

Landsat

Data modeling

Sensors

Satellites

Absorption

Back to Top