8 November 2010 Algorithm for estimating the chlorophyll-a concentrations in water areas with different qualities from satellite data
Author Affiliations +
Abstract
The purpose of this study is to develop an algorithm for estimating the chlorophyll-a concentrations of relatively clean coastal waters and highly eutrophic lakes from multispectral satellite images (ALOS/AVNIR-2) and field survey data. Obama Bay has a low chlorophyll-a concentration (<10 mg/m3). In contrast, Lake Kitagata is a brackish, eutrophic lake that is connected to the Japan Sea in the northeast, and it has a chlorophyll-a concentration in the range 10 to 200 mg/m3. For both water areas, the correlation coefficients between various ratios of satellite spectral bands and field survey data are calculated to determine the most suitable algorithm for estimating chlorophyll-a concentration. The preliminary results indicate that an algorithm using visible bands (bands 1, 2, and 3 for ALOS/AVNIR-2) have high correlation coefficients for Obama Bay, whereas an algorithm using the near-infrared band (band 4) is suitable for Lake Kitagata when it is highly eutrophic. These results indicate that water with a low chlorophyll-a concentration has a low near-infrared spectral reflectance, because of the strong absorption of light by water in near-infrared wavelengths.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Takashi Aoyama, Takashi Aoyama, } "Algorithm for estimating the chlorophyll-a concentrations in water areas with different qualities from satellite data", Proc. SPIE 7858, Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment, 785819 (8 November 2010); doi: 10.1117/12.869442; https://doi.org/10.1117/12.869442
PROCEEDINGS
8 PAGES


SHARE
Back to Top