Author(s): Chengkun Zhang; Min Han
Linked Author(s):
Keywords: Chlorophyll-a; Turbid productive waters; Remote sensing; Landsat 8 OLI data
Abstract: Recent years, the increasing human activities such as the sea aquaculture, industrial production, contribute to the water eutrophication of Laizhou Bay, Bohai Sea, China. The concentration of chlorophyll-a, an important index of water quality status, is often used to describe the extent of eutrophication. With the characteristics of rapidity, cyclicity, large-scale and low-cost, the technique of remote sensing plays a crucial role in quantitatively monitoring the status of water quality. MODIS is designed specifically for ocean color, and its Chlorophyll-a inversion models for caseⅠwater were already widely used. But for its lower spatial resolution, MODIS cannot satisfy the needs of monitoring the water quality in coastal caseⅡwaters, such as Laizhou Bay. The shorter cycle, the higher spatial of Landsat 8 OLI data has offered a great promise for caseⅡwater status quality monitoring. In this study we utilized two Landsat 8 OLI (Path/Row120/034) images, for coastal waters around Laizhou city in summer and winter, to map the distribution of chlorophyll-a concentration. Optimal linear regression models between OLI band combination and concurrent in suit water quality measurements are developed respectively, and then are used to estimate the chlorophyll-a concentration in different season. According to the chlorophyll-a concentration distribution map, the water quality of the coastal waters around Laizhou city is in a certain degree of eutrophication.
Year: 2015