Use of EO-1 Advanced Land Imager (ALI) multispectral image data and real-time field sampling for water quality mapping in the HirfanlA +/- Dam Lake, Turkey

作者：Kavurmaci Murat^*; Ekercin Semih; Altas Levent; Kurmac Yakup

来源：Environmental Science and Pollution Research, 2013, 20(8): 5416-5424.

DOI：10.1007/s11356-013-1553-9

• Remote sensing
• EO-1 Advanced Land Imager (ALI)
• Hirfanli Water Reservoir
• Radiometric correction
• Multiple regression
• Water quality

This paper focuses on the evaluation of water quality variations in HirfanlA +/- Water Reservoir, which is one of the most important water resources in Turkey, through EO-1 (Earth Observing-1) Advanced Land Imager (ALI) multispectral data and real-time field sampling. The study was materialized in 20 different sampling points during the overpass of the EO-1 ALI sensor over the study area. A multi-linear regression technique was used to explore the relationships between radiometrically corrected EO-1 ALI image data and water quality parameters: chlorophyll a, turbidity, and suspended solids. The retrieved and verified results show that the measured and estimated values of water quality parameters are in good agreement (R (2) > 0.93). The resulting thematic maps derived from EO-1 multispectral data for chlorophyll a, turbidity, and suspended solids show the spatial distribution of the water quality parameters. The results indicate that the reservoir has average nutrient values. Furthermore, chlorophyll a, turbidity, and suspended solids values increased at the upstream reservoir and shallow coast of the HirfanlA +/- Water Reservoir.

• 出版日期2013-8