title: Use of EO-1 Advanced Land Imager (ALI) multispectral image data and real-time field sampling for water quality mapping in the Hirfanlı Dam Lake, Turkey.
abstract: This paper focuses on the evaluation of water quality variations in Hirfanlı 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 Hirfanlı Water Reservoir.
authors: Department of Geological Engineering, Aksaray University, Aksaray, 68100, Turkey. muratkavurmaci@yahoo.com
authors: Murat
authors: M
authors: Kavurmacı
authors: Semih
authors: S
authors: Ekercin
authors: Levent
authors: L
authors: Altaş
authors: Yakup
authors: Y
authors: Kurmaç
mesh_terms: D000465:Algorithms; D002734:Chlorophyll; D000077194:Chlorophyll A; D004784:Environmental Monitoring / Q000379:methods*; D005068:Eutrophication; D007091:Image Processing, Computer-Assisted; D060106:Lakes; D009391:Nephelometry and Turbidimetry; D012044:Regression Analysis; D017215:Satellite Communications; D014421:Turkey; D060753:Water Quality
chemical_list: D002734:Chlorophyll; D000077194:Chlorophyll A