title: Monitoring and validating spatio-temporal dynamics of biogeochemical properties in Mersin Bay (Turkey) using Landsat ETM+.
abstract: The objective of this study was to devise and validate simple models for estimating spatio-temporal dynamics of seven optically (in)active biogeochemical properties in Mersin Bay using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data and GIS. Spatio-temporal dynamics of Secchi depth (S (depth)), dissolved oxygen (DO), nitrite nitrogen (NO(2)-N), nitrate nitrogen (NO₃-N), silicate (SiO₄), 5-day biological oxygen demand (BOD5), and chlorophyll-a (Chl-a) were estimated using best-fit multiple linear regression (MLR) models as a function of Landsat 7 ETM+ and ground data in 2007 and 2008, latitude, longitude, and day of year. Validation of the MLR models against Landsat and ground data in 2005 led to r values ranging from 0.39 for NO₂-N (P = 0.008) to 0.79 for S (depth) (P < 0.001). Parsimonious MLR models built in this study appear to be promising for monitoring and predicting spatio-temporal dynamics of optically (in)active water quality characteristics in Mersin Bay.
authors.affiliation: Department of Environmental Engineering, Faculty of Engineering & Architecture, Abant Izzet Baysal University, 14280, Bolu, Turkey.
authors.forename: Nusret
authors.initials: N
authors.lastname: Karakaya
authors.forename: Fatih
authors.initials: F
authors.lastname: Evrendilek
mesh_terms: D061006:Bays / Q000737:chemistry*; D002734:Chlorophyll / Q000032:analysis; D004784:Environmental Monitoring / Q000379:methods*; D040362:Geographic Information Systems; D009584:Nitrogen / Q000032:analysis; D017215:Satellite Communications; D017640:Silicates / Q000032:analysis; D018531:Spacecraft; D014421:Turkey; D014874:Water Pollutants, Chemical / Q000032:analysis*; D014877:Water Pollution, Chemical / Q000706:statistics & numerical data
chemical_list: D017640:Silicates; D014874:Water Pollutants, Chemical; D002734:Chlorophyll; D009584:Nitrogen