Author/Authors :
DOGAN, Hakan Mete Gaziosmanpasa University - Agricultural Faculty - Soil Science and Plant Nutrition Department, Turkey , POLAT, Fatih Gaziosmanpasa University - Almus Vocational School, Turkey , BUHAN, Ekrem Gaziosmanpasa University - Agricultural Faculty - Fisheries and Aquaculture Department, Turkey , KILIÇ, Orhan Mete Gaziosmanpasa University - Faculty of Arts and Sciences - Geography Department, Turkey , YILMAZ, Doğaç Sencer Gaziosmanpasa University - Agricultural Faculty - Soil Science and Plant Nutrition Department, Turkey , BUHAN, Saliha Dirim Gebze Institute of Technology - Faculty of Engineering - Environmental Engineering Department, Turkey
Title Of Article :
Modeling and Mapping Temperature, Secchi Depth, and Chlorophyll-a Distributions of Zinav Lake by Using GIS and Landsat-7 ETM+ Imagery
Abstract :
Temperature, secchi depth, and chlorophyll-a (in relation to secchi depth) of Zinav Lake in Turkey were modeled and mapped by using Geographic Information Systems (GIS) and Remote Sensing (RS). Temperature (°C), secchi depth (m), and chlorophyll-a (mg/l) field data were collected from geo-referenced 5 stations on the lake between September- 2011 and October-2012 in monthly basis. Secchi depth was measured by Hidrobios brand secchi disc with 25 cm diameter. A multi-measuring device (YSI-556MPS) was utilized to determine temperature values. Chlorophyll-a was measured by using Helios-α model UV-Vis spectrophotometer and monochromatic method. Utilizing geo-referenced field data and the digital number (DN) values of thermal (6.1) band of Landsat-7 ETM+ image (date: 27 April 2012 and pat/row: 175/32), temperature raster map of Zinav Lake was created. Relationships between secchi depth and band1/band3 values of Landsat-7 ETM+ image, and between secchi depth and chlorophyll-a were modeled by curve fit analysis. Running the produced models in GIS, secchi depth, temperature and chlorophyll-a raster maps of Zinav Lake were generated. The results showed that the lake has anoxic conditions and it exhibits eutrophic characters.
NaturalLanguageKeyword :
GIS , modeling , clorophyll , a , temperature , secchi depth , remote sensing.
JournalTitle :
Journal Of Agricultural Faculty Of Gaziosmanpasa University
