Relating lake metabolism components of lake Abant to landsat 7 etm+ data

Lakes in the province of Bolu are the strategic natural resources that benefitlife quality, well-being and economic stability of the region. Monitoring, protectingand sustainably managing water quality of these lakes against pressures are amongthe prioritized issues for the local and regional decision makers. It is a must forregions such as Bolu to possess a rapid, cost efficient and continuous monitoring ofwater resources. Therefore, it is required to be shown whether or not lake waterquality and metabolism components can be monitored using remote sensingmethods. Within this context, to detect spatiotemporal changes in lake metabolismcomponents of Lake Abant based on remote sensing methods was aimed at.Lake metabolism components used in the thesis were estimated using thediel oxygen technique. For this purpose, dissolved oxygen concentration, dissolvedoxygen saturation value, pH, electrical conductivity, chlorophyll-a and watertemperature were continuously measured in situ with YSI water quality monitoringprobes installed. With the diel oxygen technique, changes in gross primaryproduction, net ecosystem production and ecosystem respiration can be estimatedon the daily scale. In the thesis, lake metabolism components were calculatedfollowing the following two assumptions (1) that ecosystem respiration is equalduring Rnight and Rday; and (2) that ecosystem respiration is not equal during Rnightand Rday.Landsat 7 ETM + satellite images were used in order to relate thecomponents of the lake metabolism to the satellite images acquired in the summermonths between 2012 and 2014. Multiple linear (MLR) and nonlinear regression(MNLR) models were used to relate ecosystem metabolism to digital number (DN)values derived from Landsat 7 ETM+ images.