The objective of this research was to develop a model for estimating chlorophyll-a, SST and kd(490) on the Northwest Persian gulf water using relatively high resolution landsat8 image. A field compaign were conducted in Feb, March, April, May, July, Agust, Oct and Nov of 2014 concurrent to satellite over-pass. The field work were conducted of Mahshar estuary between Feb, 14th to Nov, 13th, 2014. Temperature, Secchi disk depth, chl-a, kd and zeu was measured in this study. We tested various regression models using combinations of bands. The regression models showed acceptable correlation and accuracy. The Chl-a concentrations ranged from 0.6 to 1.8 mg m−3, with an average of 1.01 ± 0.32 mg m−3. The values for Kd(490) were highest(0.86) in July and lowest (0.59m) in February. Deeper Zeu are observed in Feb (7.8m) and Shallower Zeu were observed in July (5.3m). The study of SST algorithm model for Landsat-8 data has been conducted using the method approached to SST derived from calibrated landsat8 data. The retrieval accuracy (R2) was 0.63, while the root mean square (RMSE) was 0.81. The highest (31c°) temperature was found in July and lowest temperature(15.1c°) was found in Feb. The approach employed in this research indicates that remote sensing is a valuable, low-cost and stable tool for water quality monitoring of estuary health.
Landsat8, Chl-a, SST, kd(490), zeu
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