Reservoir water temperature modeling by geostatistical analysis of ASTER images (Case Study: Dez Dam, Iran)

Document Type: Original Article

Authors

1 Department of Geomatic Engineering, Shahid Rajaee Teacher Training University

2 Department of RS-GIS, Faculty of Geographic Sciences, Kharazmi University

3 Department of Environmental Sciences, Shahid Rajaee Teacher Training University

4 Faculty of Geo-Information Science and Earth Observation, University of Twente

Abstract

Satellite data have been used for temperature modeling both in urban areas and water. This paper
studies viability of ASTER satellite images that provide high spatial and spectral resolution to model water
surface temperature, as a fundamental water quality parameter. This study is focused on Dez dam reservoir
residing in Khuzestan province, south west of Iran. After the image corrections required for the ASTER
image, the NDWI was determined. Water pixels extraction was done using the NDWI equal to 0.88. Using
multiple linear regression analysis (MLR), water temperature model was retrieved by a recursive approach.
The suggested model estimates the water surface temperature measured at ground control stations data.
A high R-square of 0.87 was observed between the control station data and modeled temperature. After
validation test of the temperature model at ground control station, the validity of the interpolated data in long
distance was assessed. The spatial auto-correlation (Moran-I) and clustering analysis (Hot Spot) of the result
also show that while long distance interpolation in the inner area of the dam reservoir seems acceptable,
different interpolations are required at shores of the dam reservoir and at river outlets to model water surface
temperature of the dam reservoir.

Keywords


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