الفهرس 
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Abstract
Surface water quality monitoring from space is essential for water quality researchers. Thus, Surface water quality assessment has been traditionally performed using laboratory analysis; however, these techniques need more time and trained labour. On the other hand, remote sensing technology has significant advantages over traditional techniques. Remote sensing is an economical way of monitoring the water quality of water bodies and potentially offers wide spatial coverage as well as temporal changes in the concentrations of SWQPs. This study attempts to estimate concentrations of SWQPs, such as turbidity, TDS, TOC, pH, EC, and DO over the study area of the whole province of New Brunswick, Canada from Landsat 8 satellite imagery. The main purposes of this thesis are to: Evaluate the potential use of Landsat 8 satellite imagery in surface water quality studies. Model the relationships between Landsat 8 satellite multispectral data and concentration of SWQPs. Develop a spatial distribution map for each SWQP. Seven Landsat 8 satellite images were used in this study, which are freely available at level 1T on the US Geological Surveys Landsat websites (USGS). These images were atmospherically corrected, in order to remove atmospheric distortions using various atmospheric correction methods, such as Dark Object Subtraction (DOS), Quick Atmospheric Correction (QUAC), Fast Line of sight Atmospheric Analysis of Hypercubes (FLAASH), and Atmospheric Correction for OLI lite (ACOLITE). The DOS method was found more efficient and accurate in discriminating and mapping water areas. The atmospherically corrected data are correlated to forty-nine sampling points, in order to develop stepwise regression models. According to the results, a significant correlation was observed between SWQPs concentrations and atmospherically corrected satellite data. This thesis is divided into seven chapters. The following is an overview of the contents of each chapter: Chapter (1): Introduction This chapter introduces the statement of the problems, the objectives of this work, and the outlines of the thesis. Chapter (2): Review of Earth Observation Satellites This chapter presents an overview of different types of earth observation satellite systems. Chapter (3): Literature Review This chapter explains the previous research studies on monitoring and determining SWQPs using satellite imagery. Chapter (4): Geometric, Radiometric, and Atmospheric Corrections This chapter is devoted to discuss the nature of the geometric and radiometric distortions, and the types of atmospheric correction methods applied in this thesis. Chapter (5): Methodology This chapter explains in detail the different steps of estimating SWQPS using satellite imagery. Chapter (6): Results and Discussion This chapter discusses and analyzes the concentrations of SWQPs, the correlation between SWQPs and satellite imagery, and the results obtained from the developed and validated models. Chapter (7): Conclusions and Recommendations This chapter contains the conclusions and recommendations for future work based on the results. Finally, references, publications, and an Arabic summary are followed.