Surface Area Evaluation of Mosul Dom Lake Using Satellite Imagery Technique

Abstract

Due to water resources such as Tigris and Euphrates rivers, tributaries branches, marshlands and lakes, Iraq is considered, generally in the world and especially in Middle East, as one of the richest countries. These resources are already affected by the consequences of climate change increasingly.One of the most vital projects in Iraq is Mosul Dam (in the northern of Iraq), thus, Mosul Dam lake (MDL), in term of surface area, was observed and studied during the prior 35 years to detect the effects of historical climate changes on surface area. Satellite data of Landsat has been used in this study based on route 170 and line 35. Best and cloud-free satellite images were downloaded from US Geological Survey. Eventually, ArcGIS technique was used to process and analyze the satellite images. The result displayed that average surface area and parameter of study area was about 242 km 2 and 432 km consecutively. Relationship between surface area (A) and parameter (P) of study area has been generated and formulated. Furthermore, the correlation coefficient between surface area and parameter was about 71%. Coefficient of variance (COV) was found also to be about

Change Detection in Mosul Dam Lake, North of Iraq Using Remote Sensing and Gis Techniques

“…In this manner, the utilization of the (NDWI) approach enhance water's reflectance features by reducing the low reflectance of Near Infrared (NIR) and improving the reflectance in green wavelength (25,35). Many studies focused on using remote sensing and GIS techniques to detect the changes in Landsat images, these studies are: Mahir Mahmod H. evaluated water surface area for a period from The results indicated that the water layer suffered a pattern of changes concerning the water of the surface area (24). Issa E. Issa calculated the Storage capacity and water surface area of the Mosul reservoir used two satellite images in 1986 and 2011 by The Triangular Irregular Network TIN maps (17).…”

Surface roughness distribution map for Iraq using satellite data and GIS techniques

“…Nowadays, the GIS/RS approach and satellite data are widely accessible and free (Hasan et al 2014;Hason et al 2020). Thus, new methods have been revealed to identify roughness efficiently and draw surface roughness maps for different areas by using mathematical relations, look-up tables, and inference for a quick exploration and wide areas in large applications (Hornberger and Boyer 1995;Paniconi et al 1999;Vieux 2001;Burian et al 2002).…”