Document Type : Original Article

Authors

• sayyad asghari Saraskanroud ¹
• sina khonkham ²
• ozra abdi ¹

¹ Department of Physical Geography, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.

² - Department of Physical Geography, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.

Abstract

In recent years, remote sensing data have played an important role in natural resource management studies, especially in water resources research. Among the studies related to water resources, the use of water indicators has been highly considered. With the advancement of technology and the production of satellite images, these indicators have grown and developed more and their accuracy has increased significantly. In this research, Landsat 8 and Sentinel 2A images related to a 9-year period have been used to analyze and identify water areas in the target area. The indices used in the research are NDWI, NDWIPlus, MNDWI, WRI and AWEI indices in two shaded and unshaded versions. The results showed that the AWEIshadow index with an average kappa coefficient of 0.9901 in Sentinel and 0.9692 in Landsat 8 was the best index and the worst result was AWEINoShadow index with an average kappa coefficient of 0.4997 in Sentinel and 0.618 in Landsat 8 for water identification.The results of this research showed that the use of water extraction indicators and high-precision satellite images can be an effective tool for monitoring and sustainable management of water resources. The results can help planners and managers to make more optimal decisions regarding the protection and exploitation of natural resources

Keywords

• Remote sensing
• water index
• Zaribar Lake

Main Subjects

• Remote sensing and Gis