Multitemporal Satellite Imagery for Monitoring Water and Vegetation Dynamics on the Surface of Zrewar Lake

Subject Areas : GIS

Dawod  Heidari ¹ (M.Sc. Remote Sensing and GIS, Science and Research Branch, Islamic Azad University, Tehran, Iran.)
Zahra  Azizi ² (Assistant Professor, Department of Remote Sensing and GIS, Science and Research Branch, Islamic Azad University, Tehran, Iran. *(Corresponding Author))
Saed  behzadi ³ (Assistant Professor, Department of Surveying Engineering, Shahid Rajaei Teacher Training University, Tehran, Iran.)

Received: 2019-07-16 Accepted : 2021-07-19 Published : 2023-06-22

Keywords: Zarivar (Zrebar) lake, satellite imagery, multitemporal analysis,

Abstract :

Background and Objective: Remote sensing science plays a crucial role in the management of water resources, particularly in monitoring changes in these resources. Recently, Zarivar lake has garnered attention from various environmental organizations due to concerns about its future based on observed changes. The objective of this study is to monitor and evaluate changes in the surface area of Zarivar lake using remote sensing techniques. Material and Methodology: In order to achieve this objective, Landsat satellite images from 1985 to 2015 were obtained and subjected to radiometric processing, classification, and extraction of vegetation indices. This allowed for the separation of the lake water surface from surrounding vegetation and soil. Findings: Analysis of the data revealed that there was no significant difference in the change of water level in Zarivar Lake over the 30-year period studied. Discussion and Conclusion: Despite concerns about Zarivar lake's future, our findings suggest that there has been no significant change in its water level over time. However, it is important to note that sediment buildup on the lake floor and elimination of its margins have resulted in a decrease in volume without a corresponding decrease in surface area.

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