Volume 29, Issue 3 (Fall 2025)
jwss 2025, 29(3): 49-71 |
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Karami J, Habibi Nokhandan M, Azadi M, Rashidi Ebrahim Hesari A. Assessment of Shoreline Changes in Mazandaran Province Using Remote Sensing Data. jwss 2025; 29 (3) :49-71
URL: http://jstnar.iut.ac.ir/article-1-4477-en.html
URL: http://jstnar.iut.ac.ir/article-1-4477-en.html
Research Institute of Meteorology and Atmospheric Science, Tehran, Iran. , habibi3558@gmail.com
Abstract: (82 Views)
The present study investigates shoreline changes along the southern Caspian Sea coast in Mazandaran Province over 24 years (2000-2023) using Landsat 8 and Sentinel-2 satellite imagery. The images were obtained from the USGS and Google Earth Engine platforms, and after geometric and radiometric corrections were processed using near-infrared and shortwave Infrared bands to accurately detect the boundary between land and water. Shorelines were visually extracted from the imagery and digitized for each time interval. Spatial variations in the shoreline were analyzed using the Digital Shoreline Analysis System (DSAS) within the ArcGIS environment, applying statistical methods including Net Shoreline Movement (NSM), Shoreline Change Envelope (SCE), End Point Rate (EPR), and Linear Regression Rate (LRR). The results indicate a significant shoreline retreat in many areas of the study region, alongside a continuous decline in the Caspian Sea water level during the last decade. The integration of remote sensing analyses with atmospheric and hydrological data (temperature, precipitation, and river discharge) improved the accuracy of the results and suggests that the southern coastlines—particularly in Mazandaran—may experience more severe retreat by 2050, if current trends continue. These findings underscore the need for intelligent water resource management and the adoption of climate-adaptive policies in the region.
Keywords: Sentinel, Landsat satellite imagery, Sea-level fluctuations, Digital Shoreline Analysis System (DSAS)
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