Study of Morphological Changes and Sustainable Development on the Southern Coasts of the Caspian Sea Using Remote Sensing and Gis

Abstract

Coastal areas are continuously subject to global changing and the interaction of land and sea resulting in the short-and long-term transformation. Study of beach morphology has been one of the most important issues in coastal engineering research projects. Managing and controlling the shoreline changes and behavior are essential for marine projects and integrated coastal zone management policy in such environment. In the present study, based on the available data of Guilan province region, an analysis of the coastal zone behavior is made. Based on extensive research, the bed level changes and submerged area due to a rise in sea level at different locations inside the study area are estimated and compared with those obtained from the satellite images based on remote sensing indicating a good consistency. The results of survey are presented graphically and changes in shorelines are estimated using sensors' ETM+ and OLI images from 2002 to 2013, which can be used for site selection and design of marine structures and establishing a data base for the sustainable development of the coastal zone in the study region. Laplacian filter is applied to satellite images to establish the shoreline and to clarify the effect of ports and coastal structures constructed in the study region on beach and shoreline morphological changes. This study is a combination of remote sensing and GIS methods with field observations on the ground. The innovation of this work is using Laplacian filters for shoreline detection and estimation of the sediment deposition area by calculating the distance between the observed shorelines. This will lead us to the better understanding of the effect of coastal structures on the beach morphology using satellite images. The results show the remarkable changes occurred in the shoreline due to the environmental and human-based effects during the study period.

Analysis of Shoreline Changes and Erosion and Sedimentation Patterns in Boujagh National Park Using Landsat Satellite Imagery

“…The utilization of remote sensing and GIS as a reliable approach for generating fundamental and applied data allows for understanding beach behavior at different time intervals, thereby facilitating the effective management of valuable coastal ecosystems. Previous studies conducted within the BNP area have also demonstrated shoreline displacement rates across all sections of the Sefidroud Delta, highlighting the influence of Caspian Sea fluctuations, Sefidroud River dynamics, and human factors as significant contributors [2,3,11,[14][15][16][17]. These findings align with the outcomes of our present study.…”

“…Coastal regions are constantly influenced by global changes and the dynamic interaction between land and sea, leading to both short-term and long-term transformations. The study of beach morphology plays a crucial role in coastal engineering research projects, as managing and controlling shoreline changes and behavior are vital for marine projects and integrated coastal zone management policies in such environments [2][3][4].…”

Monitoring Shoreline and Land Use/Land Cover Changes in Sandbanks Provincial Park Using Remote Sensing and Climate Data

“…Coastal areas are among the most important parts of the earth's environment [1]. Coastlines are subject to change due to the interaction of social, political, economic, climatic, and environmental drivers at the local scale [2].…”

“…With satellite technologies and their free-access data advancement, remote sensing has become an attractive and efficient option for monitoring coastal morphodynamics [8]. Shoreline extraction and configuration through remote sensing (RS) and geographic information system (GIS) data have been performed using various techniques, such as Laplacian filter [1], Digital Shoreline Analysis System (DSAS) [5,18,19], Postclassification Change Detection [15], Normalized Difference Water Index (NDWI) [20], Integrated Land and Water Information System (ILWIS) [21], Histogram band thresholding method [22], SHOREX System [23], and other automated tools [24]. For instance, the CoastSat toolkit for Python is an efficient automated tool for shoreline detection [25].…”

Analyze the Coastal Storm Impulse (Cosi) Parameter and Beach Erosion at Hasaki Coast, Japan

“…Coastal areas are one of the essential features of the global environment. The study of coastal areas has received much attention recently, because people are living in coastal areas and sea levels are rising in the oceans 1) . Coastal areas and natural beaches are facing more severe coastal storms and flooding due to global climate change.…”