Using multi-temporal and multispectral satellite data for coastal change analysis in Marmara Lake

Climate change due to global warming causes irregularity in precipitation and temperature. For this reason, rapid changes occur in coastal areas, which are of great socioeconomic importance on a global scale. One of the methods used to monitor long-term changes in coastal areas is the remote sensing method. Thanks to the Landsat satellite mission provided by NASA and USGS, regular multispectral data can be obtained from the 1970s to the present. Thanks to the DSAS tool, which is also developed by NASA and can be used via ArcGIS software, the changes of the coastlines between different dates can be monitored and the amount of change can be analyzed statistically. In this study, the changes in the coastal areas of Marmara Lake, which is an alluvial barrier lake within the borders of Manisa province, were examined in 5-year periods between 1985 and 2020. The shoreline was drawn from 8 Landsat data using MNDWI and object-based classification method. Erosion and accretion amounts were determined by DSAS on the extracted coastline and analyzed with statistical methods (EPR and LRR). Result of the study, correlation values between EPR and LRR according to R-2 and Pearson's r method were calculated as 94% and 97%, respectively.

Automated summary

Climate change leads to irregular changes in coastal areas, which can be monitored and analyzed using remote sensing methods. The DSAS tool and statistical methods play an important role in monitoring and analyzing these changes.