4th Intercontinental Geoinformation Days, Tabriz, Iran, 20 - 21 June 2022, vol.1, pp.218-221
In this study, automatic shoreline extraction was performed using different indexes in the
coastal region containing different land cover types and their performances were compared.
For this purpose, Landsat 9 Satellite images, the newest satellite of Landsat, were used.
Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI),
Automated Water Extraction Index (AWEI), Water Ratio Index (WRI), and Normalized
Difference Moisture Index (NDMI), which are frequently preferred in the literature, are used
automatically to determine the shoreline. The obtained shorelines were compared with the
reference shoreline and their performances were evaluated. In the performance evaluation
phase, the behavior of the shoreline inference indices in different land cover types adjacent to
the shore was examined and their advantages and disadvantages compared to each other were
revealed. The results showed that AWEI, NDWI, WRI, NDMI and NDVI gave the most accurate
results in automatic shoreline inference across the study area, respectively. Although AWEI
still gives a high accuracy in different land cover types, it is seen that the accuracy of NDVI
increases in the region where vegetation is adjacent to the shore.