Coastlines detection with satellite images processing technique in part of the Gulf of Mexico

Coastal monitoring is one of the important factors in managing natural resources. The purpose of this research, was detection of the coast and coastline in year 2018 AD in the Gulfport area. In this study, data from Terra satellite, Landsat 8 satellite an Sentinel 2A were used for the studied area and the NDWI index was calculated. Reducing clouds filter was used and NDWIAster image to indicate range of land and water was filtered and thresholded. After running filter for reducing holes and noises on maked image, it was considered as coast. Then, with running an edge detector filter on the coast image, the coastline was detected. The precision of detection of coast and coastline was calculated based on a reference image with the quantities of PSNR, SSIM and Correlation coefficient. The numerical results showed that the best edge detector filter was Robinsons' filter. The amount of cloud cover on processed images and the spatial resolution of the images are factors that have impressed to detection quality.