Shoreline change detection using DSAS technique: Case of North Sinai coast, Egypt

Coastline dynamics of the northern Lower Casamance (Senegal) and southern Gambia littoral from 1968 to 2017

“…), allow the choice of one or several reference lines. This results in the diversity of media and extraction techniques on which the margin of error depends upon (Bakhoum et al, 2017, Nassar et al, 2018, Moussaid et al, 2015, Dada et al, 2019Durand 2000, Byrnes 1994, Crowell et al, 1993. In this study the limit of the vegetation is used as a reference line.…”

“…In the literature, the global error called Global Position Error of the Coastline is calculated by using the square root of the sum of the errors squared (Fletcher et al, 2003;Nassar et al, 2018, Moussaid et al, 2015, Dada et al, 2019. In this study, the value of the three errors already identified in the images has been calculated for each year.…”

“…In Senegal, particularly in the "Langue de Barbarie", a very densely inhabited sand spit bounding the Senegal River delta in the Saint-Louis region, the coastline retreat is occurring at a rate of -4.32m / year (Sy, 2013, Sadio, 2017, Ndour et al, 2018 and -2 to -7m in Gorée Island (Bakhoum et al, 2017). According to (Faye 2010, shoreline erosion is intensive in Casamance coast, particularly in Diogué, Carabane, Gnikine, Diembéring, Kafountine, Abéné and Niafrang areas.…”

Three Decades of Coastal Changes in Sindh, Pakistan (1989–2018): A Geospatial Assessment

“…Toure et al [37] reviewed various approaches used for coastline delineation from remote sensing imagery using various image processing methods. These methods to determine the coastal changes include pixel frequency count, image histogram thresholding [38], edge filter algorithm and tasseled cap transformation [18], and image classification through iterative self-organizing data analysis (ISODATA) [39]. We adopted an automatic coastline delineation method that consists of the following steps [40]: (a) band selection based on spectral profile curve of the images; (b) selection of the optimal index for coastline delineation; and (c) coastline delineation based on histogram threshold.…”

“…ENVI's X and Y coordinates and arbitrary profiles (transects) are used to generate terrain profiles perpendicular to the coastline and analyze the spectral profile curves of the final composite normalized images (i.e., image composite of all spectral bands) to identify the suitable signal bands for coastline delineation. Shortwave infrared Band 5 (1.55-1.75 µm) is well-suited to extract the land-water interface from Landsat TM [41] and OLI images [18], as it shows the highest gradient between the seawater and the land ( Figure S1). The modified normalized difference water index (MNDWI) was implemented to the images of 1989, 1999, 2009, and 2018, using the equation: Each land-water classified image was compared with their corresponding Landsat image for visual assessment and to ensure the quality of the classification results.…”