You are in:Home/Publications/Performance Evaluation of Shoreline Extraction Methods Based on Remote Sensing Data

Dr. Ahmed saber taha mitwali soliman :: Publications:

Performance Evaluation of Shoreline Extraction Methods Based on Remote Sensing Data
Authors: Sameh B. El Kafrawy; Mohamed E. Basiouny;Essam A.Ghanem; Ahmed S. Taha, 3*
Year: 2017
Keywords: Shoreline; shoreline detection; coastal zones monitoring; Ras El-Hekma.
Journal: Journal of Geography, Environment and Earth Science International
Volume: 11
Issue: 4
Pages: 1-18
Publisher: SCIENCEDOMAIN international
Local/International: International
Paper Link:
Full paper Ahmed saber taha mitwali soliman_Taha1142017JGEESI36233.pdf
Supplementary materials Not Available

Coastal zones monitoring is an important task in sustainable development and environmental protection. For coastal zones monitoring, shoreline extraction is a fundamental work. The shoreline is defined as a line of contact between land and water body. The main purposes of this study were to compare and evaluate six of shoreline extraction methods based on remotely sensed data. Those methods were digitizing, Thresholding band ratio, and classification, Normalized difference water index (NDWI), Normalized Difference Vegetation Index (NDVI), and Improved method. Those methods were applied on landsat8 2015 image to extract the shorelines position for Ras El-Hekma coastal zone. The extracted shorelines were compared with reference 2015 shoreline which detected by high resolution image Pleiades B1 (0.50 m) special resolution. A comparative study has been done depending on four evaluation criteria. The results show that all shorelines which are extracted by six methods are accepted which 90% of shifting distances with in one pixel (30 m), but The shoreline extracted by Thresholding band ratio method is the most one closed to the true shoreline where the mean value is 11.04 m, RMSE is 9.54 m about one third the value of the pixel size (30 m) of landsat 8 image, and 94.44% of the shoreline segments lie within 1 pixel distance of the true shoreline. The fourth evaluation criteria D90% is 22.35 m, which 90% of shifting distances between extracted and true shoreline is ling in.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus