An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated Coastal Management—A Case Study, Ezbet Elborg, Nile Delta, Egypt

Monitoring the dynamic behavior of shorelines is an essential factor for integrated coastal management (ICM). In this study, satellite-derived shorelines and corresponding eroded and accreted areas of coastal zones have been calculated and assessed for 15 km along the coasts of Ezbet Elborg, Nile De...

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Main Authors: Mohamed T. Elnabwy, Emad Elbeltagi, Mahmoud M. El Banna, Mohamed M.Y. Elshikh, Ibrahim Motawa, Mosbeh R. Kaloop
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/9/4/199
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author Mohamed T. Elnabwy
Emad Elbeltagi
Mahmoud M. El Banna
Mohamed M.Y. Elshikh
Ibrahim Motawa
Mosbeh R. Kaloop
author_facet Mohamed T. Elnabwy
Emad Elbeltagi
Mahmoud M. El Banna
Mohamed M.Y. Elshikh
Ibrahim Motawa
Mosbeh R. Kaloop
author_sort Mohamed T. Elnabwy
collection DOAJ
description Monitoring the dynamic behavior of shorelines is an essential factor for integrated coastal management (ICM). In this study, satellite-derived shorelines and corresponding eroded and accreted areas of coastal zones have been calculated and assessed for 15 km along the coasts of Ezbet Elborg, Nile Delta, Egypt. A developed approach is designed based on Landsat satellite images combined with GIS to estimate an accurate shoreline changes and study the effect of seawalls on it. Landsat images for the period from 1985 to 2018 are rectified and classified using Supported Vector Machines (SVMs) and then processed using ArcGIS to estimate the effectiveness of the seawall that was constructed in year 2000. Accuracy assessment results show that the SVMs improve images accuracy up to 92.62% and the detected shoreline by the proposed method is highly correlated (0.87) with RTK-GPS measurements. In addition, the shoreline change analysis presents that a dramatic erosion of 2.1 km<sup>2</sup> east of Ezbet Elborg seawall has occurred. Also, the total accretion areas are equal to 4.40 km<sup>2</sup> and 10.50 km<sup>2</sup> in between 1985-and-2000 and 2000-and-2018, respectively, along the southeast side of the study area.
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spelling doaj.art-649facf3118448598dd761d02f935b102023-11-16T14:29:36ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-03-019419910.3390/ijgi9040199An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated Coastal Management—A Case Study, Ezbet Elborg, Nile Delta, EgyptMohamed T. Elnabwy0Emad Elbeltagi1Mahmoud M. El Banna2Mohamed M.Y. Elshikh3Ibrahim Motawa4Mosbeh R. Kaloop5Structural Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, EgyptStructural Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, EgyptCoastal Research Institute (CORI), National Water Research Center, Alexandria 21415, EgyptStructural Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, EgyptStructural Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, EgyptPublic Works Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, EgyptMonitoring the dynamic behavior of shorelines is an essential factor for integrated coastal management (ICM). In this study, satellite-derived shorelines and corresponding eroded and accreted areas of coastal zones have been calculated and assessed for 15 km along the coasts of Ezbet Elborg, Nile Delta, Egypt. A developed approach is designed based on Landsat satellite images combined with GIS to estimate an accurate shoreline changes and study the effect of seawalls on it. Landsat images for the period from 1985 to 2018 are rectified and classified using Supported Vector Machines (SVMs) and then processed using ArcGIS to estimate the effectiveness of the seawall that was constructed in year 2000. Accuracy assessment results show that the SVMs improve images accuracy up to 92.62% and the detected shoreline by the proposed method is highly correlated (0.87) with RTK-GPS measurements. In addition, the shoreline change analysis presents that a dramatic erosion of 2.1 km<sup>2</sup> east of Ezbet Elborg seawall has occurred. Also, the total accretion areas are equal to 4.40 km<sup>2</sup> and 10.50 km<sup>2</sup> in between 1985-and-2000 and 2000-and-2018, respectively, along the southeast side of the study area.https://www.mdpi.com/2220-9964/9/4/199integrated coastal managementNile DeltaGISLandsat imagessupported vector machinesaccuracy assessment
spellingShingle Mohamed T. Elnabwy
Emad Elbeltagi
Mahmoud M. El Banna
Mohamed M.Y. Elshikh
Ibrahim Motawa
Mosbeh R. Kaloop
An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated Coastal Management—A Case Study, Ezbet Elborg, Nile Delta, Egypt
ISPRS International Journal of Geo-Information
integrated coastal management
Nile Delta
GIS
Landsat images
supported vector machines
accuracy assessment
title An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated Coastal Management—A Case Study, Ezbet Elborg, Nile Delta, Egypt
title_full An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated Coastal Management—A Case Study, Ezbet Elborg, Nile Delta, Egypt
title_fullStr An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated Coastal Management—A Case Study, Ezbet Elborg, Nile Delta, Egypt
title_full_unstemmed An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated Coastal Management—A Case Study, Ezbet Elborg, Nile Delta, Egypt
title_short An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated Coastal Management—A Case Study, Ezbet Elborg, Nile Delta, Egypt
title_sort approach based on landsat images for shoreline monitoring to support integrated coastal management a case study ezbet elborg nile delta egypt
topic integrated coastal management
Nile Delta
GIS
Landsat images
supported vector machines
accuracy assessment
url https://www.mdpi.com/2220-9964/9/4/199
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