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Coastal Vulnerability Index Assessment Along the Coastline of Casablanca Using Remote Sensing and GIS Techniques.

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Názov: Coastal Vulnerability Index Assessment Along the Coastline of Casablanca Using Remote Sensing and GIS Techniques.
Autori: Muzirafuti, Anselme, Theocharidis, Christos
Zdroj: Remote Sensing; Oct2025, Vol. 17 Issue 19, p3370, 29p
Predmety: EROSION, BEACH erosion, SHORELINE monitoring, COASTS, REMOTE sensing, COASTAL mapping
Geografický termín: MOROCCO, CASABLANCA (Morocco), AFRICA
Abstrakt: Highlights: What are the main findings? DE Africa coastlines products revealed strong erosion along Casablanca's sandy shores, with a retreat up to −1.5 m/year. Coastal Vulnerabilty Index (CVI) results showed high vulnerability in low-elevation coastal zones where geomorphological landforms with low slope increase coastal exposure. What is the implication of the main finding? The study demonstrates that freely available continental-scale products can effectively capture long-term shoreline behabiour and inform coastal risk evaluation in regions lacking in-situ monitoring. The proposed GIS-based workflow can serve as a replicable model for vulnerability assessment across other African coastal environments. This study explores the potential of Digital Earth Africa (DE Africa) coastlines products for assessing the Coastal Vulnerability Index (CVI) along the Casablanca coastline, Morocco. The analysis integrates remotely sensed shoreline data with elevation, slope, and geomorphological information from ASTER GDEM and geological maps within a GIS environment. Shoreline change metrics, including Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), Linear Regression Rate (LRR), and End Point Rate (EPR), were used to evaluate erosion trends from 2000 to 2023. Results show that sandy beach areas, particularly those below 12 m elevation, are highly exposed to erosion (up to 1.5 m/yr) and vulnerable to coastal hazards. Approximately 44% and 23% of the study area were classified as having very high and high vulnerability, respectively. The results indicate that remotely sensed data and GIS techniques are valuable and cost-effective tools for multi-scale geo-hazard coastal assessment studies. The study demonstrates that DE Africa products, combined with local landscape data, provide a valuable tool for coastal vulnerability assessment and monitoring in Africa. [ABSTRACT FROM AUTHOR]
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Databáza: Complementary Index
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Abstrakt:Highlights: What are the main findings? DE Africa coastlines products revealed strong erosion along Casablanca's sandy shores, with a retreat up to −1.5 m/year. Coastal Vulnerabilty Index (CVI) results showed high vulnerability in low-elevation coastal zones where geomorphological landforms with low slope increase coastal exposure. What is the implication of the main finding? The study demonstrates that freely available continental-scale products can effectively capture long-term shoreline behabiour and inform coastal risk evaluation in regions lacking in-situ monitoring. The proposed GIS-based workflow can serve as a replicable model for vulnerability assessment across other African coastal environments. This study explores the potential of Digital Earth Africa (DE Africa) coastlines products for assessing the Coastal Vulnerability Index (CVI) along the Casablanca coastline, Morocco. The analysis integrates remotely sensed shoreline data with elevation, slope, and geomorphological information from ASTER GDEM and geological maps within a GIS environment. Shoreline change metrics, including Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), Linear Regression Rate (LRR), and End Point Rate (EPR), were used to evaluate erosion trends from 2000 to 2023. Results show that sandy beach areas, particularly those below 12 m elevation, are highly exposed to erosion (up to 1.5 m/yr) and vulnerable to coastal hazards. Approximately 44% and 23% of the study area were classified as having very high and high vulnerability, respectively. The results indicate that remotely sensed data and GIS techniques are valuable and cost-effective tools for multi-scale geo-hazard coastal assessment studies. The study demonstrates that DE Africa products, combined with local landscape data, provide a valuable tool for coastal vulnerability assessment and monitoring in Africa. [ABSTRACT FROM AUTHOR]
ISSN:20724292
DOI:10.3390/rs17193370