Coastline evolution based on statistical analysis and modelling

Armenio, Elvira; Serio, Francesca De; Mossa, Michele; Petrillo, Antonio

doi:10.5194/nhess-2018-239

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…Ví dụ, các nghiên cứu về đất ngập nước có thể cần lấy mẫu vị trí đường bờ liên tục khoảng 10 lần/giây. Trong khi các nghiên cứu phân tích sự biến đổi lâu dài của đường bờ biển có thể yêu cầu lấy mẫu 10 đến 20 năm/lần [20,21]. Vì vậy, ranh giới giữa đất và nước thường được sử dụng để xác định đường bờ tức thời.…”

Section: Phương Pháp địA Mạo Trong Xây Dựng Bộ Chỉ Thị Xác địNh đườNg Bờunclassified

Application of Artificial Intelligence for Monitoring Shoreline Changes in the Central Coast of Vietnam

Kinh Bac

2024

EES

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The identification and monitoring of coastline and shoreline plays an important role in coastal erosion assessment. The deep learning models can be a potential tool to detect the coastlines and shorelines in Vietnam using ultra-high resolution satellite images. The aims of the study are: i) To propose a set of indicators to determine the coastlines and shoreline; ii) To build deep machine learning models that automatically interpret the coastlines and shorelines on ultra-high resolution remote sensing images; and iii) To apply developed deep learning (DL) models to monitor coastal erosion in central Vietnam. Eight DL models were implemented based on four artificial intelligence network structures, including U-Net, U2-Net, U-Net3+, and DexiNed. Satellite images collected through Google Earth Pro software were used as input for all models. As a result, the U-Net model has been effectively applied to coasts in Cu De, Lai Giang, and Bien Lo estuaries,. The output results were used to calculate the rate of erosion/accretion in these areas. Additionally, the study indicated that coastline is a suitable criterion in assessing coastal erosion under the impact of sea level rise during storms. On the other hand, shoreline is a suitable criterion in assessing tidal fluctuations or instantaneous movements of wave currents during the year.

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Section: Phương Pháp địA Mạo Trong Xây Dựng Bộ Chỉ Thị Xác địNh đườNg Bờunclassified

Application of Artificial Intelligence for Monitoring Shoreline Changes in the Central Coast of Vietnam

Kinh Bac

2024

EES

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“…The above considerations lead focusing attention on the application scale of the coastal management strategies [57][58][59]. To implement coastal engineering interventions able to effectively counter erosion processes, it is necessary to survey at least at the physiographic unit level, so that a resolving action does not have negative effects on nearby coastal zones.…”

Section: Evaluation Of Application Scalementioning

confidence: 99%

On the Need for an Integrated Large-Scale Methodology of Coastal Management: A Methodological Proposal

Armenio

Mossa

2020

JMSE

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Sustainable management of coastal areas involves dealing with problems such as coastal erosion, rapid growth in the rate of urbanization, tourism, environmental degradation associated with industrial and urban activities. Besides consideration is provided for the effects of climate change, whose scenarios also have significant consequences on coastal systems that are already extremely vulnerable and prone to many human pressures. Over the years, several international and national studies have been conducted to deepen the coastal processes. To date—despite considerable efforts—there are still problems. Two relevant priorities emerge: managing coastal risks and ensuring sustainable coastal management. In response to the above-mentioned challenges, it is worthwhile to elaborate an integrated methodology that, basing on the collection, analysis and evaluation of data, may provide an effective guideline for the successful implementation of each action, while providing timely and targeted information for the adoption of governance strategies concerning the prevention and management of marine-coastal risks. In the present study, considering what emerged in the major research projects on the coastal field during the last decades, a methodological proposal is outlined to pursue the principles of the integrated coastal zona management (ICZM) and join the managing coastal risks with sustainable uses focusing on the implementation scale.

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“…Applications on the Mediterranean coastline have been described in the paper by Kuleli on the Cukurova Delta coast (Turkey) [32], in Khouakhi & Snoussi, 2013 [33] which described the evolution of the bay of Al Hoceima in Moroccan Mediterranean coast and in Armenio et al [34] in their study on the Gulf of Manfredonia in Southern Italy.…”

Section: Introductionmentioning

confidence: 99%

A GIS Procedure to Assess Shoreline Changes over Time Using Multi-temporal Maps: An Analysis of a Sandy Shoreline in Southern Italy over the Last 100 Years

Pepe

Costantino²,

Alfio³

2023

GaEE

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The aim of the paper is to identify a methodology capable of assessing shoreline changes through a geomatic approach based on the use of GIS (Geographic Information System) software. The paper describes a case study that reports the evolution of a coastline over a period of more than 100 years using medium and large-scale metric maps available in different periods. In fact, the coastlines were obtained from the source maps of the Italian Cadastre (dated 1890), from numerical cartography available on the coastline and acquired in different period at scales 1:5000 and 1:2000 and, more recently, from the Google Earth Pro platform. To analyse the evolution of the coastline a new procedure has been performed which is based on the use of GIS software, in particular a plugin called DSAS that allows the evaluation of the changes in the coastline and also obtains a statistical analysis of its evolution. The results showed the ease and applicability of the method in determining the evolution of the coastline and the strong erosion of a stretch of coastline with important socio-economic consequences and repercussions was highlighted in the analysed case study.

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Coastline evolution based on statistical analysis and modelling

Cited by 3 publications

References 17 publications

Application of Artificial Intelligence for Monitoring Shoreline Changes in the Central Coast of Vietnam

Application of Artificial Intelligence for Monitoring Shoreline Changes in the Central Coast of Vietnam

On the Need for an Integrated Large-Scale Methodology of Coastal Management: A Methodological Proposal

A GIS Procedure to Assess Shoreline Changes over Time Using Multi-temporal Maps: An Analysis of a Sandy Shoreline in Southern Italy over the Last 100 Years

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