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Remote Sensing and GIS Based Coastal Disaster Monitoring

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 2535

Special Issue Editors


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Guest Editor
The Institute for Air, Nutrient, Soil, Water, Ecosystem, and Remote Sensing (ANSWERS), Department of Urban Forestry and Natural Resources, College of Agricultural, Family and Consumer Sciences, Room 102C Fisher Hall, Southern University and A&M College, Baton Rouge, LA 70813, USA
Interests: GIS, remote sensing; urban environments, climate and global environmental change, land and sea surface temperature, sustainable development, environmental degradation, energy policy, biophysical modeling of ecosystem services, natural resource management including biodiversity conservation policies, land-use planning and management, terrestrial ecosystems including coastal and tropical forest ecology, the impacts of global change on biodiversity, climate change adaptation and mitigation policies

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Guest Editor
South Africa Water Research Commission, Private Bag x03, Gezina, 0031 Pretoria, South Africa
Interests: applications of GIS and remote sensing in global change (climate change); natural resource management; aquatic resources; monitoring estuaries and wetlands; rural development and agriculture; public health and epidemiology

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Guest Editor
Department of Ecology and Resource Management, School of Environmental Sciences, University of Venda, Private Bag X5050, 0950 Thohoyandou, South Africa
Interests: remote sensing for water application; food security; alien plant invasion; machine learning; infectious diseases mapping; vegetation studies

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Guest Editor
Department of Civil Engineering / DICIV, University of Salerno, 84084 Salerno, Italy
Interests: radar measurement and modelling of sea waves; wave radar; wave extremes; wave and wind motion surveys and applications of weather forecasting and now-casting; coastal risk analysis wave motion and coastal erosion

Special Issue Information

Dear Colleagues,

Coastal areas around the globe have come under intense pressure due to multiple reasons. High population growth, urban development coupled with the construction of fish ponds, dredging, and the mining of the seashore sand for building purposes has resulted in serious environmental problems leading to loss of biodiversity, coastal submergence, flooding, and erosion due to relative sea level. Human-made environmental disasters and natural catastrophes have featured prominently in recent years. Coastal systems have not been spared, and this further affects the key role they continue to serve as the greatest economic hubs while hosting significant biodiversity. For the sustainability of our coastal environment, there is the need to utilize technology that could be used to measure and reduce hazards and vulnerability of coastal ecological systems. Geographic Information Systems (GIS) and remote sensing can play an important role. Remote sensing data represents a powerful tool to understand the coastal processes where the images allow a synoptic view of the area and provide relation between coastal environment and vegetation and multi-temporal information. Improved observation, process understanding and modelling of the coastal systems through integration of these tools will deliver more robust information on the timing, extent and nature of likelihood of disasters, together with the corresponding anthropogenic disturbances.

This Special Issue, therefore, calls for articles that cover applications of remote sensing and GIS that will include, amongst others, i) monitoring, mapping, tracking and understanding of the disasters affecting coastal systems, ii) monitoring the response of coastal and marine ecosystems and associated services to global and climate change including anthropogenic influence, and iii) understanding the response and resilience of coastal and marine ecosystems. The focus should also be on ecologically sustainable coastal development looking vulnerability, risks and adaptive capacity.

Prof. Dr. Yaw A. Twumasi
Dr. Brilliant Petja
Dr. Oupa E. Malahlela
Prof. Dr. Eugenio Pugliese Carratelli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • GIS
  • Remote sensing
  • Coastal hazards
  • Vulnerability

Published Papers (1 paper)

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Research

24 pages, 6526 KiB  
Article
Land Use/Land Cover Optimized SAR Coherence Analysis for Rapid Coastal Disaster Monitoring: The Impact of the Emma Storm in Southern Spain
by Pedro Andrés Garzo and Tomás Fernández-Montblanc
Remote Sens. 2023, 15(13), 3233; https://doi.org/10.3390/rs15133233 - 22 Jun 2023
Cited by 1 | Viewed by 1132
Abstract
The high exposure of coastal areas worldwide to natural and anthropogenic disasters emphasizes the relevance of disaster management processes that ensure a prompt damage detection and identification of affected areas. This paper aimed to develop a novel approach for disaster monitoring in coastal [...] Read more.
The high exposure of coastal areas worldwide to natural and anthropogenic disasters emphasizes the relevance of disaster management processes that ensure a prompt damage detection and identification of affected areas. This paper aimed to develop a novel approach for disaster monitoring in coastal areas using SAR data. The method was based on an interferometric coherence difference analysis of Sentinel 1 data. To calibrate and validate the method, the Emma Storm, a severe coastal storm that affected the southwest coast of the Iberian Peninsula in 2018, was chosen as a case study. A coastal land use/land cover method optimization by optical and UAV field data resulted in an overall improvement of about 20% in the identification of disaster-affected areas by reducing false alarms by up to 33%. Finally, the method achieved hit and false alarm rates of about 80% and 20%, respectively, leading to the identification of approximately 30% (7000 ha) of the study area as being affected by the storm. Marshes and vegetated dunes were the most significantly impacted covers. In addition, SAR data enabled the impact assessment with a time lag of 2 days, contrasting the 25-day delay of optical data. The proposed method stands out as a valuable tool for regional-scale coastal disaster monitoring. In addition, it can be automated and operated at a low cost, making it a valuable tool for decision-making support. Full article
(This article belongs to the Special Issue Remote Sensing and GIS Based Coastal Disaster Monitoring)
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