Repository logo
 
Publication

Contribution of remote sensing technologies to a holistic coastal and marine environmental management framework: a review

2020Journal article Open access
Simple item page
dc.contributor.authorEl Mahrad, Badr
dc.contributor.authorNewton, Alice
dc.contributor.authorIcely, John
dc.contributor.authorKacimi, Ilias
dc.contributor.authorAbalansa, Samuel
dc.contributor.authorSnoussi, Maria
dc.date.accessioned2020-09-16T09:59:53Z
dc.date.available2020-09-16T09:59:53Z
dc.date.issued2020
dc.description.abstractCoastal and marine management require the evaluation of multiple environmental threats and issues. However, there are gaps in the necessary data and poor access or dissemination of existing data in many countries around the world. This research identifies how remote sensing can contribute to filling these gaps so that environmental agencies, such as the United Nations Environmental Programme, European Environmental Agency, and International Union for Conservation of Nature, can better implement environmental directives in a cost-e ective manner. Remote sensing (RS) techniques generally allow for uniform data collection, with common acquisition and reporting methods, across large areas. Furthermore, these datasets are sometimes open-source, mainly when governments finance satellite missions. Some of these data can be used in holistic, coastal and marine environmental management frameworks, such as the DAPSI(W)R(M) framework (Drivers–Activities–Pressures–State changes–Impacts (on Welfare)–Responses (as Measures), an updated version of Drivers–Pressures–State–Impact–Responses. The framework is a useful and holistic problem-structuring framework that can be used to assess the causes, consequences, and responses to change in the marine environment. Six broad classifications of remote data collection technologies are reviewed for their potential contribution to integrated marine management, including Satellite-based Remote Sensing, Aerial Remote Sensing, Unmanned Aerial Vehicles, Unmanned Surface Vehicles, Unmanned Underwater Vehicles, and Static Sensors. A significant outcome of this study is practical inputs into each component of the DAPSI(W)R(M) framework. The RS applications are not expected to be all-inclusive; rather, they provide insight into the current use of the framework as a foundation for developing further holistic resource technologies for management strategies in the future. A significant outcome of this research will deliver practical insights for integrated coastal and marine management and demonstrate the usefulness of RS to support the implementation of environmental goals, descriptors, targets, and policies, such as theWater Framework Directive, Marine Strategy Framework Directive, Ocean Health Index, and United Nations Sustainable Development Goals. Additionally, the opportunities and challenges of these technologies are discussed.pt_PT
dc.description.sponsorshipMurray Foundation: 25.26022020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/rs12142313pt_PT
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/10400.1/14723
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRemote sensingpt_PT
dc.subjectDPSIRpt_PT
dc.subjectWFDpt_PT
dc.subjectMSFDpt_PT
dc.subjectCoastal and marine managementpt_PT
dc.subjectEnvironmental policies and directivespt_PT
dc.titleContribution of remote sensing technologies to a holistic coastal and marine environmental management framework: a reviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue14pt_PT
oaire.citation.startPage2313pt_PT
oaire.citation.titleRemote Sensingpt_PT
oaire.citation.volume12pt_PT
person.familyNameEl Mahrad
person.familyNameNewton
person.familyNameIcely
person.familyNameAbalansa
person.givenNameBadr
person.givenNameAlice
person.givenNameJohn
person.givenNameSamuel
person.identifier702391
person.identifier333937
person.identifier.ciencia-id1414-4FFE-F235
person.identifier.ciencia-id6F13-1247-B2B7
person.identifier.ciencia-idDF13-5BA3-D8F2
person.identifier.orcid0000-0001-6485-0539
person.identifier.orcid0000-0001-9286-5914
person.identifier.orcid0000-0002-9114-8283
person.identifier.orcid0000-0003-0715-9164
person.identifier.scopus-author-id57209271531
person.identifier.scopus-author-id7201391894
person.identifier.scopus-author-id6506626316
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationec0db23f-77b1-4d57-8011-8930aa8d0509
relation.isAuthorOfPublication636c0a22-6cf2-4324-a704-64777269e97d
relation.isAuthorOfPublicationd8d4a6eb-57ae-440b-99b9-5f981d237cdf
relation.isAuthorOfPublication970a217d-748f-4e91-9096-5bb0f91dc532
relation.isAuthorOfPublication.latestForDiscovery636c0a22-6cf2-4324-a704-64777269e97d

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
remotesensing-12-02313-v2.pdf
Size:
1.39 MB
Format:
Adobe Portable Document Format
Download

Collections

FCT2-Artigos (em revistas ou actas indexadas)