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Application of free satellite imagery to map ecosystem services in Ungwana Bay, Kenya

2023-03-28Artigo científico Acesso aberto
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dc.contributor.authorMathai, Daina
dc.contributor.authorVitorino Cristina, Sónia
dc.contributor.authorOwuor, Margaret Awuor
dc.date.accessioned2023-04-13T09:37:18Z
dc.date.available2023-04-13T09:37:18Z
dc.date.issued2023-03-28
dc.date.updated2023-04-12T13:24:21Z
dc.description.abstractA major obstacle to mapping Ecosystem Services (ES) and the application of the ES concept has been the inadequacy of data at the landscape level necessary for their quantification. This study takes advantage of free satellite imagery to map and provide relevant information regarding ES and contribute to the sustainable management of natural resources in developing countries. The aim is to assess the flow of ES in mangrove ecosystem of Ungwana Bay, located on the northern coast of Kenya, by adopting the Land Use Land Cover (LULC) matrix approach. This study characterized LULC classes present in the study area, identified the most important ES, and collected data on expert opinions via a survey on ES flow supplied by the mangrove ecosystem. A qualitative and quantitative analysis of the expert scoring produced a LULC matrix which, when integrated with the LULC maps, showed the spatial distribution of ES flow. The assessment indicates very high flow (5.0) for the regulating and supporting services, high flow (4.0) for the cultural services, and medium flow (3.0) for the provisioning services as supplied by mangroves. In addition, the analysis indicates there are sixteen major ES supplied by the mangrove ecosystem of Ungwana bay as of the year 2021. This study highlights the importance of mangroves as a coastal ecosystem and how the visualization of the spatial distribution of ES flow using maps can be useful in informing natural resource management. In addition, the study shows the possibilities of using freely accessible satellite imagery and software to bolster the ES assessment studies lacking in developing countries.pt_PT
dc.description.sponsorshipProgram in Water and Coastal Management in the 2018/2019 class (WACOMA); Project num. 586596-EPP-1-2017-1-IT-EPPKA1-JMD-MOB; LA/P/0069/2020; Contract No. WIOMSA/2021/CITIES&COASTS/OB/2021/02;pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRemote Sensing 15 (7): 1802 (2023)pt_PT
dc.identifier.doi10.3390/rs15071802pt_PT
dc.identifier.eissn2072-4292
dc.identifier.urihttp://hdl.handle.net/10400.1/19448
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationNot Available
dc.relationCentre for Marine and Environmental Research (CIMA)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMappingpt_PT
dc.subjectEcosystem service flowpt_PT
dc.subjectSatellite remote sensingpt_PT
dc.subjectMangrovept_PT
dc.subjectKenyapt_PT
dc.titleApplication of free satellite imagery to map ecosystem services in Ungwana Bay, Kenyapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNot Available
oaire.awardTitleCentre for Marine and Environmental Research (CIMA)
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F01635%2F2017%2FCP1397%2FCT0004/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00350%2F2020/PT
oaire.citation.issue7pt_PT
oaire.citation.startPage1802pt_PT
oaire.citation.titleRemote Sensingpt_PT
oaire.citation.volume15pt_PT
oaire.fundingStreamCEEC IND 2017
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMathai
person.familyNameCristina
person.givenNameDaina
person.givenNameSónia
person.identifier2663260
person.identifier.orcid0000-0002-9890-5304
person.identifier.orcid0000-0002-5716-9750
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationc5b2412b-a6ba-4e61-89fc-d779f87e4430
relation.isAuthorOfPublicationc667b6f1-a4fa-4519-be5a-26e6b98f4ce7
relation.isAuthorOfPublication.latestForDiscoveryc5b2412b-a6ba-4e61-89fc-d779f87e4430
relation.isProjectOfPublication7739d3f8-129e-4540-b809-34be5149cf0f
relation.isProjectOfPublication62b4d568-8b21-464c-97ed-de826eab4136
relation.isProjectOfPublication.latestForDiscovery62b4d568-8b21-464c-97ed-de826eab4136

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