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An approach using entropy and supervised classifications to disaggregate agricultural data at a local level

2019-12Journal article Restricted
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dc.contributor.authorXavier, Antonio
dc.contributor.authorFragoso, Rui
dc.contributor.authorCosta Freitas, M. B.
dc.contributor.authorRosario, Maria do Socorro
dc.date.accessioned2020-07-24T10:50:45Z
dc.date.available2020-07-24T10:50:45Z
dc.date.issued2019-12
dc.description.abstractChanges in the Common Agricultural Policy (CAP) had several consequences on land-use and on the environment. This calls for detailed disaggregated agricultural data with precise geographical references. To tackle such problems data disaggregation processes are needed and a series of studies are being carried out at international level, which still have not taken the utmost advantage of remote sensing technologies by combining them with mathematical programming methods, namely entropy. Therefore, the objective of this article was to provide an approach to disaggregate agricultural data at the local level, taking advantage of the existent up-to-date satellite imagery and an entropy approach for manage different sets of data. The results were compared with other approaches and showed to be coherent, and may be improved further with the inclusion of other information.
dc.description.sponsorshipFEDER/COMPETEEuropean Union (EU) [POCI-01-0145-FEDER-007659]
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1007/s40953-018-0143-6
dc.identifier.issn0971-1554
dc.identifier.urihttp://hdl.handle.net/10400.1/14149
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.subjectCrop distribution maps
dc.subjectSpatial disaggregation
dc.subjectMaximum entropy
dc.subjectSupervised classification
dc.subjectSatellite imagery
dc.subjectAgricultural data
dc.subjectEntropy
dc.titleAn approach using entropy and supervised classifications to disaggregate agricultural data at a local level
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FECO%2F04007%2F2013/PT
oaire.citation.endPage779
oaire.citation.issue4
oaire.citation.startPage763
oaire.citation.titleJournal of Quantitative Economics
oaire.citation.volume17
oaire.fundingStream5876
person.familyNameFerreira da Silva da Costa Freitas
person.givenNameMaria de Belém
person.identifier.ciencia-idCF18-575C-BC6A
person.identifier.orcid0000-0001-7645-7099
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccess
rcaap.typearticle
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relation.isAuthorOfPublication.latestForDiscoveryb9b9952d-e4ba-463d-9907-0910b3a96480
relation.isProjectOfPublication3bdc8964-5f6a-45ab-aeca-5bbcb96bf78b
relation.isProjectOfPublication.latestForDiscovery3bdc8964-5f6a-45ab-aeca-5bbcb96bf78b

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