Publication
A minimum cross entropy approach to disaggregate agricultural data at the field level
| dc.contributor.author | Xavier, Antonio | |
| dc.contributor.author | Fragoso, Rui | |
| dc.contributor.author | Costa Freitas, M. B. | |
| dc.contributor.author | Rosario, Maria do Socorro | |
| dc.contributor.author | Valente, Florentino | |
| dc.date.accessioned | 2018-12-07T14:53:26Z | |
| dc.date.available | 2018-12-07T14:53:26Z | |
| dc.date.issued | 2018-06 | |
| dc.description.abstract | Agricultural policies have impacts on land use, the economy, and the environment and their analysis requires disaggregated data at the local level with geographical references. Thus, this study proposes a model for disaggregating agricultural data, which develops a supervised classification of satellite images by using a survey and empirical knowledge. To ensure the consistency with multiple sources of information, a minimum cross-entropy process was used. The proposed model was applied using two supervised classification algorithms and a more informative set of biophysical information. The results were validated and analyzed by considering various sources of information, showing that an entropy approach combined with supervised classifications may provide a reliable data disaggregation. | |
| dc.description.sponsorship | POCI-01-0145-FEDER-007659 | |
| dc.identifier.doi | 10.3390/land7020062 | |
| dc.identifier.issn | 2073-445X | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/11512 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | MDPI | |
| dc.subject | Remote sensing imagery | |
| dc.subject | Supervised classification | |
| dc.subject | Maximum entropy | |
| dc.subject | Spatial disaggregation | |
| dc.subject | Distribution Maps | |
| dc.subject | Land cover | |
| dc.subject | Allocation | |
| dc.subject | Gis | |
| dc.title | A minimum cross entropy approach to disaggregate agricultural data at the field level | |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/UID%2FECO%2F04007%2F2013/PT | |
| oaire.citation.issue | 2 | |
| oaire.citation.startPage | 62 | |
| oaire.citation.title | Land | |
| oaire.citation.volume | 7 | |
| oaire.fundingStream | 5876 | |
| person.familyName | Ferreira da Silva da Costa Freitas | |
| person.givenName | Maria de Belém | |
| person.identifier.ciencia-id | CF18-575C-BC6A | |
| person.identifier.orcid | 0000-0001-7645-7099 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | |
| rcaap.type | article | |
| relation.isAuthorOfPublication | b9b9952d-e4ba-463d-9907-0910b3a96480 | |
| relation.isAuthorOfPublication.latestForDiscovery | b9b9952d-e4ba-463d-9907-0910b3a96480 | |
| relation.isProjectOfPublication | 3bdc8964-5f6a-45ab-aeca-5bbcb96bf78b | |
| relation.isProjectOfPublication.latestForDiscovery | 3bdc8964-5f6a-45ab-aeca-5bbcb96bf78b |
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