Detecting change-points in the time series of surfaces occupied by pre-defined NDVI categories in continental Spain from 1981 to 2015

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dc.contributor.authorMilitino, Ana F.
dc.contributor.authorUgarte Martínez, María Dolores
dc.contributor.authorPérez Goya, Unai
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute for Advanced Materials and Mathematics - INAMAT2en
dc.date.accessioned2024-01-18T10:50:53Z
dc.date.available2024-01-18T10:50:53Z
dc.date.issued2018
dc.date.updated2024-01-18T10:43:00Z
dc.description.abstractThe free access to satellite images since more than 40 years ago has provoked a rapid increase of multitemporal derived information of remote sensing data that should be summarized and analyzed for future inferences. In particular, the study of trends and trend changes is of crucial interest in many studies of phenology, climatology, agriculture, hydrology, geology or many other environmental disciplines. Overall, the normalized dierence vegetation index (NDVI), as a satellite derived variable, plays a crucial role because of its usefulness for vegetation and landscape characterization, land use and land cover mapping, environmental monitoring, climate change or crop prediction models. Since the eighties, it can be retrieved all over the world from dierent satellites. In this work we propose to analyze its temporal evolution, looking for breakpoints or change-points in trends of the surfaces occupied by four NDVI classications made in Spain from 1981 to 2015. The results show a decrease of bare soils and semi-bare soils starting in the middle nineties or before, and a slight increase of middle-vegetation and high-vegetation soils starting in 1990 and 2000 respectively.en
dc.description.sponsorshipThis research was supported by the Spanish Ministry of Economy, Industry, and Competitiveness (project MTM2017-82553-R) jointly financed with the European Regional Development Fund (FEDER), the Government of Navarre (PI015-2016 and PI043-2017 projects) and the Fundación CAN-Obra Social Caixa 2016.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMilitino, A. F., Ugarte, M. D., & Pérez-Goya, U. (2018). Detecting change-points in the time series of surfaces occupied by pre-defined ndvi categories in continental spain from 1981 to 2015. En E. Gil, E. Gil, J. Gil, & M. Á. Gil (Eds.), The Mathematics of the Uncertain (Vol. 142, pp. 295-307). Springer International Publishing. https://doi.org/10.1007/978-3-319-73848-2_28en
dc.identifier.doi10.1007/978-3-319-73848-2_28
dc.identifier.isbn978-3-319-73848-2
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/47041
dc.language.isoengen
dc.publisherSpringeren
dc.relation.ispartofGil, E.; Gil, E.; Gil, J.; Gil, M. (Editors). The Mathematics of the Uncertain. A Tribute to Pedro Gil. Springer; 2018. p. 295-307 978-3-319-73848-2en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-82553-R/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/Gobierno de Navarra//PI015-2016/
dc.relation.projectIDinfo:eu-repo/grantAgreement/Gobierno de Navarra//PI043-2017/
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-319-73848-2_28
dc.rights© 2018 Springer International Publishing AG.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectSeasonalityen
dc.subjectGIMMS NDVI3gen
dc.subjectSatellite imagesen
dc.titleDetecting change-points in the time series of surfaces occupied by pre-defined NDVI categories in continental Spain from 1981 to 2015en
dc.typeinfo:eu-repo/semantics/bookPart
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationd3c066e9-6b6f-40b0-ac34-4bb96a71bb82
relation.isAuthorOfPublicatione87ff19e-9d36-4286-989b-cafd391dff9d
relation.isAuthorOfPublication003960f8-aa6d-47ec-bec1-6bc59c3c8edb
relation.isAuthorOfPublication.latestForDiscoveryd3c066e9-6b6f-40b0-ac34-4bb96a71bb82

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