Please use this identifier to cite or link to this item: https://hdl.handle.net/10316.2/44698
DC FieldValueLanguage
dc.contributor.authorOtón, Gonzalo
dc.contributor.authorRamo, Rubén
dc.contributor.authorLizundia-Loiola, Joshua
dc.contributor.authorChuvieco, Emilio
dc.date.accessioned2018-11-11T15:02:35Z
dc.date.accessioned2020-09-06T17:31:05Z-
dc.date.available2018-11-11T15:02:35Z
dc.date.available2020-09-06T17:31:05Z-
dc.date.issued2018-
dc.identifier.isbn978-989-26-16-506 (PDF)
dc.identifier.urihttps://hdl.handle.net/10316.2/44698-
dc.language.isoeng-
dc.publisherImprensa da Universidade de Coimbrapor
dc.relation.ispartofhttp://hdl.handle.net/10316.2/44517por
dc.rightsopen access-
dc.subjectRemote sensingeng
dc.subjectBurn areaeng
dc.subjectVHRR-LTDReng
dc.subjectMultitemporaleng
dc.subjectRandom Foresteng
dc.titleGlobal generation of long-term burned area with AVHRR-LTDR datapor
dc.typebookPartpor
uc.publication.firstPage1369-
uc.publication.lastPage1372-
uc.publication.locationCoimbrapor
dc.identifier.doi10.14195/978-989-26-16-506_181-
uc.publication.sectionChapter 7 - Short Contributionspor
uc.publication.digCollectionPBpor
uc.publication.orderno181-
uc.publication.areaCiências da Engenharia e Tecnologiaspor
uc.publication.bookTitleAdvances in forest fire research 2018-
uc.publication.manifesthttps://dl.uc.pt/json/iiif/10316.2/44698/203951/manifest?manifest=/json/iiif/10316.2/44698/203951/manifest-
uc.publication.thumbnailhttps://dl.uc.pt/retrieve/11056711-
uc.publication.parentItemId55072-
uc.itemId68782-
item.fulltextWith Fulltext-
item.grantfulltextopen-
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