Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33267
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dc.contributor.authorRenó, Vivian Fróesen_UK
dc.contributor.authorNovo, Evlyn Márcia Leão de Moraesen_UK
dc.contributor.authorSuemitsu, Chienoen_UK
dc.contributor.authorRennó, Camilo Dalelesen_UK
dc.contributor.authorSilva, Thiago Sanna Freireen_UK
dc.date.accessioned2021-09-09T00:08:00Z-
dc.date.available2021-09-09T00:08:00Z-
dc.date.issued2011-12-15en_UK
dc.identifier.urihttp://hdl.handle.net/1893/33267-
dc.description.abstractThe floodplain forests bordering the Amazon River have outstanding ecological, economic, and social importance for the region. However, the original distribution of these forests is not well known, since they have suffered severe degradation since the 16th century. The previously published vegetation map of the Amazon River floodplain (Hess et al., 2003), based on data acquired in 1996, shows enormous difference in vegetation cover classes between the regions upstream and downstream of the city of Manaus. The upper floodplain is mostly covered by forests, while the lower floodplain is predominantly occupied by grasses and shrubs. This study assesses deforestation in the Lower Amazon floodplain over a ~ 30 year period by producing and comparing a historical vegetation map based on MSS/Landsat images acquired in the late 1970s with a recent vegetation map produced from TM/Landsat images obtained in 2008. The maps were generated through the following steps: 1) normalization and mosaicking of images for each decade; 2) application of a linear mixing model transformation to produce vegetation, soil and shade fraction-images; and 3) object-oriented image analysis and classification. For both maps, the following classes were mapped: floodplain forest, non-forest floodplain vegetation, bare soil and open water. The two maps were combined using object-level Boolean operations to identify time transitions among the mapped classes, resulting in a map of the land cover change occurred over ~ 30 years. Ground information collected at 168 ground points was used to build confusion matrices and calculate Kappa indices of agreement. A survey strategy combining field observations and interviews allowed the collection of information about both recent and historical land cover for validation purposes. Kappa values (0.77, 0.75 and 0.75) indicated the good quality of the maps, and the error estimates were used to adjust the estimated deforested area to a value of 3457 km2 ± 1062 km2 (95% CI) of floodplain deforestation over the ~ 30 years.en_UK
dc.language.isoenen_UK
dc.publisherElsevier Inc.en_UK
dc.relationRenó VF, Novo EMLdM, Suemitsu C, Rennó CD & Silva TSF (2011) Assessment of deforestation in the Lower Amazon floodplain using historical Landsat MSS/TM imagery. Remote Sensing of Environment, 115 (12), pp. 3446-3456. https://doi.org/10.1016/j.rse.2011.08.008en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectAmazonen_UK
dc.subjectDeforestationen_UK
dc.subjectFloodplain foresten_UK
dc.subjectLand cover changeen_UK
dc.subjectLandsaten_UK
dc.subjectObject-oriented analysisen_UK
dc.titleAssessment of deforestation in the Lower Amazon floodplain using historical Landsat MSS/TM imageryen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-31en_UK
dc.rights.embargoreason[1-s2.0-S0034425711002902-main.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1016/j.rse.2011.08.008en_UK
dc.citation.jtitleRemote Sensing of Environmenten_UK
dc.citation.issn0034-4257en_UK
dc.citation.volume115en_UK
dc.citation.issue12en_UK
dc.citation.spage3446en_UK
dc.citation.epage3456en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderBrazilian National Research Councilen_UK
dc.author.emailthiago.sf.silva@stir.ac.uken_UK
dc.citation.date20/09/2011en_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas Espaciais (INPE)en_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas Espaciais (INPE)en_UK
dc.contributor.affiliationUniversidade Federal do Pará (UFPA)en_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas Espaciais (INPE)en_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas Espaciaisen_UK
dc.identifier.isiWOS:000298311300040en_UK
dc.identifier.scopusid2-s2.0-81355148837en_UK
dc.identifier.wtid1239034en_UK
dc.contributor.orcid0000-0001-8174-0489en_UK
dc.date.accepted2011-08-12en_UK
dcterms.dateAccepted2011-08-12en_UK
dc.date.filedepositdate2021-09-08en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorRenó, Vivian Fróes|en_UK
local.rioxx.authorNovo, Evlyn Márcia Leão de Moraes|en_UK
local.rioxx.authorSuemitsu, Chieno|en_UK
local.rioxx.authorRennó, Camilo Daleles|en_UK
local.rioxx.authorSilva, Thiago Sanna Freire|0000-0001-8174-0489en_UK
local.rioxx.projectProject ID unknown|Brazilian National Research Council|en_UK
local.rioxx.freetoreaddate2261-08-21en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filename1-s2.0-S0034425711002902-main.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0034-4257en_UK
Appears in Collections:Biological and Environmental Sciences Journal Articles

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