%0 Journal Article
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@tertiarymark Trabalho Vinculado à Tese/Dissertação
%@nexthigherunit 8JMKD3MGPCW/3EQCCU5
%@nexthigherunit 8JMKD3MGPCW/3ER446E
%@nexthigherunit 8JMKD3MGPCW/3EU2H28
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JH39
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JGN2
%X The 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.
%8 Dec.
%N 12
%T Assessment of deforestation in the Lower Amazon floodplain using historical Landsat MSS/TM imagery
%@electronicmailaddress
%@electronicmailaddress evlyn@ltid.inpe.br
%@electronicmailaddress
%@electronicmailaddress camilo@dpi.inpe.br
%@secondarytype PRE PI
%K Amazon, Deforestation, Floodplain forest, Land cover change, Landsat, Object-oriented analysis.
%@archivingpolicy denypublisher allowfinaldraft24
%@usergroup administrator
%@usergroup lattes
%@usergroup secretaria.cpa@dir.inpe.br
%@group OBT-OBT-INPE-MCT-BR
%@group DSR-OBT-INPE-MCT-BR
%@group
%@group DPI-OBT-INPE-MCT-BR
%@group OBT-OBT-INPE-MCT-BR
%@e-mailaddress evlyn@ltid.inpe.br
%3 Reno-RemSenEnv-1-s2.0-S0034425711002902-main[1].pdf
%@secondarymark A1_CIÊNCIAS_AGRÁRIAS_I A2_CIÊNCIAS_BIOLÓGICAS_I A1_ECOLOGIA_E_MEIO_AMBIENTE A2_ENGENHARIAS_I A1_GEOCIÊNCIAS A1_INTERDISCIPLINAR
%F lattes: 9857505876280820 2 RenóNovSueRenSil:2011:AsDeLo
%@issn 0034-4257
%2 dpi.inpe.br/plutao/2011/11.23.17.52.09
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation UFPA-Universidade Federal do Pará, Campus de Santarém. Avenida Marechal Rondon s/n. 68040-070, Santarém-PA, Brazil
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@project FAPESP 08/07537-1, CNPQ 133327/2008-6
%B Remote Sensing of Environment
%@versiontype publisher
%P 3446-3456
%4 dpi.inpe.br/plutao/2011/11.23.17.52
%@documentstage not transferred
%D 2011
%V 115
%@doi 10.1016/j.rse.2011.08.008
%A Renó, Vivian F.,
%A Novo, Evlyn Márcia Leão de Moraes,
%A Suemitsu, Chieno,
%A Rennó, Camilo Daleles,
%A Silva, Thiago S. F.,
%@dissemination WEBSCI; PORTALCAPES; MGA; COMPENDEX.
%@area SRE