Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/902116
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dc.contributor.authorLU, D.pt_BR
dc.contributor.authorLI, G.pt_BR
dc.contributor.authorBATISTELLA, M.pt_BR
dc.contributor.authorFREITAS, C. C.pt_BR
dc.date.accessioned2014-09-17T07:35:31Z-
dc.date.available2014-09-17T07:35:31Z-
dc.date.created2011-10-03pt_BR
dc.date.issued2011pt_BR
dc.identifier.citationISPRS Journal of Photogrammetry and Remote Sensing, v. 66, p. 798-808, 2011.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/902116pt_BR
dc.descriptionThis research explored the integrated use of Landsat Thematic Mapper (TM) and radar (i.e., ALOS PALSAR L-band and RADARSAT-2 C-band) data for mapping impervious surface distribution to examine the roles of radar data with different spatial resolutions and wavelengths. The wavelet-merging technique was used to merge TM and radar data to generate a new dataset. A constrained least-squares solution was used to unmix TM multispectral data and multisensor fusion images to four fraction images (high-albedo, low-albedo, vegetation, and soil). The impervious surface image was then extracted from the high-albedo and low-albedo fraction images. QuickBird imagery was used to develop an impervious surface image for use as reference data to evaluate the results from TM and fusion images. This research indicated that increasing spatial resolution by multisensor fusion improved spatial patterns of impervious surface distribution, but cannot significantly improve the statistical area accuracy. This research also indicated that the fusion image with 10-m spatial resolution was suitable for mapping impervious surface spatial distribution, but TM multispectral image with 30 m was too coarse in a complex urban?rural landscape. On the other hand, this research showed that no significant difference in improving impervious surface mapping performance by using either PALSAR L-band or RADARSAT C-band data with the same spatial resolution when they were used for multi-sensor fusion with the wavelet-based method.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectLandsat TMpt_BR
dc.subjectALOS PALSAR L-bandpt_BR
dc.subjectRADARSAT-2 C-bandpt_BR
dc.subjectWavelet-merging techniquept_BR
dc.subjectSpectral mixture analysispt_BR
dc.subjectImpervious sufarcept_BR
dc.titleMapping impervious surfaces with the integrated use of Landsat Thematic Mapper and radar data: a case study in an urban-rural landscape in the Brazilian Amazon.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2019-05-03T11:11:11Zpt_BR
riaa.ainfo.id902116pt_BR
riaa.ainfo.lastupdate2019-05-03 -03:00:00pt_BR
dc.identifier.doi10.1016/j.isprsjprs.2011.08.004pt_BR
dc.contributor.institutionDENGSHENG LU, INDIANA UNIVERSITY; GUIYING LI, INDIANA UNIVERSITY; MATEUS BATISTELLA, CNPM; CORINA C. FREITAS, INPE.pt_BR
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