Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/17580
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dc.contributor.authorLOEBMANN, D. G. dos S. W.pt_BR
dc.contributor.authorSILVA, R. F. B. DApt_BR
dc.contributor.authorVICENTE, L. E.pt_BR
dc.contributor.authorVICTORIA, D. de C.pt_BR
dc.contributor.otherDANIEL GOMES DOS SANTOS W LOEBMANN, CNPM; RAMON FELIPE BICUDO DA SILVA, UNICAMP; LUIZ EDUARDO VICENTE, CNPM; DANIEL DE CASTRO VICTORIA, CNPM.pt_BR
dc.date.accessioned2011-04-10T11:11:11Zpt_BR
dc.date.available2011-04-10T11:11:11Zpt_BR
dc.date.created2006-11-22pt_BR
dc.date.issued2015pt_BR
dc.identifier.other1923pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/17580pt_BR
dc.descriptionAtmospheric correction is a very important task that allows comparisons between image-based biophysical estimates and existing spectral libraries. Atmospheric correction methods based on radiative transfer provide good results as they account for scattering and absorption components effects of atmosphere over electromagnetic radiation, but the lack of ground-daily information of atmospheric parameters for radiative transfer-based models limits these methods operation. Our objective was to perform atmospheric correction of GeoEye-1 images using MODIS-based parameters as input data for the Moderate-Resolution Atmospheric Radiative Transfer Model (MODTRAN) code. That was achieved using aerosol optical thickness, Ångström exponent, and water column data extractd from MODIS Aqua data in order to obtain visibility, aerosol scale height, and atmospheric model to be used in MODTRAN. The results were analyzed from a set of pixels arranged in six land cover classes that were compared to the spectral libraries USGS and NASA/JPL, available online. Land cover classes of pasture, urban areas, forest, dark soil, medium soil, and light soil presents satisfactory combinations by the Spectral Angle Mapper method, used to compare spectra from the GeoEye-1 images and spectral libraries. We conclude that the methodological approach presented is a promising standard of methods based on the retrieving of atmospheric information to perform radiometric corrections.pt_BR
dc.description.uribitstream/item/123814/1/1923.pdfpt_BR
dc.languageenpt_BR
dc.language.isoengeng
dc.publisherIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015.pt_BR
dc.relation.ispartofEmbrapa Territorial - Artigo em anais de congresso (ALICE)pt_BR
dc.subjectTransfrência radiativapt_BR
dc.subjectVisibilidadept_BR
dc.subjectAltura de escala do aerossolpt_BR
dc.titleAtmospheric correction of GeoEye-1 images using MODIS-based parameters.pt_BR
dc.typeArtigo em anais de congresso (ALICE)pt_BR
dc.date.updated2016-03-16T11:11:11Zpt_BR
dc.format.extent2p. 7270-7278.pt_BR
dc.ainfo.id17580pt_BR
dc.ainfo.lastupdate2016-03-16pt_BR
Appears in Collections:Artigo em anais de congresso (CNPM)

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