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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
03/10/2011 |
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Data da última atualização: |
03/05/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LU, D.; LI, G.; BATISTELLA, M.; FREITAS, C. C. |
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Afiliação: |
DENGSHENG LU, INDIANA UNIVERSITY; GUIYING LI, INDIANA UNIVERSITY; MATEUS BATISTELLA, CNPM; CORINA C. FREITAS, INPE. |
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Título: |
Mapping 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. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
ISPRS Journal of Photogrammetry and Remote Sensing, v. 66, p. 798-808, 2011. |
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DOI: |
10.1016/j.isprsjprs.2011.08.004 |
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Idioma: |
Português |
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Conteúdo: |
This 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. MenosThis 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-b... Mostrar Tudo |
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Palavras-Chave: |
ALOS PALSAR L-band; Impervious sufarce; Landsat TM; RADARSAT-2 C-band; Spectral mixture analysis; Wavelet-merging technique. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/42780/1/Impervious-TM-radar-ISPRS-2011.pdf
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Marc: |
LEADER 02317naa a2200241 a 4500
001 1902116
005 2019-05-03
008 2011 bl uuuu u00u1 u #d
024 7 $a10.1016/j.isprsjprs.2011.08.004$2DOI
100 1 $aLU, D.
245 $aMapping impervious surfaces with the integrated use of Landsat Thematic Mapper and radar data$ba case study in an urban-rural landscape in the Brazilian Amazon.
260 $c2011
520 $aThis 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.
653 $aALOS PALSAR L-band
653 $aImpervious sufarce
653 $aLandsat TM
653 $aRADARSAT-2 C-band
653 $aSpectral mixture analysis
653 $aWavelet-merging technique
700 1 $aLI, G.
700 1 $aBATISTELLA, M.
700 1 $aFREITAS, C. C.
773 $tISPRS Journal of Photogrammetry and Remote Sensing$gv. 66, p. 798-808, 2011.
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Registro original: |
Embrapa Territorial (CNPM) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
22/05/2003 |
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Data da última atualização: |
17/02/2016 |
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Autoria: |
VERZIGNASSI, J. R.; FERNANDES, C. D. |
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Afiliação: |
JAQUELINE ROSEMEIRE VERZIGNASSI, CNPGC; CELSO DORNELAS FERNANDES, CNPGC. |
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Título: |
Doenças em forrageiras. |
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Ano de publicação: |
2001 |
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Fonte/Imprenta: |
Campo Grande, MS: Embrapa Gado de Corte, 2001. |
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Páginas: |
3 p. |
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Série: |
(Embrapa Gado de Corte. Gado de Corte Divulga, 50). |
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Idioma: |
Português |
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Conteúdo: |
Com a expansão das pastagens cultivadas e intensificação da atividade pecuária nos últimos anos, várias doenças de forrageiras começaram a ter importância significativa, especialmente nas regiões Centro-Oeste e Norte do Brasil, causando perdas em produtividade e qualidade das pastagens. |
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Palavras-Chave: |
Brasil; Forages; Forrageira; Fungal diseases; Plant diseases. |
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Thesagro: |
Doença de Planta; Doença Fúngica; Fungo; Pastagem. |
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Thesaurus NAL: |
Brazil; fungi; pastures. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/139272/1/Gado-de-Corte-Divulga-50.pdf
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Marc: |
LEADER 01039naa a2200301 a 4500
001 1325256
005 2016-02-17
008 2001 bl uuuu u00u1 u #d
100 1 $aVERZIGNASSI, J. R.
245 $aDoenças em forrageiras.
260 $c2001
300 $a3 p.
490 $a(Embrapa Gado de Corte. Gado de Corte Divulga, 50).
520 $aCom a expansão das pastagens cultivadas e intensificação da atividade pecuária nos últimos anos, várias doenças de forrageiras começaram a ter importância significativa, especialmente nas regiões Centro-Oeste e Norte do Brasil, causando perdas em produtividade e qualidade das pastagens.
650 $aBrazil
650 $afungi
650 $apastures
650 $aDoença de Planta
650 $aDoença Fúngica
650 $aFungo
650 $aPastagem
653 $aBrasil
653 $aForages
653 $aForrageira
653 $aFungal diseases
653 $aPlant diseases
700 1 $aFERNANDES, C. D.
773 $tCampo Grande, MS: Embrapa Gado de Corte, 2001.
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Embrapa Gado de Corte (CNPGC) |
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