|
|
![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
21/10/2016 |
Data da última atualização: |
07/11/2016 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
PESSOA, L. G. M.; FREIRE, M. B. G. dos S.; WILCOX, B. P.; GREEN, C. H. M.; ARAÚJO, R. J. T. de; ARAUJO FILHO, J. C. de. |
Afiliação: |
LUIZ GUILHERME MEDEIROS PESSOA, UFRPE; MARIA BETÂNIA GALVÃO DOS SANTOS FREIRE, UFRPE; BRADFORD PAUL WILCOX, Texas A&M University; COLLEEN HEATHER MACHADO GREEN, U. S. Department of the Interior, Bureau of Land Management, National Operations Center; RÔMULO JOSÉ TOLÊDO DE ARAÚJO, UFRPE; JOSE COELHO DE ARAUJO FILHO, CNPS. |
Título: |
Spectral reflectance characteristics of soils in northeastern Brazil as influenced by salinity levels. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Environmental Monitoring and Assessment, v. 188, n. 11, Nov. 2016. |
DOI: |
10.1007/s10661-016-5631-6 |
Idioma: |
Inglês |
Conteúdo: |
In northeastern Brazil, large swaths of onceproductive soils have been severely degraded by soil salinization, but the true extent of the damage has not been assessed. Emerging remote sensing technology based on hyperspectral analysis offers one possibility for large-scale assessment, but it has been unclear to what extent the spectral properties of soils are related to salinity characteristics. The purpose of this study was to characterize the spectral properties of degraded (saline) and non-degraded agricultural soils in northeastern Brazil and determine the extent to which these properties correspond to soil salinity. We took soil samples from 78 locations within a 45,000-km2 site in Pernambuco State. We used cluster analysis to group the soil samples on the basis of similarities in salinity and sodicity levels, and then obtained spectral data for each group. The physical properties analysis indicated a predominance of the coarse sand fraction in almost all the soil groups, and total porosity was similar for all the groups. The chemical analysis revealed different levels of degradation among the groups, ranging from nondegraded to strongly degraded conditions, as defined by the degree of salinity and sodicity. The soil properties showing the highest correlation with spectral reflectance were the exchangeable sodium percentage followed by fine sand. Differences in the reflectance curves for the various soil groups were relatively small and were not significant. These results suggest that, where soil crusts are not present, significant challenges remain for using hyperspectral remote sensing to assess soil salinity in northeastern Brazil. MenosIn northeastern Brazil, large swaths of onceproductive soils have been severely degraded by soil salinization, but the true extent of the damage has not been assessed. Emerging remote sensing technology based on hyperspectral analysis offers one possibility for large-scale assessment, but it has been unclear to what extent the spectral properties of soils are related to salinity characteristics. The purpose of this study was to characterize the spectral properties of degraded (saline) and non-degraded agricultural soils in northeastern Brazil and determine the extent to which these properties correspond to soil salinity. We took soil samples from 78 locations within a 45,000-km2 site in Pernambuco State. We used cluster analysis to group the soil samples on the basis of similarities in salinity and sodicity levels, and then obtained spectral data for each group. The physical properties analysis indicated a predominance of the coarse sand fraction in almost all the soil groups, and total porosity was similar for all the groups. The chemical analysis revealed different levels of degradation among the groups, ranging from nondegraded to strongly degraded conditions, as defined by the degree of salinity and sodicity. The soil properties showing the highest correlation with spectral reflectance were the exchangeable sodium percentage followed by fine sand. Differences in the reflectance curves for the various soil groups were relatively small and were not significant. These resul... Mostrar Tudo |
Palavras-Chave: |
Monitoramento da salinidade; Salinidade do solo; Semiárido; Sodicidade do solo. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02451naa a2200241 a 4500 001 2055138 005 2016-11-07 008 2016 bl uuuu u00u1 u #d 024 7 $a10.1007/s10661-016-5631-6$2DOI 100 1 $aPESSOA, L. G. M. 245 $aSpectral reflectance characteristics of soils in northeastern Brazil as influenced by salinity levels.$h[electronic resource] 260 $c2016 520 $aIn northeastern Brazil, large swaths of onceproductive soils have been severely degraded by soil salinization, but the true extent of the damage has not been assessed. Emerging remote sensing technology based on hyperspectral analysis offers one possibility for large-scale assessment, but it has been unclear to what extent the spectral properties of soils are related to salinity characteristics. The purpose of this study was to characterize the spectral properties of degraded (saline) and non-degraded agricultural soils in northeastern Brazil and determine the extent to which these properties correspond to soil salinity. We took soil samples from 78 locations within a 45,000-km2 site in Pernambuco State. We used cluster analysis to group the soil samples on the basis of similarities in salinity and sodicity levels, and then obtained spectral data for each group. The physical properties analysis indicated a predominance of the coarse sand fraction in almost all the soil groups, and total porosity was similar for all the groups. The chemical analysis revealed different levels of degradation among the groups, ranging from nondegraded to strongly degraded conditions, as defined by the degree of salinity and sodicity. The soil properties showing the highest correlation with spectral reflectance were the exchangeable sodium percentage followed by fine sand. Differences in the reflectance curves for the various soil groups were relatively small and were not significant. These results suggest that, where soil crusts are not present, significant challenges remain for using hyperspectral remote sensing to assess soil salinity in northeastern Brazil. 653 $aMonitoramento da salinidade 653 $aSalinidade do solo 653 $aSemiárido 653 $aSodicidade do solo 700 1 $aFREIRE, M. B. G. dos S. 700 1 $aWILCOX, B. P. 700 1 $aGREEN, C. H. M. 700 1 $aARAÚJO, R. J. T. de 700 1 $aARAUJO FILHO, J. C. de 773 $tEnvironmental Monitoring and Assessment$gv. 188, n. 11, Nov. 2016.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Solos (CNPS) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
Registro Completo
Biblioteca(s): |
Embrapa Agropecuária Oeste. |
Data corrente: |
13/12/2017 |
Data da última atualização: |
13/12/2017 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
WOLFF, W.; FOLEGATTI, M. V.; FLUMIGNAN, D. L. |
Afiliação: |
W. WOLFF, PÓS-DOUTORANDO – UNIVERSIDADE DE SÃO PAULO – ESCOLA SUPERIOR DE AGRCULTURA LUIZ DE QUEIROZ, PIRACICABA, SP; M. V. FOLEGATTI, DOCENTE – UNIVERSIDADE DE SÃO PAULO – ESCOLA SUPERIOR DE AGRCULTURA LUIZ DE QUEIROZ, PIRACICABA, SP; DANILTON LUIZ FLUMIGNAN, CPAO. |
Título: |
Lysimetric evaluation of sebal algorithm in subtropical climate. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: INOVAGRI INTERNATIONAL MEETING, 4.; CONGRESSO NACIONAL DE IRRIGAÇÃO E DRENAGEM, 26.; SIMPÓSIO BRASILEIRO DE SALINIDADE, 3., 2017, Fortaleza. Anais... Fortaleza: INOVAGRI: ABID: UFC, 2017. |
Idioma: |
Português |
Palavras-Chave: |
Qualidade de ajuste. |
Thesagro: |
Evapotranspiração; Sensoriamento Remoto. |
Thesaurus NAL: |
evapotranspiration; remote sensing. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/168843/1/Inovagri.pdf
|
Marc: |
LEADER 00703nam a2200181 a 4500 001 2082362 005 2017-12-13 008 2017 bl uuuu u00u1 u #d 100 1 $aWOLFF, W. 245 $aLysimetric evaluation of sebal algorithm in subtropical climate.$h[electronic resource] 260 $aIn: INOVAGRI INTERNATIONAL MEETING, 4.; CONGRESSO NACIONAL DE IRRIGAÇÃO E DRENAGEM, 26.; SIMPÓSIO BRASILEIRO DE SALINIDADE, 3., 2017, Fortaleza. Anais... Fortaleza: INOVAGRI: ABID: UFC$c2017 650 $aevapotranspiration 650 $aremote sensing 650 $aEvapotranspiração 650 $aSensoriamento Remoto 653 $aQualidade de ajuste 700 1 $aFOLEGATTI, M. V. 700 1 $aFLUMIGNAN, D. L.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Agropecuária Oeste (CPAO) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Expressão de busca inválida. Verifique!!! |
|
|