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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
16/01/2018 |
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Data da última atualização: |
16/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ROMERO, D. J.; BEN-DOR, E.; DEMATTÊ, J. A. M.; SOUZA, A. B. e; VICENTE, L. E.; TAVARES, T. R.; MARTELLO, M.; STRABELI, T. F.; BARROS, P. P. da S.; FIORIO, P. R.; GALLO, B. C.; SATO, M. V.; EITELWEIN, M. T. |
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Afiliação: |
DANILO JEFFERSON ROMERO, ESALQ-USP; EYAL BEN-DOR, Tel Aviv University; JOSÉ ALEXANDRE MELO DEMATTÊ, ESALQ-USP; ARNALDO BARROS E SOUZA, ESALQ-USP; LUIZ EDUARDO VICENTE, CNPMA; TIAGO RODRIGUES TAVARES, ESALQ-USP; MAURICIO MARTELLO, ESALQ-USP; TAILA FERNANDA STRABELI, ESALQ-USP; PEDRO PAULO DA SILVA BARROS, ESALQ-USP; PETERSON RICARDO FIORIO, ESALQ-USP; BRUNA CRISTINA GALLO, ESALQ-USP; MARCUS VINOCIUS SATO, ESALQ-USP; MATEUS TONINI EITELWEIN, ESALQ-USP. |
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Título: |
Internal soil standard method for the Brazilian soil spectral library: performance and proximate analysis. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Geoderma, v. 312, p. 95-103, 2018. |
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ISSN: |
0016-7061 |
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DOI: |
http://dx.doi.org/10.1016/j.geoderma.2017.09.014 |
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Idioma: |
Inglês |
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Conteúdo: |
There are several methods to extract soil information by spectral sensing. For this reason, the database should be built including standards and protocols both in the lab and in field acquisitions. If we does not align the measurement one to each other, the models will have no merit in term of large-scale application and stay as an academic exercise only. The use of standard samples with known spectra is expected to allow parameterizing mathematically soil spectra collected by different equipment and with distinct geometries. This study was proposed for the reason that to date, the new methodology proposed has not been evaluated in Brazilian tropical soils (Oxisols) in visible, near and short infrared (VIS-NIR-SWIR ? 350 to 2500 nm) spectral regions from three spectrometers (FieldSpec 3) in three distinct protocols (Long Light, Near Light and Contact Probe). The current study compared the spectral intensity of each combination between spectrometers and protocols by ANOVA module and the clay prediction capacity by PLSR with cross-validation, before and after the internal soil standard (ISS) method application. The results showed that visual spectral variation is minimized by the ISS method and its correction enables better proxy modeling of clay content especially if the data are mixed from different protocols. The model for clay prediction was improved showing a favorable case to use the ISS technique in any soil spectral measurement in a better way to merge spectral libraries from different sources. MenosThere are several methods to extract soil information by spectral sensing. For this reason, the database should be built including standards and protocols both in the lab and in field acquisitions. If we does not align the measurement one to each other, the models will have no merit in term of large-scale application and stay as an academic exercise only. The use of standard samples with known spectra is expected to allow parameterizing mathematically soil spectra collected by different equipment and with distinct geometries. This study was proposed for the reason that to date, the new methodology proposed has not been evaluated in Brazilian tropical soils (Oxisols) in visible, near and short infrared (VIS-NIR-SWIR ? 350 to 2500 nm) spectral regions from three spectrometers (FieldSpec 3) in three distinct protocols (Long Light, Near Light and Contact Probe). The current study compared the spectral intensity of each combination between spectrometers and protocols by ANOVA module and the clay prediction capacity by PLSR with cross-validation, before and after the internal soil standard (ISS) method application. The results showed that visual spectral variation is minimized by the ISS method and its correction enables better proxy modeling of clay content especially if the data are mixed from different protocols. The model for clay prediction was improved showing a favorable case to use the ISS technique in any soil spectral measurement in a better way to merg... Mostrar Tudo |
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Palavras-Chave: |
Clay prediction; Soil measurement protocol; Soil spectroscopy; VIS-NIR-SWIR. |
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Thesagro: |
Análise do solo; Argila; Oxisol; Sensoriamento remoto; Solo tropical. |
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Thesaurus Nal: |
Remote sensing; Soil analysis; Soil surveys. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02778naa a2200433 a 4500
001 2085514
005 2018-01-16
008 2018 bl uuuu u00u1 u #d
022 $a0016-7061
024 7 $ahttp://dx.doi.org/10.1016/j.geoderma.2017.09.014$2DOI
100 1 $aROMERO, D. J.
245 $aInternal soil standard method for the Brazilian soil spectral library$bperformance and proximate analysis.$h[electronic resource]
260 $c2018
520 $aThere are several methods to extract soil information by spectral sensing. For this reason, the database should be built including standards and protocols both in the lab and in field acquisitions. If we does not align the measurement one to each other, the models will have no merit in term of large-scale application and stay as an academic exercise only. The use of standard samples with known spectra is expected to allow parameterizing mathematically soil spectra collected by different equipment and with distinct geometries. This study was proposed for the reason that to date, the new methodology proposed has not been evaluated in Brazilian tropical soils (Oxisols) in visible, near and short infrared (VIS-NIR-SWIR ? 350 to 2500 nm) spectral regions from three spectrometers (FieldSpec 3) in three distinct protocols (Long Light, Near Light and Contact Probe). The current study compared the spectral intensity of each combination between spectrometers and protocols by ANOVA module and the clay prediction capacity by PLSR with cross-validation, before and after the internal soil standard (ISS) method application. The results showed that visual spectral variation is minimized by the ISS method and its correction enables better proxy modeling of clay content especially if the data are mixed from different protocols. The model for clay prediction was improved showing a favorable case to use the ISS technique in any soil spectral measurement in a better way to merge spectral libraries from different sources.
650 $aRemote sensing
650 $aSoil analysis
650 $aSoil surveys
650 $aAnálise do solo
650 $aArgila
650 $aOxisol
650 $aSensoriamento remoto
650 $aSolo tropical
653 $aClay prediction
653 $aSoil measurement protocol
653 $aSoil spectroscopy
653 $aVIS-NIR-SWIR
700 1 $aBEN-DOR, E.
700 1 $aDEMATTÊ, J. A. M.
700 1 $aSOUZA, A. B. e
700 1 $aVICENTE, L. E.
700 1 $aTAVARES, T. R.
700 1 $aMARTELLO, M.
700 1 $aSTRABELI, T. F.
700 1 $aBARROS, P. P. da S.
700 1 $aFIORIO, P. R.
700 1 $aGALLO, B. C.
700 1 $aSATO, M. V.
700 1 $aEITELWEIN, M. T.
773 $tGeoderma$gv. 312, p. 95-103, 2018.
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Embrapa Meio Ambiente (CNPMA) |
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| 2. |  | PIMENTEL, M. A. G. Manejo integrado de pragas em grãos armazenados. In: PEREIRA FILHO, I. A.; RODRIGUES, J. A. S. (Ed.). Sorgo: o produtor pergunta, a Embrapa responde. Brasília, DF: Embrapa, 2015. cap. 13, p. 213-227. (Coleção 500 perguntas, 500 respostas).| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 8. | | MANTOVANI, E. C.; PIMENTEL, M. A. G. Colheita. In: GALVÃO, J. C. C.; BORÉM, A.; PIMENTEL, M. A. (Ed.). Milho: do plantio à colheita. Viçosa, MG: UFV, 2015. cap. 14, p. 323-351.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 14. | | GUIMARAES, D. P.; LANDAU, E. C.; PIMENTEL, M. A. G. Produção agrícola, pecuária, silvicultura e extração vegetal. In: LANDAU, E. C.; GUIMARAES, D. P. (ed.). Bacia hidrográfica do Rio das Velhas: caracterização ambiental, demográfica, agrária e socioeconômica. Brasília, DF: Embrapa, 2023. p. 136-156.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 15. | | GUIMARAES, D. P.; LANDAU, E. C.; PIMENTEL, M. A. G. Produção agrícola, pecuária, silvicultura e extração vegetal. In: LANDAU, E. C.; GUIMARAES, D. P. (ed.). Bacia Hidrográfica do Rio Jequitinhonha: caracterização ambiental, demográfica, agrária e socioeconômica. Brasília, DF: Embrapa, 2024. p. 127-146.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 16. | | GUIMARAES, D. P.; LANDAU, E. C.; PIMENTEL, M. A. G. Produção agrícola, pecuária, silvicultura e extração vegetal. In: LANDAU, E. C.; GUIMARAES, D. P. (ed.). Bacia Hidrográfica do Rio Verde Grande: caracterização ambiental, demográfica, agrária e socioeconômica. Brasília, DF: Embrapa, 2025. p. 117-137.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 148 | |
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