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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
17/01/2024 |
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Data da última atualização: |
17/01/2024 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
ANDRADE, B. C. de; PEDREIRA, J. P. das N. C.; ROQUE, L. C. dos S.; VASQUES, G. M.; DART, R. de O.; BALIEIRO, F. de C.; SILVEIRA FILHO, T. B. |
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Afiliação: |
BÁRBARA COELHO DE ANDRADE, SECRETARIA DE ESTADO DO AMBIENTE E SUSTENTABILIDADE; JOÃO PEDRO DAS NEVES CARDOSO PEDREIRA, UNIVERSIDADE FEDERAL DO RIO DE JANEIRO; LYGIA CRESPO DOS SANTOS ROQUE, SECRETARIA DE ESTADO DO AMBIENTE E SUSTENTABILIDADE; GUSTAVO DE MATTOS VASQUES, CNPS; RICARDO DE OLIVEIRA DART, CNPS; FABIANO DE CARVALHO BALIEIRO, CNPS; TELMO BORGES SILVEIRA FILHO, SECRETARIA DE ESTADO DO AMBIENTE E SUSTENTABILIDADE. |
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Título: |
Lithology and land use and land cover maps improved to support soil mapping. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE GEOINFORMÁTICA, 24., 2023, São José dos Campos. Anais [...]. São José dos Campos: INPE, 2023. p. 310-315. GEOINFO. |
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Idioma: |
Inglês |
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Conteúdo: |
Soil-landscape correlations are used to produce and interpret digital soil maps. Thisstudy aimsto present a methodology for obtaining and preparing environmental covariates related to soil formation (lithology) and transformation (land use/land cover) to support digital soil mapping in Rio de Janeiro state, Brazil. Maps provided by the Geological Survey of Brazil and the MapBiomas Project were used. Lithology and land use/land cover classes, respectively, were merged according to class similarity and soil-landscape correlation. The derived maps have fewer classes and better correlation with soil formation and transformation, and thus, are ready to be used to produce and interpret soil spatial patterns in Rio de Janeiro state. |
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Palavras-Chave: |
Litologia. |
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Thesagro: |
Cobertura do Solo; Mapa; Uso da Terra. |
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Thesaurus Nal: |
Land cover; Land use; Lithological soil types; Soil map. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1160906/1/Lithology-and-land-use-and-land-cover-maps-improved-2023.pdf
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Marc: |
LEADER 01634nam a2200277 a 4500
001 2160906
005 2024-01-17
008 2023 bl uuuu u00u1 u #d
100 1 $aANDRADE, B. C. de
245 $aLithology and land use and land cover maps improved to support soil mapping.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE GEOINFORMÁTICA, 24., 2023, São José dos Campos. Anais [...]. São José dos Campos: INPE, 2023. p. 310-315. GEOINFO.$c2023
520 $aSoil-landscape correlations are used to produce and interpret digital soil maps. Thisstudy aimsto present a methodology for obtaining and preparing environmental covariates related to soil formation (lithology) and transformation (land use/land cover) to support digital soil mapping in Rio de Janeiro state, Brazil. Maps provided by the Geological Survey of Brazil and the MapBiomas Project were used. Lithology and land use/land cover classes, respectively, were merged according to class similarity and soil-landscape correlation. The derived maps have fewer classes and better correlation with soil formation and transformation, and thus, are ready to be used to produce and interpret soil spatial patterns in Rio de Janeiro state.
650 $aLand cover
650 $aLand use
650 $aLithological soil types
650 $aSoil map
650 $aCobertura do Solo
650 $aMapa
650 $aUso da Terra
653 $aLitologia
700 1 $aPEDREIRA, J. P. das N. C.
700 1 $aROQUE, L. C. dos S.
700 1 $aVASQUES, G. M.
700 1 $aDART, R. de O.
700 1 $aBALIEIRO, F. de C.
700 1 $aSILVEIRA FILHO, T. B.
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Registro original: |
Embrapa Solos (CNPS) |
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Origem |
Tipo/Formato |
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Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
04/10/2011 |
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Data da última atualização: |
03/05/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
OLIVEIRA, D. P. de; PULIDO, J.; FRANCHESCHINI, M. H. D.; COSTA, P. A. da; ARRUDA, G. P. de; DEMATTÊ, J. A. M.; SOUZA FILHO, C. R. de; VICENTE, L. E. |
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Afiliação: |
DANIEL PONTES DE OLIVEIRA, ESALQ/USP - UFC; JAVIER PULIDO, ESALQ/USP - UFC; MARSTON HÉRACLES DOMINGUES FRANCHESCHINI, ESALQ/USP; PRISCILLA ALVES DA COSTA, ESALQ/USP; GUSTAVO PAIS DE ARRUDA, ESALQ/USP; JOSÉ ALEXANDRE MELO DEMATTÊ, ESALQ/USP; CARLOS ROBERTO DE SOUZA FILHO, IG/UNICAMP; LUIZ EDUARDO VICENTE, CNPM. |
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Título: |
Caracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011. |
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Páginas: |
p. 8476-8483. |
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Idioma: |
Português |
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Conteúdo: |
Data obtained with hyperspectral remote sensors have the advantage of containing a great spectral resolution, offering more details about spectral behavior of a particular target. The use of these images show high potential to describe soil mineralogical attributes. The main objective of this study was to obtain the spectral and mineralogical attributes of soils using hyperspectral satellite imagery and with data acquired at ground level; evaluation of a supervised classification routine for determination of soils texture; and estimate clay using multivariate analysis. Soil samples were collected at a 0-20cm depth and spectral measurements, texture and mineralogy analysis were made. Using GIS software, image processing and statistical packages, the information obtained in the laboratory has been analyzed. The use of hyperspectral imagery enhanced the mineralogical characterization of the studied area. The maximum likelihood classification algorithm showed great skill in distinguishing between four textures class created with the aim of hyperspectral data. The statistical method PLSR provided a satisfactory prediction of clay and sand, using data collected in the laboratory, with high coefficients of determination and low error values (RMSE). |
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Palavras-Chave: |
Processamento de imagens. |
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Thesagro: |
Geologia; Sensoriamento Remoto. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/42859/1/Vicente-SBSR.pdf
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Marc: |
LEADER 02072nam a2200241 a 4500
001 1902332
005 2019-05-03
008 2011 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, D. P. de
245 $aCaracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral.
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE$c2011
300 $ap. 8476-8483.
520 $aData obtained with hyperspectral remote sensors have the advantage of containing a great spectral resolution, offering more details about spectral behavior of a particular target. The use of these images show high potential to describe soil mineralogical attributes. The main objective of this study was to obtain the spectral and mineralogical attributes of soils using hyperspectral satellite imagery and with data acquired at ground level; evaluation of a supervised classification routine for determination of soils texture; and estimate clay using multivariate analysis. Soil samples were collected at a 0-20cm depth and spectral measurements, texture and mineralogy analysis were made. Using GIS software, image processing and statistical packages, the information obtained in the laboratory has been analyzed. The use of hyperspectral imagery enhanced the mineralogical characterization of the studied area. The maximum likelihood classification algorithm showed great skill in distinguishing between four textures class created with the aim of hyperspectral data. The statistical method PLSR provided a satisfactory prediction of clay and sand, using data collected in the laboratory, with high coefficients of determination and low error values (RMSE).
650 $aGeologia
650 $aSensoriamento Remoto
653 $aProcessamento de imagens
700 1 $aPULIDO, J.
700 1 $aFRANCHESCHINI, M. H. D.
700 1 $aCOSTA, P. A. da
700 1 $aARRUDA, G. P. de
700 1 $aDEMATTÊ, J. A. M.
700 1 $aSOUZA FILHO, C. R. de
700 1 $aVICENTE, L. E.
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Embrapa Territorial (CNPM) |
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