Caracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral.

Caracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral.

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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Main Authors: 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.
Other Authors: 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.
Format: Anais e Proceedings de eventos biblioteca
Language:pt_BR
por
Published: 2011-10-04T11:11:11Z
Subjects:Processamento de imagens., Geologia, Sensoriamento Remoto.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/902332
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spelling dig-alice-doc-9023322017-08-15T22:30:52Z Caracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral. 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. 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. Processamento de imagens. Geologia Sensoriamento Remoto. 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). 2011-10-04T11:11:11Z 2011-10-04T11:11:11Z 2011-10-04T11:11:11Z 2011-10-04T11:11:11Z 2011-10-04 2011 2019-05-03T11:11:11Z Anais e Proceedings de eventos In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011. http://www.alice.cnptia.embrapa.br/alice/handle/doc/902332 pt_BR por openAccess p. 8476-8483.
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language pt_BR
por
topic Processamento de imagens.
Geologia
Sensoriamento Remoto.
Processamento de imagens.
Geologia
Sensoriamento Remoto.
spellingShingle Processamento de imagens.
Geologia
Sensoriamento Remoto.
Processamento de imagens.
Geologia
Sensoriamento Remoto.
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.
Caracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral.
description 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).
author2 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.
author_facet 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.
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.
format Anais e Proceedings de eventos
topic_facet Processamento de imagens.
Geologia
Sensoriamento Remoto.
author 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.
author_sort OLIVEIRA, D. P. de
title Caracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral.
title_short Caracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral.
title_full Caracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral.
title_fullStr Caracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral.
title_full_unstemmed Caracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral.
title_sort caracterização espectral de solos utilizando espectrorradiômetro em laboratório e imagem de satélite hiperespectral.
publishDate 2011-10-04T11:11:11Z
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/902332
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