Soil discrimination analysis by spectral response in the ground level

Detalhes bibliográficos
Autor(a) principal: Nanni, Marcos Rafael
Data de Publicação: 2004
Outros Autores: Demattê, José Alexandre M., Fiorio, Peterson Ricardo
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/6867
Resumo: The objective of this study was to develop and test a discrimination method for soil classes by their spectral response (SR), using a laboratory sensor. Spectral data were used to develop statistical model for discriminating soil classes in an area at the southwest of São Paulo State, Brazil. Discriminant equations were developed for 18 soil classes. The spectral data were obtained in superficial and subsuperficial soil samples in the study area, with a total of 370 samples. The samples were collected in 185 ha, with one borehole per ha. The results showed that soil classes can be separated and delimitated by discriminant analysis. The analysis presented a classification index higher than 80% for each soil class. The global classification index was 90.71%, when all soil classes were used to develop the model, and 93.44% when most individuals classes were used. The simulated statistical test was efficient in the discriminant analysis, presenting a classification index higher than 91%, with a global error of 8.8%. The analysis demonstrated a reduction of the model quality when applied for 20% sub-group of the samples with global error of 33.9%. The method helped in the soil classes discrimination by their spectral reflectance, based on their physical interaction with electromagnetic energy.
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spelling Soil discrimination analysis by spectral response in the ground levelAnálise discriminante dos solos por meio da resposta espectral no nível terrestrelinear function; reflectance of soils; spectroradiometry; soil mapping; soil classificationfunções lineares; reflectância dos solos; espectrorradiometria; levantamento de solos; classificação de solosThe objective of this study was to develop and test a discrimination method for soil classes by their spectral response (SR), using a laboratory sensor. Spectral data were used to develop statistical model for discriminating soil classes in an area at the southwest of São Paulo State, Brazil. Discriminant equations were developed for 18 soil classes. The spectral data were obtained in superficial and subsuperficial soil samples in the study area, with a total of 370 samples. The samples were collected in 185 ha, with one borehole per ha. The results showed that soil classes can be separated and delimitated by discriminant analysis. The analysis presented a classification index higher than 80% for each soil class. The global classification index was 90.71%, when all soil classes were used to develop the model, and 93.44% when most individuals classes were used. The simulated statistical test was efficient in the discriminant analysis, presenting a classification index higher than 91%, with a global error of 8.8%. The analysis demonstrated a reduction of the model quality when applied for 20% sub-group of the samples with global error of 33.9%. The method helped in the soil classes discrimination by their spectral reflectance, based on their physical interaction with electromagnetic energy.O objetivo deste trabalho foi desenvolver e avaliar um método para discriminação das classes de solos a partir de suas respostas espectrais, utilizando-se um sensor em laboratório. Os dados espectrais foram utilizados no desenvolvimento de modelos estatísticos para discriminar as classes de solos de uma área no sudoeste do Estado de São Paulo. Equações discriminantes foram desenvolvidas para as 18 classes. A resposta espectral foi obtida em amostras da porção superficial e da porção subsuperficial dos solos da área de estudo, num total de 370 amostras. As amostras foram coletadas em 185 ha, com uma tradagem por ha. Os resultados demonstraram que as classes de solos podem ser individualizadas e distinguidas pela análise discriminante. A análise registrou índices de acerto acima de 80% de determinação da classe de solo avaliada. O acerto global foi de 90,71% quando se utilizaram todas as classes para a geração dos modelos, e 93,44% quando se utilizaram as dez classes com maior número de indivíduos. O teste estatístico simulado mostrou-se eficiente na análise discriminante, com taxa média de acerto acima de 91%, com erro global de 8,8%. A análise demonstrou redução na qualidade do modelo quando aplicado para um subconjunto de 20% das amostras, com erro global de 33,9%. O método auxilia na discriminação de classes de solos pela sua reflectância, devido às interações físicas com a energia eletromagnética.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraNanni, Marcos RafaelDemattê, José Alexandre M.Fiorio, Peterson Ricardo2004-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/6867Pesquisa Agropecuaria Brasileira; v.39, n.10, out. 2004; 995-1006Pesquisa Agropecuária Brasileira; v.39, n.10, out. 2004; 995-10061678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/6867/3923info:eu-repo/semantics/openAccess2014-08-28T20:02:18Zoai:ojs.seer.sct.embrapa.br:article/6867Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-08-28T20:02:18Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Soil discrimination analysis by spectral response in the ground level
Análise discriminante dos solos por meio da resposta espectral no nível terrestre
title Soil discrimination analysis by spectral response in the ground level
spellingShingle Soil discrimination analysis by spectral response in the ground level
Nanni, Marcos Rafael
linear function; reflectance of soils; spectroradiometry; soil mapping; soil classification
funções lineares; reflectância dos solos; espectrorradiometria; levantamento de solos; classificação de solos
title_short Soil discrimination analysis by spectral response in the ground level
title_full Soil discrimination analysis by spectral response in the ground level
title_fullStr Soil discrimination analysis by spectral response in the ground level
title_full_unstemmed Soil discrimination analysis by spectral response in the ground level
title_sort Soil discrimination analysis by spectral response in the ground level
author Nanni, Marcos Rafael
author_facet Nanni, Marcos Rafael
Demattê, José Alexandre M.
Fiorio, Peterson Ricardo
author_role author
author2 Demattê, José Alexandre M.
Fiorio, Peterson Ricardo
author2_role author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Nanni, Marcos Rafael
Demattê, José Alexandre M.
Fiorio, Peterson Ricardo
dc.subject.por.fl_str_mv linear function; reflectance of soils; spectroradiometry; soil mapping; soil classification
funções lineares; reflectância dos solos; espectrorradiometria; levantamento de solos; classificação de solos
topic linear function; reflectance of soils; spectroradiometry; soil mapping; soil classification
funções lineares; reflectância dos solos; espectrorradiometria; levantamento de solos; classificação de solos
description The objective of this study was to develop and test a discrimination method for soil classes by their spectral response (SR), using a laboratory sensor. Spectral data were used to develop statistical model for discriminating soil classes in an area at the southwest of São Paulo State, Brazil. Discriminant equations were developed for 18 soil classes. The spectral data were obtained in superficial and subsuperficial soil samples in the study area, with a total of 370 samples. The samples were collected in 185 ha, with one borehole per ha. The results showed that soil classes can be separated and delimitated by discriminant analysis. The analysis presented a classification index higher than 80% for each soil class. The global classification index was 90.71%, when all soil classes were used to develop the model, and 93.44% when most individuals classes were used. The simulated statistical test was efficient in the discriminant analysis, presenting a classification index higher than 91%, with a global error of 8.8%. The analysis demonstrated a reduction of the model quality when applied for 20% sub-group of the samples with global error of 33.9%. The method helped in the soil classes discrimination by their spectral reflectance, based on their physical interaction with electromagnetic energy.
publishDate 2004
dc.date.none.fl_str_mv 2004-10-01
dc.type.none.fl_str_mv
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dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/6867
url https://seer.sct.embrapa.br/index.php/pab/article/view/6867
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/6867/3923
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.39, n.10, out. 2004; 995-1006
Pesquisa Agropecuária Brasileira; v.39, n.10, out. 2004; 995-1006
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
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repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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