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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
02/04/2018 |
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Data da última atualização: |
11/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PINHEIRO, H. S. K.; CARVALHO JUNIOR, W. de; CHAGAS, C. da S.; ANJOS, L. H. C. dos; OWENS, P. R. |
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Afiliação: |
HELENA SARAIVA KOENOW PINHEIRO, UFRRJ; WALDIR DE CARVALHO JUNIOR, CNPS; CESAR DA SILVA CHAGAS, CNPS; LÚCIA HELENA CUNHA DOS ANJOS, UFRRJ; PHILLIP RAY OWENS, USDA. |
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Título: |
Prediction of topsoil texture through regression trees and multiple linear regressions. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, v. 42, article e0170167, 2018. |
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DOI: |
https://doi.org/10.1590/18069657rbcs20170167 |
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Idioma: |
Inglês |
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Conteúdo: |
Users of soil survey products are mostly interested in understanding how soil properties vary in space and time. The aim of digital soil mapping (DSM) is to represent the spatial variability of soil properties quantitatively to support decision-making. The goal of this study is to evaluate DSM techniques (Regression Trees - RT and Multiple Linear Regressions - MLR) and the ability of these tools to predict mineral fraction content under a wide variability of landscapes. The study site was the entire Guapi-Macacu watershed (1,250.78 km²) in the state of Rio de Janeiro in the Southeast region of Brazil. Terrain attributes and remote sensing data (with 30 m of spatial resolution) were used to represent landscape co-variables selected as an input in predictive models in order to develop the explanatory variables. The selection of sampling sites was based on the Latin Hypercube algorithm. A representative set of one hundred points with feasible field access was chosen. Different input databases were tested for prediction of mineral fraction content (harmonized and original data). The Spline algorithm was used to harmonize data according to the GlobalSoil.Net consortium standards. The results showed better performance from the RT models, using input from an average of six covariates; the simplest MLR model used twice as many input variables, creating more complex models without gaining precision. Furthermore, better R² values were obtained using RT models, irrespective of harmonization of soil data. The harmonized dataset from the 0.00-0.05 and 0.05-0.15 m layers, in general, presented better results for the clay and silt, with R2 values of 0.52 (0.00-0.05 m) and 0.69 (0.05-0.15 m), respectively. Prediction of sand content showed better results when the original depth data was used as an input, although all regression tree models had R2 values greater than 0.52. The RT models provided a better statistical index than MLR for all predicted properties; however, the variance between models suggests similarity of performance. Regarding harmonization of soil data, both input databases (harmonized or not) can be used to predict soil properties, since the variance of model performance was low and generalization of the soil maps showed similar trends. The products obtained from the digital soil mapping approach make it possible to integrate the factor of uncertainties, providing easier interpretation for soil management and land use decisions. MenosUsers of soil survey products are mostly interested in understanding how soil properties vary in space and time. The aim of digital soil mapping (DSM) is to represent the spatial variability of soil properties quantitatively to support decision-making. The goal of this study is to evaluate DSM techniques (Regression Trees - RT and Multiple Linear Regressions - MLR) and the ability of these tools to predict mineral fraction content under a wide variability of landscapes. The study site was the entire Guapi-Macacu watershed (1,250.78 km²) in the state of Rio de Janeiro in the Southeast region of Brazil. Terrain attributes and remote sensing data (with 30 m of spatial resolution) were used to represent landscape co-variables selected as an input in predictive models in order to develop the explanatory variables. The selection of sampling sites was based on the Latin Hypercube algorithm. A representative set of one hundred points with feasible field access was chosen. Different input databases were tested for prediction of mineral fraction content (harmonized and original data). The Spline algorithm was used to harmonize data according to the GlobalSoil.Net consortium standards. The results showed better performance from the RT models, using input from an average of six covariates; the simplest MLR model used twice as many input variables, creating more complex models without gaining precision. Furthermore, better R² values were obtained using RT models, irrespective of harmoniz... Mostrar Tudo |
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Palavras-Chave: |
Atributos do terreno; Funções de profundidade do solo; Mapeamento digital do solo; Modelos de regressão. |
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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/item/174786/1/2018-010.pdf
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Marc: |
LEADER 03254naa a2200229 a 4500
001 2089994
005 2021-11-11
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/18069657rbcs20170167$2DOI
100 1 $aPINHEIRO, H. S. K.
245 $aPrediction of topsoil texture through regression trees and multiple linear regressions.$h[electronic resource]
260 $c2018
520 $aUsers of soil survey products are mostly interested in understanding how soil properties vary in space and time. The aim of digital soil mapping (DSM) is to represent the spatial variability of soil properties quantitatively to support decision-making. The goal of this study is to evaluate DSM techniques (Regression Trees - RT and Multiple Linear Regressions - MLR) and the ability of these tools to predict mineral fraction content under a wide variability of landscapes. The study site was the entire Guapi-Macacu watershed (1,250.78 km²) in the state of Rio de Janeiro in the Southeast region of Brazil. Terrain attributes and remote sensing data (with 30 m of spatial resolution) were used to represent landscape co-variables selected as an input in predictive models in order to develop the explanatory variables. The selection of sampling sites was based on the Latin Hypercube algorithm. A representative set of one hundred points with feasible field access was chosen. Different input databases were tested for prediction of mineral fraction content (harmonized and original data). The Spline algorithm was used to harmonize data according to the GlobalSoil.Net consortium standards. The results showed better performance from the RT models, using input from an average of six covariates; the simplest MLR model used twice as many input variables, creating more complex models without gaining precision. Furthermore, better R² values were obtained using RT models, irrespective of harmonization of soil data. The harmonized dataset from the 0.00-0.05 and 0.05-0.15 m layers, in general, presented better results for the clay and silt, with R2 values of 0.52 (0.00-0.05 m) and 0.69 (0.05-0.15 m), respectively. Prediction of sand content showed better results when the original depth data was used as an input, although all regression tree models had R2 values greater than 0.52. The RT models provided a better statistical index than MLR for all predicted properties; however, the variance between models suggests similarity of performance. Regarding harmonization of soil data, both input databases (harmonized or not) can be used to predict soil properties, since the variance of model performance was low and generalization of the soil maps showed similar trends. The products obtained from the digital soil mapping approach make it possible to integrate the factor of uncertainties, providing easier interpretation for soil management and land use decisions.
653 $aAtributos do terreno
653 $aFunções de profundidade do solo
653 $aMapeamento digital do solo
653 $aModelos de regressão
700 1 $aCARVALHO JUNIOR, W. de
700 1 $aCHAGAS, C. da S.
700 1 $aANJOS, L. H. C. dos
700 1 $aOWENS, P. R.
773 $tRevista Brasileira de Ciência do Solo$gv. 42, article e0170167, 2018.
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Registro original: |
Embrapa Solos (CNPS) |
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| Registros recuperados : 480 | |
| 122. |  | PINHEIRO, H. S. K.; ANJOS, L. H. C. dos; CHAGAS, C. da S.; CARVALHO JUNIOR, W. de; PEREIRA, N. R. Relações geomorfopedológicas e importância para o mapeamento de solos da bacia hidrográfica do Rio Guapi-Macacu (RJ). In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia. Solos nos biomas brasileiros: sustentabilidade e mudanças climáticas: anais. [Uberlândia]: SBCS: UFU, ICIAG, 2011. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 129. | | CHAGAS, C. da S.; CARVALHO JUNIOR, W. de; ZARONI, M. J.; PEREIRA, N. R.; BHERING, S. B. Zoneamento pedoclimático do Rio Grande do Sul para a cultura da cana-de-açúcar. Rio de Janeiro: Embrapa Solos, 2000. 58 p. 1 CD-ROM. (Embrapa Solos. Documentos, 39). Acompanha 4 mapas, color. Mapa do zoneamento pedoclimático do Rio Grande do Sul para a cultura da cana-de-açúcar (açúcar), nível de manejo B; Mapa do zoneamento pedoclimático do Rio Grande do Sul para a cultura da cana-de-açúcar (açúcar),...| Biblioteca(s): Embrapa Solos. |
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| 133. | | SANTOS, H. G. dos; CALDERANO FILHO, B.; FILHO RAMALHO, A.; CLAESSEN, M. E. C.; CARVALHO JUNIOR, W. de; CHAGAS, C. da S. Aptidão agrícola das terras da microbacia do Ribeirão São Domingos, Município de Santa Margarida, Estado de Minas Gerais. Rio de Janeiro: Embrapa Solos, 2004. 36 p. (Embrapa Solos. Boletim de pesquisa e desenvolvimento, 51).| Tipo: Boletim de Pesquisa e Desenvolvimento |
| Biblioteca(s): Embrapa Solos. |
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| 134. | | CHAGAS, C. da S.; CALDERANO FILHO, B.; PEREIRA, N. R.; CARVALHO JUNIOR, W. de; CORREIA, J. R.; BRAGA, A. R. dos S.; SPERA, S. T. Aptidão agrícola das terras do município de Ituiutaba-MG utilizando sistema de informações geográficas. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 27., 1999, Brasília, DF. Resumos [...]. Planaltina, DF: Embrapa Cerrados, 1999. 1 CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 135. | | CHAGAS, C. da S.; CALDERANO FILHO, B.; PEREIRA, N. R.; CARVALHO JUNIOR, W. de; CORREIA, J. R.; REATTO, A.; SPERA, S. T. Aptidao agricola das terras do municipio de Ituiutaba-MG utilizando sistema de informacoes geograficas. In: CONGRESSO BRASILEIRO DE CIENCIA DO SOLO, 27., 1999, Brasilia, DF. [Ciencia do solo e qualidade de vida: anais]. [Planaltina: Embrapa Cerrados, 1999]. Sessao de posteres 3. Resumo.| Biblioteca(s): Embrapa Cerrados. |
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| 137. | | MOTTA, P. E. F. da; BLANCANEAUX, P.; CHAGAS, C. da S.; CARVALHO FILHO, A. de; CARVALHO JUNIOR, W. de; PEREIRA, N. R.; AMABILE, R. F. Avaliacao da aptidao agricola por culturas das terras da microbacia piloto do Estado de Goias, Morrinhos. In: BLANCANEAUX, P., ed. Interacoes ambientais no cerrado: microbacia piloto de Morrinhos, Estado de Goias, Brasil. Rio de Janeiro: EMBRAPA-CNPS/ ORSTOM/ Brasilia: EMBRAPA-SPI, 1998. p.237-258. il. Edicao bilingue. Titulo em frances: Evaluation de l'aptitude agricole par cultures des terres du Microbassin pilote de l'Etat du Goias, Morrinhos.| Biblioteca(s): Embrapa Cerrados. |
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| 138. | | CALDERANO FILHO, B.; POLIVANOV, H.; CALDERANO, S. B.; GUERRA, A. J. T.; CHAGAS, C. da S.; CARVALHO JUNIOR, W. de; BHERING, S. B.; DONAGEMMA, G. K. Avaliação da aptidão agrícola das terras do médio alto curso do Rio Grande (RJ): subsídios ao planejamento de paisagens rurais montanhosas da Serra do Mar. Rio de Janeiro: Embrapa Solos, 2012. 41 p. il. color. (Embrapa Solos. Boletim de pesquisa e desenvolvimento, 209).| Tipo: Boletim de Pesquisa e Desenvolvimento |
| Biblioteca(s): Embrapa Solos. |
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| 139. | | MOTTA, P. E. F. da; CHAGAS, C. da S.; CARVALHO FILHO, A. de; BLANCANEAUX, P.; AMABILE, R. F.; CARVALHO JUNIOR, W. de; PEREIRA, N. R. Avaliacao de aptidao agricola das terras da microbacia piloto do Estado de Goias, Morrinhos. In: BLANCANEAUX, P., ed. Interacoes ambientais no cerrado: microbacia piloto de Morrinhos, Estado de Goias, Brasil. Rio de Janeiro: EMBRAPA-CNPS/ ORSTOM/ Brasilia: EMBRAPA-SPI, 1998. p.207-233. il. Edicao bilingue. Titulo em frances: Evaluation de l'aptitude agricole des terres du microbassin pilote de l'Etat du Goias, Morrinhos.| Biblioteca(s): Embrapa Cerrados. |
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| 140. | | CALDERANO FILHO, B.; POLIVANOV, H.; CALDERANO, S. B.; CHAGAS, C. da S.; CARVALHO JUNIOR, W. de; BARROSO, E. V.; DONAGEMMA, G. K.; BHERING, S. B.; PEREIRA, N. R. Avaliação da aptidão agroecológica das terras de paisagens montanhosas da Região Serrana do Estado do Rio de Janeiro. Rio de Janeiro: Embrapa Solos, 2015. 47 p. il. color. (Embrapa Solos. Boletim de pesquisa e desenvolvimento, 254).| Tipo: Boletim de Pesquisa e Desenvolvimento |
| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 480 | |
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