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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
09/10/2023 |
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Data da última atualização: |
07/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, P. A. dos; PINHEIRO, H. S. K.; CARVALHO JUNIOR, W. de; SILVA, I. L. da; PEREIRA, N. R.; BHERING, S. B.; CEDDIA, M. B. |
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Afiliação: |
PRISCILLA AZEVEDO DOS SANTOS, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; HELENA SARAIVA KOENOW PINHEIRO, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; WALDIR DE CARVALHO JUNIOR, CNPS; IGOR LEITE DA SILVA, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; NILSON RENDEIRO PEREIRA, CNPS; SILVIO BARGE BHERING, CNPS; MARCOS BACIS CEDDIA, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO. |
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Título: |
Hydropedological digital mapping: machine learning applied to spectral VIS-IR and radiometric data dimensionality reduction. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, v. 47, e0220149, 2023. |
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DOI: |
https://doi.org/10.36783/18069657rbcs20220149 |
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Idioma: |
Inglês |
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Conteúdo: |
Pedosphere-hydrosphere interface accounts for the association between soil hydrology and landscape, represented by topographic and Remote Sensing data support and integration. This study aimed to analyze different statistical radiometric and spectral data selection methods and dimensionality reduce environment-related data to support the classification of soil physical-hydric properties, such as soil basic infiltration rate (bir) and saturated hydraulic conductivity (Ksat); as well as to act in data mining processes applied to hydropedological properties digital mapping. Accordingly, research integrated information from Visible to Infrared (VIS-IR) spectral indices and Sentinel's 2A mission Multispectral Instrument (MSI) sensor bands, terrain numerical modeling and aerogeophysics set to model soil-water content in two soil layers (0.00-0.20 m and 0.20-0.40 m). Pre-processed data were subjected to statistical analysis (multivariate and hypothesis tests); subsequently, the methods were applied (variation inflation factor - VIF, Stepwise Akaike information criterion - Stepwise AIC, and recursive feature elimination - RFE) to mine covariates used for Random Forest modeling. Based on the results, there were distinctions and singularities in spectral and radiometric data selection for each adopted method; the importance degree, and contribution of each one to soil physical-hydric properties have varied. According to the applied statistical metrics and decision-making criteria (highest R2 and lowest RMSE / MAE), the chosen methods were RFE (0.00-0.20 m layers) and Stepwise AIC (0.20-0.40 m layers) - both concerned with the assessed variables (bir and Ksat). This approach captured the importance of environmental variables and highlighted their potential use in hydropedological digital mapping at Guapi-Macacu watershed. MenosPedosphere-hydrosphere interface accounts for the association between soil hydrology and landscape, represented by topographic and Remote Sensing data support and integration. This study aimed to analyze different statistical radiometric and spectral data selection methods and dimensionality reduce environment-related data to support the classification of soil physical-hydric properties, such as soil basic infiltration rate (bir) and saturated hydraulic conductivity (Ksat); as well as to act in data mining processes applied to hydropedological properties digital mapping. Accordingly, research integrated information from Visible to Infrared (VIS-IR) spectral indices and Sentinel's 2A mission Multispectral Instrument (MSI) sensor bands, terrain numerical modeling and aerogeophysics set to model soil-water content in two soil layers (0.00-0.20 m and 0.20-0.40 m). Pre-processed data were subjected to statistical analysis (multivariate and hypothesis tests); subsequently, the methods were applied (variation inflation factor - VIF, Stepwise Akaike information criterion - Stepwise AIC, and recursive feature elimination - RFE) to mine covariates used for Random Forest modeling. Based on the results, there were distinctions and singularities in spectral and radiometric data selection for each adopted method; the importance degree, and contribution of each one to soil physical-hydric properties have varied. According to the applied statistical metrics and decision-making criteria (hig... Mostrar Tudo |
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Palavras-Chave: |
Applied statistics; Estatística aplicada; Geoprocessamento; Geoprocessing; Hidropedologia; Hydropedology; Radiometria. |
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Thesagro: |
Sensoriamento Remoto. |
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Thesaurus Nal: |
Radiometry; Remote sensing. |
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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/1157151/1/Hydropedological-digital-mapping-2023.pdf
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Marc: |
LEADER 02864naa a2200325 a 4500
001 2157151
005 2023-12-07
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.36783/18069657rbcs20220149$2DOI
100 1 $aSANTOS, P. A. dos
245 $aHydropedological digital mapping$bmachine learning applied to spectral VIS-IR and radiometric data dimensionality reduction.$h[electronic resource]
260 $c2023
520 $aPedosphere-hydrosphere interface accounts for the association between soil hydrology and landscape, represented by topographic and Remote Sensing data support and integration. This study aimed to analyze different statistical radiometric and spectral data selection methods and dimensionality reduce environment-related data to support the classification of soil physical-hydric properties, such as soil basic infiltration rate (bir) and saturated hydraulic conductivity (Ksat); as well as to act in data mining processes applied to hydropedological properties digital mapping. Accordingly, research integrated information from Visible to Infrared (VIS-IR) spectral indices and Sentinel's 2A mission Multispectral Instrument (MSI) sensor bands, terrain numerical modeling and aerogeophysics set to model soil-water content in two soil layers (0.00-0.20 m and 0.20-0.40 m). Pre-processed data were subjected to statistical analysis (multivariate and hypothesis tests); subsequently, the methods were applied (variation inflation factor - VIF, Stepwise Akaike information criterion - Stepwise AIC, and recursive feature elimination - RFE) to mine covariates used for Random Forest modeling. Based on the results, there were distinctions and singularities in spectral and radiometric data selection for each adopted method; the importance degree, and contribution of each one to soil physical-hydric properties have varied. According to the applied statistical metrics and decision-making criteria (highest R2 and lowest RMSE / MAE), the chosen methods were RFE (0.00-0.20 m layers) and Stepwise AIC (0.20-0.40 m layers) - both concerned with the assessed variables (bir and Ksat). This approach captured the importance of environmental variables and highlighted their potential use in hydropedological digital mapping at Guapi-Macacu watershed.
650 $aRadiometry
650 $aRemote sensing
650 $aSensoriamento Remoto
653 $aApplied statistics
653 $aEstatística aplicada
653 $aGeoprocessamento
653 $aGeoprocessing
653 $aHidropedologia
653 $aHydropedology
653 $aRadiometria
700 1 $aPINHEIRO, H. S. K.
700 1 $aCARVALHO JUNIOR, W. de
700 1 $aSILVA, I. L. da
700 1 $aPEREIRA, N. R.
700 1 $aBHERING, S. B.
700 1 $aCEDDIA, M. B.
773 $tRevista Brasileira de Ciência do Solo$gv. 47, e0220149, 2023.
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Registro original: |
Embrapa Solos (CNPS) |
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| Registros recuperados : 11 | |
| 1. |  | SANTOS, P. A.; PINHEIRO, H. S. K.; CARVALHO JUNIOR, W. de; PEREIRA, N. R.; BHERING, S. B.; SILVA, I. L. Modeling soils physical-hydric attributes through algorithms for quantitative pedology in Guapi-Macacu watershed, RJ. In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 2. | | OLIVEIRA, P. F.; FIGUEIREDO, E. A. T.; MARQUES, P. A. H. F.; BORGES, M. de F.; BRUNO, L. M.; CARVALHO, C. B. M.; SILVA, I. L. Aeromonas spp. em cortes de frango resfriados e congelados produzidos industrialmente. In: SIMPÓSIO LATINO AMERICANO DE CIÊNCIA DE ALIMENTOS, 8., 2009, Campinas. Resumos... Campinas: Universidade Estadual de Campinas, 2009.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agroindústria Tropical. |
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| 4. | | SILVA, S. T. da; MELLO, J. M. de; ARCEBI JUNIOR, F. W.; REIS, A. A. dos; RAIMUNDO, M. R.; SILVA, I. L. G.; SCOLFORO, J. R. S. Uso de imagens de sensoriamento remoto para estratificação do cerrado em inventários florestais. Pesquisa Florestal Brasileira, Colombo, v. 34, n. 80, p. 337-343, out./dez. 2014.| Biblioteca(s): Embrapa Florestas. |
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| 5. | | SANTOS, P. A. dos; PINHEIRO, H. S. K.; CARVALHO JUNIOR, W. de; SILVA, I. L. da; PEREIRA, N. R.; BHERING, S. B.; CEDDIA, M. B. Hydropedological digital mapping: machine learning applied to spectral VIS-IR and radiometric data dimensionality reduction. Revista Brasileira de Ciência do Solo, v. 47, e0220149, 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 3 |
| Biblioteca(s): Embrapa Solos. |
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| 6. | | MOURA, M. F.; TAKEMURA, C. M.; SILVA, I. L. C.; TÁPIAS, L. M.; OLIVEIRA, C. T. de; BASSOI, L. H.; OLIVEIRA, S. R. de M. Metodologia para a construção de portfólios tecnológicos agrícolas a partir de publicações técnico-científicas. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 11., 2017, Campinas. Ciência de dados na era da agricultura digital: anais. Campinas: Editora da Unicamp: Embrapa Informática Agropecuária, 2017. p. 537-546. SBIAgro 2017.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Instrumentação; Embrapa Territorial. |
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| 7. | | TERAO, D.; TAVARES, S. C. C. de H.; SILVA, I. L. do S. S. da; SARAIVA, A. C. M.; CHOUDHURY, M. M. Patologia pós-colheita de uva. In: LIMA, M. A. C. de. (Ed.). Uva de mesa: pós-colheita. 2. ed. rev. e ampl. Brasília, DF: Embrapa Informação Tecnológica; Petrolina: Embrapa Semi-Árido, 2007. cap. 4, p. 49-62. (Série Frutas do Brasil, 12).| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Semiárido. |
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| 9. | | NAKASONE, A. K.; SOBRINHO, R. S. A.; COUTINHO, I. B. L.; CAMPOS, K. R. A.; CARVALHO, J. E. U. de; NASCIMENTO, W. M. O. do; SILVA, I. L. do S. S. da; NECHET, K. de L. First report of Lasiodiplodia theobromae causing canker in Brazil nut. Australasian Plant Disease Notes, v. 17, n. 1, Article 27, Dec. 2022.| Tipo: Nota Técnica/Nota Científica |
| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Meio Ambiente. |
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| 10. | | CAMARGO, F. R. T. DE; SILVA, I. L.; BARROS, P. J. R.; ASCHERI, D. P. R.; RODOVALHO, R. S.; BELLIZZI, N. C.; ASCHERI, J. L. R.; TEIXEIRA, I. R.; DEVILLA, I. A.; CAMPOS, A. J. DE. Physiological quality of soybean seeds treated with carboxymethyl cellulose and fungicide. American Journal of Plant Sciences, v. 8, p. 2748-2757, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| 11. | | SANTIAGO, E. J. A. de; PINTO, J. E. B. P.; CARVALHO, J. G. de; PAIVA, R.; CONCEIÇÃO, H. E. O. de; SANTOS, C. G. dos; SANTOS, B. R.; DECCETTI, S. F. C.; SILVA, I. L. do S. S.; GOMES, G. A. C. Crescimento de pimenta longa (Piper hispidinervium c.dc.) in vitro submetida a diferentes doses de nitrogênio e fósforo. In: CONGRESSO BRASILEIRO DE FISIOLOGIA VEGETAL, 8., 2001, Ilhéus, BA. Resumos. Ilhéus: SBFV, 2001. p. 266. Cópia de trabalho editado em CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 11 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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