Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil (2020)
- Authors:
- USP affiliated authors: DEMATTE, JOSE ALEXANDRE MELO - ESALQ ; DOTTO, ANDRÉ CARNIELETTO - ESALQ ; GUIMARÃES, CLÉCIA CRISTINA BARBOSA - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.geodrs.2020.e00333
- Subjects: CARBONO; ESPECTROSCOPIA INFRAVERMELHA; FERTILIDADE DO SOLO; NITROGÊNIO; QUIMIOMETRIA; SOLOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Geoderma Regional
- ISSN: 2352-0094
- Volume/Número/Paginação/Ano: v. 23, art.e00333, p. 1-13, September 2020
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
SANTOS, Uemeson José dos et al. Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil. Geoderma Regional, v. 23, p. 1-13, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.geodrs.2020.e00333. Acesso em: 30 mar. 2026. -
APA
Santos, U. J. dos, Demattê, J. A. M., Menezes, R. S. C., Dotto, A. C., Guimarães, C. C. B., Alves, B. J. R., et al. (2020). Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil. Geoderma Regional, 23, 1-13. doi:10.1016/j.geodrs.2020.e00333 -
NLM
Santos UJ dos, Demattê JAM, Menezes RSC, Dotto AC, Guimarães CCB, Alves BJR, Primo DC, Sampaio EV de SB. Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil [Internet]. Geoderma Regional. 2020 ; 23 1-13.[citado 2026 mar. 30 ] Available from: https://doi.org/10.1016/j.geodrs.2020.e00333 -
Vancouver
Santos UJ dos, Demattê JAM, Menezes RSC, Dotto AC, Guimarães CCB, Alves BJR, Primo DC, Sampaio EV de SB. Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil [Internet]. Geoderma Regional. 2020 ; 23 1-13.[citado 2026 mar. 30 ] Available from: https://doi.org/10.1016/j.geodrs.2020.e00333 - Evaluating the synergy of three soil spectrometers for improving the prediction and mapping of soil properties in a high anthropic management area: A case of study from Southeast Brazil
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- A regional legacy soil dataset for prediction of sand and clay content with Vis-Nir-Swir, in Southern Brazil
- Weathering of soils originated from diabase in the Paraná Basin, São Paulo State, Brazil
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- Intemperismo de solos e a energia eletromagnética sob a ótica de várias faixas do espectro (Gama, raios X, Vis, NIR, SWIR e MIR)
- When does stratification of a subtropical soil spectral library improve predictions of soil organic carbon content?
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