When does stratification of a subtropical soil spectral library improve predictions of soil organic carbon content? (2020)
- Authors:
- Autor USP: DOTTO, ANDRÉ CARNIELETTO - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.scitotenv.2020.139895
- Subjects: CARBONO; ESPECTROSCOPIA INFRAVERMELHA; MINERAÇÃO DE DADOS; MODELOS MATEMÁTICOS; SOLO TROPICAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Science of the Total Environment
- ISSN: 0048-9697
- Volume/Número/Paginação/Ano: v. 737, art. 139895, p. 1-20, June 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MOURA-BUENO, Jean Michel et al. When does stratification of a subtropical soil spectral library improve predictions of soil organic carbon content?. Science of the Total Environment, v. 737, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.scitotenv.2020.139895. Acesso em: 05 maio 2024. -
APA
Moura-Bueno, J. M., Dalmolin, R. S. D., Horst-Heinen, T. Z., Caten, A. ten, Vasques, G. M., Dotto, A. C., & Grunwald, S. (2020). When does stratification of a subtropical soil spectral library improve predictions of soil organic carbon content? Science of the Total Environment, 737, 1-20. doi:10.1016/j.scitotenv.2020.139895 -
NLM
Moura-Bueno JM, Dalmolin RSD, Horst-Heinen TZ, Caten A ten, Vasques GM, Dotto AC, Grunwald S. When does stratification of a subtropical soil spectral library improve predictions of soil organic carbon content? [Internet]. Science of the Total Environment. 2020 ; 737 1-20.[citado 2024 maio 05 ] Available from: https://doi.org/10.1016/j.scitotenv.2020.139895 -
Vancouver
Moura-Bueno JM, Dalmolin RSD, Horst-Heinen TZ, Caten A ten, Vasques GM, Dotto AC, Grunwald S. When does stratification of a subtropical soil spectral library improve predictions of soil organic carbon content? [Internet]. Science of the Total Environment. 2020 ; 737 1-20.[citado 2024 maio 05 ] Available from: https://doi.org/10.1016/j.scitotenv.2020.139895 - Chitinase production by Trichoderma koningiopsis UFSMQ40 using solid state fermentation
- Prediction of soil classes in a complex landscape in Southern Brazil
- Uso da espectroscopia de refletância para classificar a textura do solo para fins de seguro agrícola
- Carbonates and organic matter in soils characterized by reflected energy from 350-25000 nm wavelength
- Prediction of soil texture classes through different wavelength regions of reflectance spectroscopy at various soil depths
- A regional legacy soil dataset for prediction of sand and clay content with Vis-Nir-Swir, in Southern Brazil
- Identification of minerals in subtropical soils with different textural classes by VIS–NIR–SWIR reflectance spectroscopy
- Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil
- Soil environment grouping system based on spectral, climate, and terrain data: a quantitative branch of soil series
- Combining multiple methods for automated soil delineation: from traditional to digital
Informações sobre o DOI: 10.1016/j.scitotenv.2020.139895 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
