Prediction of soil texture classes through different wavelength regions of reflectance spectroscopy at various soil depths (2020)
- Authors:
- USP affiliated authors: DEMATTE, JOSE ALEXANDRE MELO - ESALQ ; DOTTO, ANDRÉ CARNIELETTO - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.catena.2020.104485
- Subjects: ANÁLISE DO SOLO; ESPECTROSCOPIA; TEXTURA DO SOLO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
COBLINSKI, João Augusto et al. Prediction of soil texture classes through different wavelength regions of reflectance spectroscopy at various soil depths. Catena, v. 189, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.catena.2020.104485. Acesso em: 26 dez. 2025. -
APA
Coblinski, J. A., Giasson, É., Demattê, J. A. M., Dotto, A. C., Costa, J. J. F., & Vašát, R. (2020). Prediction of soil texture classes through different wavelength regions of reflectance spectroscopy at various soil depths. Catena, 189, 1-12. doi:10.1016/j.catena.2020.104485 -
NLM
Coblinski JA, Giasson É, Demattê JAM, Dotto AC, Costa JJF, Vašát R. Prediction of soil texture classes through different wavelength regions of reflectance spectroscopy at various soil depths [Internet]. Catena. 2020 ; 189 1-12.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1016/j.catena.2020.104485 -
Vancouver
Coblinski JA, Giasson É, Demattê JAM, Dotto AC, Costa JJF, Vašát R. Prediction of soil texture classes through different wavelength regions of reflectance spectroscopy at various soil depths [Internet]. Catena. 2020 ; 189 1-12.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1016/j.catena.2020.104485 - Carbonates and organic matter in soils characterized by reflected energy from 350-25000 nm wavelength
- Identification of minerals in subtropical soils with different textural classes by VIS–NIR–SWIR reflectance spectroscopy
- A regional legacy soil dataset for prediction of sand and clay content with Vis-Nir-Swir, in Southern Brazil
- 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
- When does stratification of a subtropical soil spectral library improve predictions of soil organic carbon content?
- Prediction of soil classes in a complex landscape in Southern Brazil
- Chitinase production by Trichoderma koningiopsis UFSMQ40 using solid state fermentation
- Uso da espectroscopia de refletância para classificar a textura do solo para fins de seguro agrícola
- Combining multiple methods for automated soil delineation: from traditional to digital
Informações sobre o DOI: 10.1016/j.catena.2020.104485 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
2991573-Prediction_of_soi... |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
