APA (7th ed.) Citation

Haubert, D. d. F. d. S., Vedana, N. G., Mendonça, W. A., de Oliveira, K. M., de Oliveira, C. A., Gonçalves, J. V. F., . . . Nanni, M. R. (2026). Soil Suborder Discrimination Using Machine Learning Is Improved by SWIR Imaging Compared with Full VIS–NIR–SWIR Spectra. Remote Sensing, 18(6), 898. https://doi.org/10.3390/rs18060898

Chicago Style (17th ed.) Citation

Haubert, Daiane de Fatima da Silva, et al. "Soil Suborder Discrimination Using Machine Learning Is Improved by SWIR Imaging Compared with Full VIS–NIR–SWIR Spectra." Remote Sensing 18, no. 6 (2026): 898. https://doi.org/10.3390/rs18060898.

MLA (9th ed.) Citation

Haubert, Daiane de Fatima da Silva, et al. "Soil Suborder Discrimination Using Machine Learning Is Improved by SWIR Imaging Compared with Full VIS–NIR–SWIR Spectra." Remote Sensing, vol. 18, no. 6, 2026, p. 898, https://doi.org/10.3390/rs18060898.