Cite
Enhancing landslide predictability: Validating geophysical surveys for soil moisture detection in 2D and 3D scenarios.
MLA
Bortolozo, Cassiano Antonio, et al. “Enhancing Landslide Predictability: Validating Geophysical Surveys for Soil Moisture Detection in 2D and 3D Scenarios.” Journal of South American Earth Sciences, vol. 132, Dec. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.jsames.2023.104664.
APA
Bortolozo, C. A., Mendes, T. S. G., Egas, H. M., Metodiev, D., Moraes, M. V. de, Andrade, M. R. M. de, Pryer, T., Ashby, B., Motta, M. F. B., Simões, S. J. C., Pampuch, L. A., Mendes, R. M., & Moraes, M. A. E. de. (2023). Enhancing landslide predictability: Validating geophysical surveys for soil moisture detection in 2D and 3D scenarios. Journal of South American Earth Sciences, 132, N.PAG. https://doi.org/10.1016/j.jsames.2023.104664
Chicago
Bortolozo, Cassiano Antonio, Tatiana Sussel Gonçalves Mendes, Harideva Marturano Egas, Daniel Metodiev, Maiconn Vinicius de Moraes, Marcio Roberto Magalhães de Andrade, Tristan Pryer, et al. 2023. “Enhancing Landslide Predictability: Validating Geophysical Surveys for Soil Moisture Detection in 2D and 3D Scenarios.” Journal of South American Earth Sciences 132 (December): N.PAG. doi:10.1016/j.jsames.2023.104664.