Permafrost thaw sensitivity prediction using surficial geology, topography, and remote-sensing imagery: a data-driven neural network approach.

MLA

Oldenborger, Greg A., et al. “Permafrost Thaw Sensitivity Prediction Using Surficial Geology, Topography, and Remote-Sensing Imagery: A Data-Driven Neural Network Approach.” Canadian Journal of Earth Sciences, vol. 59, no. 11, Nov. 2022, pp. 897–913. EBSCOhost, https://doi.org/10.1139/cjes-2021-0117.

APA

Oldenborger, G. A., Short, N., & LeBlanc, A.-M. (2022). Permafrost thaw sensitivity prediction using surficial geology, topography, and remote-sensing imagery: a data-driven neural network approach. Canadian Journal of Earth Sciences, 59(11), 897–913. https://doi.org/10.1139/cjes-2021-0117

Chicago

Oldenborger, Greg A., Naomi Short, and Anne-Marie LeBlanc. 2022. “Permafrost Thaw Sensitivity Prediction Using Surficial Geology, Topography, and Remote-Sensing Imagery: A Data-Driven Neural Network Approach.” Canadian Journal of Earth Sciences 59 (11): 897–913. doi:10.1139/cjes-2021-0117.