Crawford, M.M., Dortch, J.M., Koch, H.J., Killen, A.A., Zhu, J., Zhu, Y., Bryson, L.S., and Haneberg, W.C. (2021). Using landslide-inventory for a combined bagged-trees and logistic regression approach to landslide susceptibility in eastern Kentucky, United States, Quarterly Journal of Engineering Geology and Hydrogeology http://doi.org/10.1144/qjegh2020-177

Crawford, M.M., Dortch, J.M., Koch, H.J., Zhu, Y., Haneberg, W.C., Wang, Z., and Bryson, L.S. (2022). Landslide Risk Assessment in Eastern Kentucky, USA: Developing a Regional Scale, Limited Resource Approach. https://doi.org/10.3390/rs14246246

Crawford, M.M., Wang, Z., Carpenter, N.S., Schmidt, J., Koch, H.J., and Dortch, J.M. (2023). Reconnaissance of Landslides and Debris Flows Associated with the July 2022 Flooding in Eastern Kentucky. Kentucky Geological Survey, Report of Investigations, Ser. 13 https://doi.org/10.13023/kgs.ri56.13.

Khabiri, S., Crawford, M.M., Koch, H.J., Haneberg, W.C., and Zhu, Y. (2023). An Assessment of Negative Samples and Model Structures in Landslide Susceptibility Characterization Based on Bayesian Network Models. Remote Sensing, 15, 3200. https://doi.org/10.3390/rs15123200

Swallom, S.L., Koch, H.J., Dortch, J.M., Crawford, M.M., Thigpen, J.R., Andrews, W.M. (2024). Evaluating root strength index as an indicator of landslide-prone slopes in eastern Kentucky. Landslides. [submitted]

Crawford, M.M., Koch, H.J., Dortch, J.M., Killen, A.A., and Haneberg, W.C. (2019). Comparison of LiDAR based landslide hazard assessments for eastern Kentucky, American Geophysical Union Fall Meeting, NH43B-07.

Crawford, M.M., Koch, H.J., Dortch, J.M., and Killen, A.A. (2019). Preliminary landslide mapping and hazard assessment results for Magoffin County, Kentucky, Geological Society of America Abstracts with Programs, Vol. 51, No. 5, http://doi.org/10.1130/abs/2019AM-339185

Crawford, M.M., Koch, H.J., Dortch, J.M., Killen, A.A., and Haneberg, W.C. (2020). Landslide-susceptibility and risk assessment, eastern Kentucky, Geological Society of America Abstracts with Programs, Vol. 52, No. 6, http://doi.org/10.1130/abs/2020AM-355833

Crawford, M.M., Dortch, J.M., Koch, H.J., Zhu, Y., and Haneberg, W.C. (2021). Landslide susceptibility and risk mapping in the Big Sandy Area Development District, eastern Kentucky, Geological Society of America Abstracts with Programs, Vol. 53, No. 6, http://doi.org/10.1130/abs/2021AM-369100

Koch, H.J., Dortch, J.M., and Haneberg, W.C., (2022). Developing geomorphic landform maps of central Kentucky using LiDAR-based terrain interpretation, Geological Society of America Abstracts with Programs. Vol. 54, No. 4, http://doi.org/10.1130/abs/2022NC-373288

Zhu, J. and Koch, H.J. (2023). Improving karst and sinkhole hazard evaluation and risk assessment for Kentucky. Kentucky Association of Mitigation Managers 2023 Annual Conference.

Koch, H.J., Crawford, M.M., and Dortch, J.M. (2023). Investigating landslide susceptibility model variation from distributed or subset inventory data, eastern Kentucky, USA. Geological Society of America Abstracts with Programs. Vol. 55, No. 6. http://doi.org/10.1130/abs/2023AM-390676

Swallom, M., Koch, H.J., Dortch, J.M., and Crawford, M.M. (2023). Evaluating root strength index as an indicator of landslide-prone slopes in eastern Kentucky. Geological Society of America Abstracts with Programs. Vol. 55, No. 6. http://doi.org/10.1130/abs/2023AM-390255

Koch, H.J., Crawford, M.M., Dortch, J.M., and Swallom, M.L. (2024). Physics-based, probabilistic, and practical: Landslide susceptibility model with PISA-m. Geological Society of America Abstracts with Programs. Vol. 56, No. 2, 2024 https://doi.org/10.1130/abs/2024SE-398002

Crawford, M.M., Koch, H.J., and Dortch, J.M. (2024). Building on Landslide Susceptibility Mapping in Kentucky: Assessing the Complexity of Statistics-based Model Performance and Map Quality. Geological Society of America Abstracts with Programs. Vol. 56, No. 2. https://doi.org/10.1130/abs/2024SE-398220

Koch, H.J., Dortch, J.M., Harrison, B., and Crawford, M.M. (2024). Addressing Stochastic Machine Learning Derived Landslide Susceptibility Model Results. American Geophysical Union Fall Meeting, NH030. [submitted]