Liu, Jiangtao, Shen, Chaopeng, Pei, Te, Kifer, Daniel, and Lawson, Kathryn. The Value of Terrain Pattern, High‐Resolution Data and Ensemble Modeling for Landslide Susceptibility Prediction. Retrieved from https://par.nsf.gov/biblio/10639088. Journal of Geophysical Research: Machine Learning and Computation 2.3 Web. doi:10.1029/2024JH000460.

Liu, Jiangtao, Shen, Chaopeng, Pei, Te, Kifer, Daniel, & Lawson, Kathryn. The Value of Terrain Pattern, High‐Resolution Data and Ensemble Modeling for Landslide Susceptibility Prediction. Journal of Geophysical Research: Machine Learning and Computation, 2 (3). Retrieved from https://par.nsf.gov/biblio/10639088. https://doi.org/10.1029/2024JH000460

Liu, Jiangtao, Shen, Chaopeng, Pei, Te, Kifer, Daniel, and Lawson, Kathryn. "The Value of Terrain Pattern, High‐Resolution Data and Ensemble Modeling for Landslide Susceptibility Prediction". Journal of Geophysical Research: Machine Learning and Computation 2 (3). Country unknown/Code not available: American Geophysical Union. https://doi.org/10.1029/2024JH000460. https://par.nsf.gov/biblio/10639088.

@article{osti_10639088,
place = {Country unknown/Code not available}, title = {The Value of Terrain Pattern, High‐Resolution Data and Ensemble Modeling for Landslide Susceptibility Prediction}, url = {https://par.nsf.gov/biblio/10639088}, DOI = {10.1029/2024JH000460}, abstractNote = {}, journal = {Journal of Geophysical Research: Machine Learning and Computation}, volume = {2}, number = {3}, publisher = {American Geophysical Union}, author = {Liu, Jiangtao and Shen, Chaopeng and Pei, Te and Kifer, Daniel and Lawson, Kathryn}, }