Publication(s) with 2012-02 dataset

Pelletier, J.D. and C.A. Orem (2014), How do sediment yields from post-wildfire debris-laden flows depend on terrain slope, soil burn severity class, and drainage basin area? Insights from airborne-LiDAR change detection Earth Surface Processes and Landforms, 39(13), 1822-1832, doi: 10.1002/esp.3570
Orem, C. A. and J. D. Pelletier (2015), Quantifying the Time Scale of Elevated Geomorphic Response Following Wildfires Using Multi-temporal LiDAR Data: An Example from the LAS Conchas Fire, Jemez Mountains, New Mexico, Geomorphology, 232, 224-238, doi: 10.1016/j.geomorph.2015.01.006
Swetnam, T.L., A.M. Lynch, D.A. Falk, S.R. Yool, and D.P. Guertin (2015), Discriminating Disturbance from Natural Variation with LiDAR in Semi-arid Forests in the Southwestern USA, Ecosphere, 6(6), doi: 10.1890/ES14-00384.1
Olyphant, J., J.D. Pelletier, and R. Johnson (2016), Topographic Correlations with Soil and Regolith Thickness from Shallow-Seismic Refraction Constraints across Upland Hillslopes in the Valles Caldera, New Mexico, Earth Surface Processes and Landforms, doi: 10.1002/esp.3941
Moeser, C., P. Broxton, A. Harpold, and A. Robertson (2020), Estimating the Effects of Forest Structure Changes from Wildfire on Snow Water Resources under Varying Meteorological Conditions, Water Resources Research, 56, doi: 10.1029/2020WR027071
Hwang, K., A. Harpold, C. Tague, L. Lowman, G. Boisrame, K. Lininger, P. Sullivan, A. Manning, L. Graup, M. Livtak, G. Lewis, K. Miller, P. Brooks, and H. Barnard (2023), Seeing the Disturbed Forest for the Trees: Remote Sensing is Underutilized to Quantify Critical Zone Response to Unprecedented Disturbance, Earth¡¯s Future, 11, doi: 10.1029/2022EF003314