Publication(s) with 2012-02 dataset

<2014-44>
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
<2015-46>
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
<2015-61>
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
<2016-20>
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
<2020-87>
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
<2023-77>
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