DOI: https://doi.org/10.5069/G9NV9GFG OT Collection ID: OT.062023.6340.1
OT Collection Name: Quantitative Characterization of Dune-Dune Interactions, CA 2022
Short Name: CA22_Marvin
Collection Platform: Airborne Lidar
Collection Overview:
This lidar dataset was collected as part of an NCALM Seed grant for M. Colin Marvin at the Stanford University. This dataset was collected to aid the quantitative characterization of dune-dune interactions in the Rice Valley dune field in the southeastern Mojave Desert.
Dataset Acknowledgement: Lidar data acquisition and processing completed by the National Center for Airborne Laser Mapping (NCALM). NCALM funding provided by NSF's Division of Earth Sciences, Instrumentation and Facilities Program. EAR-1830734
Dataset Citation: Marvin, M.C. (2023). Quantitative Characterization of Dune-Dune Interactions, CA 2022. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9NV9GFG. Accessed: 2024-12-21Copied to Clipboard