LiDAR-derived snowpack data sets from mixed conifer forests across the Western United States

A. A. Harpold, Q. Guo, N. Molotch, Paul Brooks, R. Bales, J. C. Fernandez-Diaz, K. N. Musselman, T. L. Swetnam, P. Kirchner, M. W. Meadows, J. Flanagan, R. Lucas

Research output: Contribution to journalArticlepeer-review

61 Scopus citations


Airborne-based Light Detection and Ranging (LiDAR) offers the potential to measure snow depth and vegetation structure at high spatial resolution over large extents and thereby increase our ability to quantify snow water resources. Here we present airborne LiDAR data products at four Critical Zone Observatories (CZO) in the Western United States: Jemez River Basin, NM, Boulder Creek Watershed, CO, Kings River Experimental Watershed, CA, and Wolverton Basin, CA. We make publicly available snow depth data products (1 m2 resolution) derived from LiDAR with an estimated accuracy of <30 cm compared to limited in situ snow depth observations.

Original languageEnglish (US)
Pages (from-to)2749-2755
Number of pages7
JournalWater Resources Research
Issue number3
StatePublished - Mar 2014
Externally publishedYes


  • airborne LIDAR
  • critical zone observatory
  • snow-vegetation interactions
  • snowpack

ASJC Scopus subject areas

  • Water Science and Technology


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