Variables: Digital Elevation Model, Digital Surface Model, Shaded Relief, Classified Point Cloud
Date Range: (2010-03-27 to 2010-04-03) Dataset DOI: 10.5069/G9W37T86
Dataset Creators/Authors: Qinghua Guo; Jon Pelletier; Matej Durcik
Contact: Jon D. Pelletier, Department of Geosciences, University of Arizona, 1040 E. Fourth St., Tucson, AZ 85721, email@example.com
Field Area: Jemez River Basin
DEM, Digital Elevation Model, DSM, Digital Surface Model, LiDAR, Terrain, Surface, Critical Zone, Valles Caldera, Jemez River, New Mexico
XML is in ISO-19115 geographic metadata format, compatible with ESRI Geoportal Server.
LiDAR data acquisition and processing were completed by the National Center for Airborne Laser Mapping (NCALM), funded by the National Science Foundation Award EAR-0922307, and coordinated by Qinghua Guo for the Jemez River Basin and Santa Catalina Mountains Critical Zone Observatory funded by the National Science Foundation Award EAR-0724958.
Qinghua Guo; Jon Pelletier; Matej Durcik (2010). "CZO Dataset: Jemez River Basin - LiDAR (2010) - Snow-on." Retrieved 18 Apr 2019, from http://criticalzone.org/national/data/dataset/2612/
LiDAR-derived snowpack data sets from mixed conifer forests across the Western United States. Harpold, A.A., Q. Guo, N. Molotch, P. D. Brooks, R. Bales, J.C. Fernandez-Diaz, K.N. Musselman, and T.L. Swetnam, P. Kirchner, M. Meadows, J. Flanagan, R. Lucas (2014): Water Resources Research 50(3): 2749-2755
Changes in snow accumulation and ablation following the Las Conchas Forest Fire, New Mexico, USA. Harpold A.A., Biederman J.A., Condon K., Merino M., Korgaonkar Y., Nan T., Sloat L.L., Ross M. and Brooks P.D. (2014): Ecohydrology 7(2): 440–452
Changes in snowpack accumulation and ablation in the intermountain west. Harpold A.A., Brooks P.D., Rajogopal S., Heidebuchel I., Jardine A., and Stielstra C. (2012): Water Resources Research 48: W11501
Trends in Snowpack Depths and the Timing of Snowmelt in the River Basins of the Intermountain West . Harpold, A.A., Rajagopal, S., Heidbuechel, I., Stielstra, C., Jardine, A.B., Brooks, P.D. (2010): AGU Fall Meeting Abstract H31I-08.
Application of Metabolic Scaling Theory to reduce error in local maxima tree segmentation from aerial LiDAR. Swetnam T.L. and Falk D.A. (2014): Forest Ecology and Management 323: 158–167
(13.2) Data Level 2
(.zip) Data Level 2, Metadata
(.zip) Data Level 2
(.zip) Data Level 2
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**Private. Most private data will be released to the public within 1-2 years, with some exceptionally challenging datasets up to 4 years. To inquire about potential earlier use, please contact us.