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, firstname.lastname@example.org
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 26 Mar 2019, from http://criticalzone.org/catalina-jemez/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
1. Use our data freely. All CZO Data Products* except those labelled Private** are released to the public and may be freely copied, distributed, edited, remixed, and built upon under the condition that you give acknowledgement as described below. Non-CZO data products — like those produced by USGS or NOAA — have their own use policies, which should be followed.
2. Give proper citation and acknowledgement. Publications, models and data products that make use of these datasets must include proper citation and acknowledgement. Most importantly, provide a citation in a similar way as a journal article (i.e. author, title, year of publication, name of CZO “publisher”, edition or version, and URL or DOI access information. See http://www.datacite.org/whycitedata). Also include at least a brief acknowledgement such as: “Data were provided by the NSF-supported Southern Sierra Critical Zone Observatory” (replace with the appropriate observatory name).
3. Let us know how you will use the data. The dataset creators would appreciate hearing of any plans to use the dataset. Consider consultation or collaboration with dataset creators.
*CZO Data Products. Defined as a data collected with any monetary or logistical support from a CZO.
**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.