Dataset Listing

Boulder Creek - LiDAR - Derived DEM from LIDAR (2010)

Variables:  LIDAR, DEM, DSM, GIS

Standard Variables:  Digital elevation model|Lidar

Date Range:  (2010-05-01 to 2010-08-31)

Dataset Creators/Authors:  Eric Parrish; Suzanne Anderson


Field Area:   Boulder Creek Watershed

Keywords & XML
  • Description

    This data release consists of Digital Elevation Models (DEM's) and LAS-formated point cloud tiles derived from a snow-on (May, 2010) and snow-off (August, 2010) LiDAR (Light Detection and Ranging) survey inside the Boulder Creek Critical Zone Observatory (CZO), near Boulder Colorado. This data was collected in collaboration between the Boulder Creek CZO and the National Center for Airborne Laser Mapping (NCALM), both funded by the National Science Foundation (NSF). Together, the LiDAR Digital Elevation Models (DEM) and point cloud data will be of interest to land managers, scientists, and others for study of topography, snow, ecosystems and environmental change. The Boulder Creek CZO will be using the LiDAR data to further their mission of focusing on how water, atmosphere, ecosystems, & soils interact and shape the Earth's surface. The "Critical Zone" lies between rock and sky. It is essential to life - including human food production - and helps drive Earth's carbon cycle, climate change, stream runoff, and water quality. To download raw LAS files, please go to Open Topography.
    For more details, click on the README.
    Click for metadata of this data set.
  • Keywords


    XML Metadata

    XML is in ISO-19115 geographic metadata format, compatible with ESRI Geoportal Server.

  • Citation for This Webpage

    Eric Parrish; Suzanne Anderson (2010). "CZO Dataset: Boulder Creek - LiDAR (2010) - Derived DEM from LIDAR." Retrieved 09 Apr 2020, from


Betasso(Snow off - filtered) - 1m Filtered DSM

(.zip)   Data Level 1

Betasso(Snow off - filtered) - 1m Hillshade

(.zip)   Data Level 1

Gordon Gulch (Snow off-filtered) - 1m Filtered DSM

(.zip)   Data Level 1

Gordon Gulch(Snow off - filtered) - 1m Hillshade

(.zip)   Data Level 1

Como Creek(Snow off - filtered) - 1m Filtered DSM

(.zip)   Data Level 1

Como Creek(Snow off - filtered) - 1m Hillshade

(.zip)   Data Level 1

Green Lakes Valley(Snow off - filtered) - 1m Filtered DSM

(.zip)   Data Level 1

Green Lakes Valley(Snow off - filtered) - 1m Hillshade

(.zip)   Data Level 1

Boulder Creek (Snow off - filtered - Last stop) - 1m Filtered Lidar DEM

(.zip)   Data Level 1

Boulder Creek(Snow off - filtered - Last Stop) - 1m Hillshade

(.zip)   Data Level 1

Boulder Creek (Snow off - unfiltered - First Stop) - 1m Unfiltered Lidar DEM

(.zip)   Data Level 1

Boulder Creek(Snow off - unfiltered - First stop) - 1m Unfiltered Hillshade

(.zip)   Data Level 1

Data Use Policy
Data Sharing Policy
Related Datasets
  • Data Use Policy

    DRAFT v.0.4.0

    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 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.

  • Data Sharing Policy

    DRAFT v.0.2.5

    All CZO investigators and collaborators who receive material or logistical support from a CZO agree to:

    1. Share data privately within 1 year. CZO investigators and collaborators agree to provide CZO Data Products* — including data files and metadata for raw, quality controlled and/or derived data — to CZO data managers within one year of collection of samples, in situ or experimental data. By default, data values will be held in a Private CZO Repository**, but metadata will be made public and will provide full attribution to the Dataset Creators†.

    2. Release data to public within 2 years. CZO Dataset Creators will be encouraged after one year to release data for public access. Dataset Creators may chose to publish or release data sooner.

    3. Request, in writing, data privacy up to 4 years. CZO PIs will review short written applications to extend data privacy beyond 2 years and up to 4 years from time of collection. Extensions beyond 3 years should not be the norm, and will be granted only for compelling cases.

    4. Consult with creators of private CZO datasets prior to use. In order to enable the collaborative vision of the CZO program, data in private CZO repositories will be available to other investigators and collaborators within that CZO. Releasing or publishing any derivative of such private data without explicit consent from the dataset creators will be considered a serious scientific ethics violation.

    * CZO Data Products. Defined as data collected with any monetary or logistical support from a CZO. Logistical support includes the use of any CZO sensors, sampling infrastructure, equipment, vehicles, or labor from a supported investigator, student or staff person. CZO Data Products can acknowledge multiple additional sources of support.

    ** Private CZO Repository. Defined as a password-protected directory on each CZO’s data server. Files will be accessible by all investigators and collaborators within the given CZO and logins will be maintained by that local CZO’s data managers. Although data values will not be accessible by the public or ingested into any central data system (i.e. CUAHSI HIS), metadata will be fully discoverable by the public. This provides the dual benefit of giving attribution and credit to dataset creators and the CZO in general, while maintaining protection of intellectual property while publications are pending.

    † Dataset Creators. Defined as the people who are responsible for designing, collecting, analyzing and providing quality assurance for a dataset. The creators of a dataset are analogous to the authors of a publication, and datasets should be cited in an analogous manner following the emerging international guidelines described at

  • Related Datasets

    Boulder Creek (2010). LiDAR, Derived DEM from LIDAR...
    Boulder Creek (2010). LiDAR, Point Cloud Data at (Snow off)...
    Boulder Creek (2010-2018). GIS/Map Data, ArcGIS API BCCZO GIS...

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