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Data Package Summary    View Full Metadata

  • Hubbard Brook Experimental Forest: 5 meter LiDAR-derived Topographic Metrics, 2018
  • Fraser, Olivia
    McGuire, Kevin J
    Bailey, Scott W.
  • 2019-05-20
  • Fraser, O., K. McGuire, and S. Bailey. 2019. Hubbard Brook Experimental Forest: 5 meter LiDAR-derived Topographic Metrics, 2018 ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).

  • This data package contains 5 m LiDAR-derived topographic metrics across Hubbard Brook EF following the approach reported by (Gillin et al., 2015). The LiDAR was collected during leaf-off and snow-free conditions by Photo Science, Inc. in April 2012 for the White Mountain National Forest (WMNF).

    These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

    Gillin, C.P., S.W. Bailey, K.J. McGuire, and J.P. Gannon. 2015. Mapping of Hydropedologic Spatial Patterns in a Steep Headwater Catchment. Soil Sci. Soc. Am. J. 79(2): 440–453. doi: 10.2136/sssaj2014.05.0189.

  • N: 43.959      S: 43.914      E: -71.7022      W: -71.8062
  • knb-lter-hbr.212.1  (Uploaded 2019-05-20)  
  • View Full Metadata (120 views)
  • View Quality Report
  • Data Entities:
    1. 5 m Maximum Slope (%)  (9.2 MiB; 7 downloads) 
    2. 5 m Topographc Position Index (TPI) (100 m)  (9.2 MiB; 6 downloads) 
    3. 5 m Upslope Accumlated Flow (UAA)  (9.2 MiB; 6 downloads) 
    4. 5 m Topographic Wetness Index (TWId)  (10.0 MiB; 6 downloads) 
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER

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