This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

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Data Package Summary    View Full Metadata

  • Sparse point clouds derived from UAV overflights of the fifteen NPP study sites at Jornada Basin LTER in 2019
  • Wojcikiewicz, Robert RK; New Mexico State University
    Hanan, Niall P.; New Mexico State University
  • 2020-12-08
  • Wojcikiewicz, R.R. and N.P. Hanan. 2020. Sparse point clouds derived from UAV overflights of the fifteen NPP study sites at Jornada Basin LTER in 2019 ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).
  • This data package contains sparse point clouds for each of the 15 NPP study sites at the Jornada Basin LTER in southern New Mexico, USA. The point clouds were derived from raw images collected during uncrewed aerial vehicle (UAV) overflight missions conducted in late summer and early autumn of 2019 (1 overflight day per site). For each site one or two missions were flown during an afternoon using a DJI Phantom 4 UAV, and between 450 and 1300 12.4 megapixel RGB images were captured. A subset of images captured at each site were loaded into Agisoft Metashape software to derive points using a structure from motion method. The raw images are not provided but can be made available via project PIs. This data package includes point clouds for all 15 sites as geotiff raster files. Other derived products from these UAV missions, including orthomosaic photos, digital elevation models, and digital terrain models, are available in other EDI data packages (knb-lter-jrn.210543001, knb-lter-jrn.210543002, and knb-lter-jrn.210543003, respectively). This study is complete.

  • N: 32.669      S: 32.488      E: -106.713      W: -106.865
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  •  (1 download) 
  • Data Entities:
    1. File inventory and metadata  (4.5 KiB; 7 downloads) 
    2. UAV flight metadata  (3.5 KiB; 6 downloads) 
    3. CCALI sparse point cloud file  (13.2 MiB; 5 downloads) 
    4. CGRAV sparse point cloud file  (15.2 MiB; 5 downloads) 
    5. CSAND sparse point cloud file  (14.4 MiB; 6 downloads) 
    6. GBASN sparse point cloud file  (6.5 MiB; 6 downloads) 
    7. GIBPE sparse point cloud file  (11.1 MiB; 6 downloads) 
    8. GSUMM sparse point cloud file  (9.6 MiB; 5 downloads) 
    9. MNORT sparse point cloud file  (19.2 MiB; 5 downloads) 
    10. MRABB sparse point cloud file  (12.8 MiB; 5 downloads) 
    11. MWELL sparse point cloud file  (16.7 MiB; 4 downloads) 
    12. PCOLL sparse point cloud file  (11.0 MiB; 5 downloads) 
    13. PSMAL sparse point cloud file  (9.3 MiB; 6 downloads) 
    14. PTOBO sparse point cloud file  (9.3 MiB; 6 downloads) 
    15. TEAST sparse point cloud file  (12.5 MiB; 5 downloads) 
    16. TWEST sparse point cloud file  (25.8 MiB; 5 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) has an ethical obligation 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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