View.pdf

PERS_72_11_1265.pdf
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🔗 Source: era.library.ualberta.ca
📊 Size: 312 KB
👤 Author: Jason Su and Edward Bork
⬇️ Downloads: 54

Summary

Researchers evaluated the accuracy of digital elevation models (DEMs) derived from lidar data in a complex rangeland landscape, the Aspen Parkland of western Canada. They found that interpolation using Inverse Distance Weighting (IDW) resulted in lower mean error than other methods, with an overall signed error and RMSE of -0.02 m and 0.59 m, respectively. The study revealed that elevations were over-estimated in forest habitats and under-estimated in meadow habitats, and that increasing slope gradient increased vertical absolute errors and RMSE, while lidar sampling angle had little impact on measured error. The results have implications for the development and use of high-resolution DEM models derived from lidar data.

Description

Researchers evaluated the accuracy of digital elevation models (DEMs) derived from lidar data in a complex rangeland landscape, the Aspen Parkland of western...

Technical Information

  • File Format: PDF
  • File Size: 312 KB
  • Pages: 10
  • Language: EN
  • Author: Jason Su and Edward Bork
  • Total Downloads: 54
  • Last Updated: 5 hours ago

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