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The comparison of LVIS, and RIEGL LiDAR data in a Tropical Dry Forest

  • Author / Creator
    Liu, Chenzherui
  • Studying structural changes in tropical forests is essential for understanding changes in ecosystem complexity. In this thesis, I studied changes in ecosystem structure using two different airborne Light Detection and Range (LiDAR) systems collected 16-years apart (the 2005 dry season and the 2022 wet season). Line- and shape-based waveform metrics were used to document structural changes in secondary Tropical Dry Forests located in Santa Rosa National Park, Guanacaste, Costa Rica.
    My analysis based on a 16-year growth period showed significant variations in canopy height-related profiles, particularly in the RH50, RH100, and other waveform-produced metrics such as (Cx and Cy). Our results revealed that the centroid location on tree height (Cy) and the derived Radio of Gyration (RG) present significant changes.
    Moreover, I observed positive correlations between Cy and CH, RG and RH100 especially in the wet season data collected in 2021. These findings not only enhance our understanding of the growth dynamics of TDFs in Santa Rosa National Park but also provide valuable insights that can inform future conservation efforts. By comprehending these complex chronosequence changes and growth patterns, we can develop effective strategies for preserving and managing these critical ecosystems in a changing world.

  • Subjects / Keywords
  • Graduation date
    Fall 2023
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/r3-yr3b-vg48
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.