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

Abstract

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.