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NEON-SD: A 30-m Structural Diversity Product Derived from the NEON Discrete-Return LiDAR Point Cloud.

Authors :
Wang, Jianmin
Choi, Dennis H.
LaRue, Elizabeth
Atkins, Jeff W.
Foster, Jane R.
Matthes, Jaclyn H.
Fahey, Robert T.
Fei, Songlin
Hardiman, Brady S.
Source :
Scientific Data; 10/29/2024, Vol. 11 Issue 1, p1-10, 10p
Publication Year :
2024

Abstract

Structural diversity (SD) characterizes the volume and physical arrangement of biotic components in an ecosystem which control critical ecosystem functions and processes. LiDAR data provides detailed 3-D spatial position information of components and has been widely used to calculate SD. However, the intensive computation of SD metrics from extensive LiDAR datasets is time-consuming and challenging for researchers who lack access to high-performance computing resources. Moreover, a lack of understanding of LiDAR data and algorithms could lead to inconsistent SD metrics. Here, we developed a SD product using the Discrete-Return LiDAR Point Cloud from the NEON Aerial Observation Platform. This product provides SD metrics detailing height, density, openness, and complexity at a spatial resolution of 30 m, aligned to the Landsat grids, for 211 site-years for 45 Terrestrial NEON sites from 2013 to 2022. To accommodate various ecosystems with different understory heights, it includes three different cut-off heights (0.5 m, 2 m, and 5 m). This structural diversity product can enable various applications such as ecosystem productivity estimation and disturbance monitoring. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20524463
Volume :
11
Issue :
1
Database :
Complementary Index
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
180587771
Full Text :
https://doi.org/10.1038/s41597-024-04018-0