Terrestrial laser scanning for vegetation sampling
Autor: | Jeffrey J. Richardson, Jonathan D. Bakker, L. M. Moskal |
---|---|
Rok vydání: | 2014 |
Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences Point cloud Forests lcsh:Chemical technology 010603 evolutionary biology 01 natural sciences Biochemistry Article patchiness Analytical Chemistry Trees forest remote sensing Imaging Three-Dimensional Environmental monitoring Leverage (statistics) lcsh:TP1-1185 grazing Electrical and Electronic Engineering Instrumentation 0105 earth and related environmental sciences Remote sensing density Thinning Lasers Plant community Agriculture 15. Life on land Atomic and Molecular Physics and Optics Habitat Spatial ecology Environmental science Landscape ecology Algorithms fire Environmental Monitoring |
Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 14 Issue 11 Pages 20304-20319 Sensors, Vol 14, Iss 11, Pp 20304-20319 (2014) |
ISSN: | 1424-8220 |
Popis: | We developed new vegetation indices utilizing terrestrial laser scanning (TLS) to quantify the three-dimensional spatial configuration of plant communities. These indices leverage the novelty of TLS data and rely on the spatially biased arrangement of a TLS point cloud. We calculated these indices from TLS data acquired within an existing long term manipulation of forest structure in Central Oregon, USA, and used these data to test for differences in vegetation structure. Results provided quantitative evidence of a significant difference in vegetation density due to thinning and burning, and a marginally significant difference in vegetation patchiness due to grazing. A comparison to traditional field sampling highlighted the novelty of the TLS based method. By creating a linkage between traditional field sampling and landscape ecology, these indices enable field investigations of fine-scale spatial patterns. Applications include experimental assessment, long-term monitoring, and habitat characterization. |
Databáze: | OpenAIRE |
Externí odkaz: |