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Terrestrial Laser Scanning for Vegetation Sampling

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 f...

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Detalles Bibliográficos
Autores principales: Richardson, Jeffrey J, Moskal, L. Monika, Bakker, Jonathan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279484/
https://www.ncbi.nlm.nih.gov/pubmed/25353981
http://dx.doi.org/10.3390/s141120304
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author Richardson, Jeffrey J
Moskal, L. Monika
Bakker, Jonathan D.
author_facet Richardson, Jeffrey J
Moskal, L. Monika
Bakker, Jonathan D.
author_sort Richardson, Jeffrey J
collection PubMed
description 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.
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spelling pubmed-42794842015-01-15 Terrestrial Laser Scanning for Vegetation Sampling Richardson, Jeffrey J Moskal, L. Monika Bakker, Jonathan D. Sensors (Basel) Article 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. MDPI 2014-10-28 /pmc/articles/PMC4279484/ /pubmed/25353981 http://dx.doi.org/10.3390/s141120304 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Richardson, Jeffrey J
Moskal, L. Monika
Bakker, Jonathan D.
Terrestrial Laser Scanning for Vegetation Sampling
title Terrestrial Laser Scanning for Vegetation Sampling
title_full Terrestrial Laser Scanning for Vegetation Sampling
title_fullStr Terrestrial Laser Scanning for Vegetation Sampling
title_full_unstemmed Terrestrial Laser Scanning for Vegetation Sampling
title_short Terrestrial Laser Scanning for Vegetation Sampling
title_sort terrestrial laser scanning for vegetation sampling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279484/
https://www.ncbi.nlm.nih.gov/pubmed/25353981
http://dx.doi.org/10.3390/s141120304
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