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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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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. |
format | Online Article Text |
id | pubmed-4279484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT richardsonjeffreyj terrestriallaserscanningforvegetationsampling AT moskallmonika terrestriallaserscanningforvegetationsampling AT bakkerjonathand terrestriallaserscanningforvegetationsampling |