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Rapid Characterization of Vegetation Structure with a Microsoft Kinect Sensor

The importance of vegetation structure and biomass in controlling land-atmosphere exchange is widely recognized, but measurements of canopy structure are challenging, time consuming, and often rely on destructive methods. The Microsoft Kinect is an infrared sensor designed for video gaming that outp...

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Detalles Bibliográficos
Autores principales: Azzari, George, Goulden, Michael L., Rusu, Radu B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3649362/
https://www.ncbi.nlm.nih.gov/pubmed/23435053
http://dx.doi.org/10.3390/s130202384
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author Azzari, George
Goulden, Michael L.
Rusu, Radu B.
author_facet Azzari, George
Goulden, Michael L.
Rusu, Radu B.
author_sort Azzari, George
collection PubMed
description The importance of vegetation structure and biomass in controlling land-atmosphere exchange is widely recognized, but measurements of canopy structure are challenging, time consuming, and often rely on destructive methods. The Microsoft Kinect is an infrared sensor designed for video gaming that outputs synchronized color and depth images and that has the potential to allow rapid characterization of vegetation structure. We compared depth images from a Kinect sensor with manual measurements of plant structure and size for two species growing in a California grassland. The depth images agreed well with the horizontal and vertical measurements of plant size made manually. Similarly, the plant volumes calculated with a three-dimensional convex hulls approach was well related to plant biomass. The Kinect showed some limitations for ecological observation associated with a short measurement range and daytime light contamination. Nonetheless, the Kinect's light weight, fast acquisition time, low power requirement, and cost make it a promising tool for rapid field surveys of canopy structure, especially in small-statured vegetation.
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spelling pubmed-36493622013-06-04 Rapid Characterization of Vegetation Structure with a Microsoft Kinect Sensor Azzari, George Goulden, Michael L. Rusu, Radu B. Sensors (Basel) Article The importance of vegetation structure and biomass in controlling land-atmosphere exchange is widely recognized, but measurements of canopy structure are challenging, time consuming, and often rely on destructive methods. The Microsoft Kinect is an infrared sensor designed for video gaming that outputs synchronized color and depth images and that has the potential to allow rapid characterization of vegetation structure. We compared depth images from a Kinect sensor with manual measurements of plant structure and size for two species growing in a California grassland. The depth images agreed well with the horizontal and vertical measurements of plant size made manually. Similarly, the plant volumes calculated with a three-dimensional convex hulls approach was well related to plant biomass. The Kinect showed some limitations for ecological observation associated with a short measurement range and daytime light contamination. Nonetheless, the Kinect's light weight, fast acquisition time, low power requirement, and cost make it a promising tool for rapid field surveys of canopy structure, especially in small-statured vegetation. Molecular Diversity Preservation International (MDPI) 2013-02-11 /pmc/articles/PMC3649362/ /pubmed/23435053 http://dx.doi.org/10.3390/s130202384 Text en © 2013 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
Azzari, George
Goulden, Michael L.
Rusu, Radu B.
Rapid Characterization of Vegetation Structure with a Microsoft Kinect Sensor
title Rapid Characterization of Vegetation Structure with a Microsoft Kinect Sensor
title_full Rapid Characterization of Vegetation Structure with a Microsoft Kinect Sensor
title_fullStr Rapid Characterization of Vegetation Structure with a Microsoft Kinect Sensor
title_full_unstemmed Rapid Characterization of Vegetation Structure with a Microsoft Kinect Sensor
title_short Rapid Characterization of Vegetation Structure with a Microsoft Kinect Sensor
title_sort rapid characterization of vegetation structure with a microsoft kinect sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3649362/
https://www.ncbi.nlm.nih.gov/pubmed/23435053
http://dx.doi.org/10.3390/s130202384
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