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Three‐dimensional digitization of the arid land plant Haloxylon ammodendron using a consumer‐grade camera
Plant structural parameters are important for ecological studies and for monitoring the environment. Terrestrial laser scanning has become a widely accepted technique for acquiring accurate high‐density three‐dimensional information about plant surfaces; however, this instrument is expensive, techni...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010906/ https://www.ncbi.nlm.nih.gov/pubmed/29938101 http://dx.doi.org/10.1002/ece3.4126 |
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author | Huang, Hongyu Zhang, Hao Chen, Chongcheng Tang, Liyu |
author_facet | Huang, Hongyu Zhang, Hao Chen, Chongcheng Tang, Liyu |
author_sort | Huang, Hongyu |
collection | PubMed |
description | Plant structural parameters are important for ecological studies and for monitoring the environment. Terrestrial laser scanning has become a widely accepted technique for acquiring accurate high‐density three‐dimensional information about plant surfaces; however, this instrument is expensive, technically challenging to operate, heavy, and difficult to transport to hard‐to‐reach areas such as dense forests and undeveloped areas without easy vehicle access. Using Haloxylon ammodendron, a plant widely distributed in arid lands, as an example, we used a consumer‐grade handheld camera to take a series of overlapping images of this plant. Computer vision and photogrammetric software were used to reconstruct highly detailed three‐dimensional data of the plant surface. This surface data was compared to the point cloud of the plant acquired from concomitant terrestrial laser scanning. We demonstrated that the accuracy and degree of completeness of the image‐derived point clouds are comparable to that of laser scanning. Plant structural parameters (such as tree height and crown width) and three‐dimensional models extracted from the point clouds also agree well with a relative difference of less than 5%. Our case study shows that a common camera and image processing software can be an affordable, highly portable, and viable option for acquiring accurate and detailed high‐density and high‐resolution three‐dimensional information about plant structure in the environment. This digitization technique can record the plant and its surrounding environment effectively and efficiently, and it can be applied to many ecological fields and studies. |
format | Online Article Text |
id | pubmed-6010906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60109062018-06-22 Three‐dimensional digitization of the arid land plant Haloxylon ammodendron using a consumer‐grade camera Huang, Hongyu Zhang, Hao Chen, Chongcheng Tang, Liyu Ecol Evol Original Research Plant structural parameters are important for ecological studies and for monitoring the environment. Terrestrial laser scanning has become a widely accepted technique for acquiring accurate high‐density three‐dimensional information about plant surfaces; however, this instrument is expensive, technically challenging to operate, heavy, and difficult to transport to hard‐to‐reach areas such as dense forests and undeveloped areas without easy vehicle access. Using Haloxylon ammodendron, a plant widely distributed in arid lands, as an example, we used a consumer‐grade handheld camera to take a series of overlapping images of this plant. Computer vision and photogrammetric software were used to reconstruct highly detailed three‐dimensional data of the plant surface. This surface data was compared to the point cloud of the plant acquired from concomitant terrestrial laser scanning. We demonstrated that the accuracy and degree of completeness of the image‐derived point clouds are comparable to that of laser scanning. Plant structural parameters (such as tree height and crown width) and three‐dimensional models extracted from the point clouds also agree well with a relative difference of less than 5%. Our case study shows that a common camera and image processing software can be an affordable, highly portable, and viable option for acquiring accurate and detailed high‐density and high‐resolution three‐dimensional information about plant structure in the environment. This digitization technique can record the plant and its surrounding environment effectively and efficiently, and it can be applied to many ecological fields and studies. John Wiley and Sons Inc. 2018-05-02 /pmc/articles/PMC6010906/ /pubmed/29938101 http://dx.doi.org/10.1002/ece3.4126 Text en © 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Huang, Hongyu Zhang, Hao Chen, Chongcheng Tang, Liyu Three‐dimensional digitization of the arid land plant Haloxylon ammodendron using a consumer‐grade camera |
title | Three‐dimensional digitization of the arid land plant Haloxylon ammodendron using a consumer‐grade camera |
title_full | Three‐dimensional digitization of the arid land plant Haloxylon ammodendron using a consumer‐grade camera |
title_fullStr | Three‐dimensional digitization of the arid land plant Haloxylon ammodendron using a consumer‐grade camera |
title_full_unstemmed | Three‐dimensional digitization of the arid land plant Haloxylon ammodendron using a consumer‐grade camera |
title_short | Three‐dimensional digitization of the arid land plant Haloxylon ammodendron using a consumer‐grade camera |
title_sort | three‐dimensional digitization of the arid land plant haloxylon ammodendron using a consumer‐grade camera |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010906/ https://www.ncbi.nlm.nih.gov/pubmed/29938101 http://dx.doi.org/10.1002/ece3.4126 |
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