Advanced Photogrammetry to Assess Lichen Colonization in the Hyper-Arid Namib Desert

The hyper-arid central region of the Namib Desert is characterized by quartz desert pavement terrain that is devoid of vascular plant covers. In this extreme habitat the only discernible surface covers are epilithic lichens that colonize exposed surfaces of quartz rocks. These lichens are highly sus...

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Main Authors: Graham Hinchliffe, Barbara Bollard-Breen, Don A. Cowan, Ashray Doshi, Len N. Gillman, Gillian Maggs-Kolling, Asuncion de Los Rios, Stephen B. Pointing
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-10-01
Series:Frontiers in Microbiology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fmicb.2017.02083/full
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author Graham Hinchliffe
Barbara Bollard-Breen
Don A. Cowan
Ashray Doshi
Len N. Gillman
Gillian Maggs-Kolling
Asuncion de Los Rios
Stephen B. Pointing
author_facet Graham Hinchliffe
Barbara Bollard-Breen
Don A. Cowan
Ashray Doshi
Len N. Gillman
Gillian Maggs-Kolling
Asuncion de Los Rios
Stephen B. Pointing
author_sort Graham Hinchliffe
collection DOAJ
description The hyper-arid central region of the Namib Desert is characterized by quartz desert pavement terrain that is devoid of vascular plant covers. In this extreme habitat the only discernible surface covers are epilithic lichens that colonize exposed surfaces of quartz rocks. These lichens are highly susceptible to disturbance and so field surveys have been limited due to concerns about disturbing this unusual desert feature. Here we present findings that illustrate how non-destructive surveys based upon advanced photogrammetry techniques can yield meaningful and novel scientific data on these lichens. We combined ‘structure from motion analysis,’ computer vision and GIS to create 3-dimensional point clouds from two-dimensional imagery. The data were robust in its application to estimating absolute lichen cover. An orange Stellarangia spp. assemblage had coverage of 22.8% of available substrate, whilst for a black Xanthoparmelia spp. assemblage coverage was markedly lower at 0.6% of available substrate. Hyperspectral signatures for both lichens were distinct in the near-infra red range indicating that Xanthoparmelia spp. was likely under relatively more moisture stress than Stellarangia spp. at the time of sampling, and we postulate that albedo effects may have contributed to this in the black lichen. Further transformation of the data revealed a colonization preference for west-facing quartz surfaces and this coincides with prevailing winds for marine fog that is the major source of moisture in this system. Furthermore, a three-dimensional ‘fly through’ of the lichen habitat was created to illustrate how the application of computer vision in microbiology has further potential as a research and education tool. We discuss how advanced photogrammetry could be applied in astrobiology using autonomous rovers to add quantitative ecological data for visible surface colonization on the surface of Mars.
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spelling doaj.art-71ba0d14e2094451819eff0d1e8f00872022-12-22T00:17:07ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2017-10-01810.3389/fmicb.2017.02083298291Advanced Photogrammetry to Assess Lichen Colonization in the Hyper-Arid Namib DesertGraham Hinchliffe0Barbara Bollard-Breen1Don A. Cowan2Ashray Doshi3Len N. Gillman4Gillian Maggs-Kolling5Asuncion de Los Rios6Stephen B. Pointing7Institute for Applied Ecology New Zealand, School of Science, Auckland University of Technology, Auckland, New ZealandInstitute for Applied Ecology New Zealand, School of Science, Auckland University of Technology, Auckland, New ZealandThe Genomics Research Institute, University of Pretoria, Pretoria, South AfricaInstitute for Applied Ecology New Zealand, School of Science, Auckland University of Technology, Auckland, New ZealandInstitute for Applied Ecology New Zealand, School of Science, Auckland University of Technology, Auckland, New ZealandGobabeb Research and Training Centre, Gobabeb, NamibiaDepartamento de Biogeoquímica y Ecología Microbiana, Museo Nacional de Ciencias Naturales, Madrid, SpainDivision of Science, Yale-NUS College, National University of Singapore, Singapore, SingaporeThe hyper-arid central region of the Namib Desert is characterized by quartz desert pavement terrain that is devoid of vascular plant covers. In this extreme habitat the only discernible surface covers are epilithic lichens that colonize exposed surfaces of quartz rocks. These lichens are highly susceptible to disturbance and so field surveys have been limited due to concerns about disturbing this unusual desert feature. Here we present findings that illustrate how non-destructive surveys based upon advanced photogrammetry techniques can yield meaningful and novel scientific data on these lichens. We combined ‘structure from motion analysis,’ computer vision and GIS to create 3-dimensional point clouds from two-dimensional imagery. The data were robust in its application to estimating absolute lichen cover. An orange Stellarangia spp. assemblage had coverage of 22.8% of available substrate, whilst for a black Xanthoparmelia spp. assemblage coverage was markedly lower at 0.6% of available substrate. Hyperspectral signatures for both lichens were distinct in the near-infra red range indicating that Xanthoparmelia spp. was likely under relatively more moisture stress than Stellarangia spp. at the time of sampling, and we postulate that albedo effects may have contributed to this in the black lichen. Further transformation of the data revealed a colonization preference for west-facing quartz surfaces and this coincides with prevailing winds for marine fog that is the major source of moisture in this system. Furthermore, a three-dimensional ‘fly through’ of the lichen habitat was created to illustrate how the application of computer vision in microbiology has further potential as a research and education tool. We discuss how advanced photogrammetry could be applied in astrobiology using autonomous rovers to add quantitative ecological data for visible surface colonization on the surface of Mars.http://journal.frontiersin.org/article/10.3389/fmicb.2017.02083/fullastrobiologycomputer visiondesertGISlichenmicrobial ecology
spellingShingle Graham Hinchliffe
Barbara Bollard-Breen
Don A. Cowan
Ashray Doshi
Len N. Gillman
Gillian Maggs-Kolling
Asuncion de Los Rios
Stephen B. Pointing
Advanced Photogrammetry to Assess Lichen Colonization in the Hyper-Arid Namib Desert
Frontiers in Microbiology
astrobiology
computer vision
desert
GIS
lichen
microbial ecology
title Advanced Photogrammetry to Assess Lichen Colonization in the Hyper-Arid Namib Desert
title_full Advanced Photogrammetry to Assess Lichen Colonization in the Hyper-Arid Namib Desert
title_fullStr Advanced Photogrammetry to Assess Lichen Colonization in the Hyper-Arid Namib Desert
title_full_unstemmed Advanced Photogrammetry to Assess Lichen Colonization in the Hyper-Arid Namib Desert
title_short Advanced Photogrammetry to Assess Lichen Colonization in the Hyper-Arid Namib Desert
title_sort advanced photogrammetry to assess lichen colonization in the hyper arid namib desert
topic astrobiology
computer vision
desert
GIS
lichen
microbial ecology
url http://journal.frontiersin.org/article/10.3389/fmicb.2017.02083/full
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