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Improving vegetation spatial distribution mapping in arid and on coastal dune systems using GPR in Tottori Prefecture (Japan).

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Title: Improving vegetation spatial distribution mapping in arid and on coastal dune systems using GPR in Tottori Prefecture (Japan).
Authors: Gomez, Christopher, Jiaqi Liu, Jing Wu, Persendt, Frans, Bradak, Balazs, Saleh, Yousefi, Hadmoko, Danang Sri
Source: Acta Universitatis Carolinae Geographica; 2023, Vol. 58 Issue 2, p238-249, 12p
Subject Terms: DESERTIFICATION, COASTAL mapping, SAND dunes, LONG-Term Evolution (Telecommunications), REMOTE sensing, GROUND penetrating radar
Abstract: In this article, desertification and dune progression over vegetation was quantified using remote sensing data. However, vegetation buried under sand blowout could not be counted using this method. Therefore, to estimate the extent of buried vegetation, a GPR campaign was conducted over the coastal sand-dune of Tottori Prefecture (Japan) in combination with a high-resolution topographic UAV-based survey of the topography. The results show that buried vegetation exists underneath sand-blowout, especially near the dune ridges, and can extend from 20 to 30 meters further than the estimate based on airborne remote sensing. Furthermore, the presence of palaeo-vegetation in palaeodune layers also provides the information on the long-term evolution of sand dunes, which can be used to reconstruct Quaternary coastal environments. [ABSTRACT FROM AUTHOR]
Copyright of Acta Universitatis Carolinae Geographica is the property of Charles University Prague, Karolinum Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
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  Data: Improving vegetation spatial distribution mapping in arid and on coastal dune systems using GPR in Tottori Prefecture (Japan).
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  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gomez%2C+Christopher%22">Gomez, Christopher</searchLink><br /><searchLink fieldCode="AR" term="%22Jiaqi+Liu%22">Jiaqi Liu</searchLink><br /><searchLink fieldCode="AR" term="%22Jing+Wu%22">Jing Wu</searchLink><br /><searchLink fieldCode="AR" term="%22Persendt%2C+Frans%22">Persendt, Frans</searchLink><br /><searchLink fieldCode="AR" term="%22Bradak%2C+Balazs%22">Bradak, Balazs</searchLink><br /><searchLink fieldCode="AR" term="%22Saleh%2C+Yousefi%22">Saleh, Yousefi</searchLink><br /><searchLink fieldCode="AR" term="%22Hadmoko%2C+Danang+Sri%22">Hadmoko, Danang Sri</searchLink>
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  Data: Acta Universitatis Carolinae Geographica; 2023, Vol. 58 Issue 2, p238-249, 12p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22DESERTIFICATION%22">DESERTIFICATION</searchLink><br /><searchLink fieldCode="DE" term="%22COASTAL+mapping%22">COASTAL mapping</searchLink><br /><searchLink fieldCode="DE" term="%22SAND+dunes%22">SAND dunes</searchLink><br /><searchLink fieldCode="DE" term="%22LONG-Term+Evolution+%28Telecommunications%29%22">LONG-Term Evolution (Telecommunications)</searchLink><br /><searchLink fieldCode="DE" term="%22REMOTE+sensing%22">REMOTE sensing</searchLink><br /><searchLink fieldCode="DE" term="%22GROUND+penetrating+radar%22">GROUND penetrating radar</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this article, desertification and dune progression over vegetation was quantified using remote sensing data. However, vegetation buried under sand blowout could not be counted using this method. Therefore, to estimate the extent of buried vegetation, a GPR campaign was conducted over the coastal sand-dune of Tottori Prefecture (Japan) in combination with a high-resolution topographic UAV-based survey of the topography. The results show that buried vegetation exists underneath sand-blowout, especially near the dune ridges, and can extend from 20 to 30 meters further than the estimate based on airborne remote sensing. Furthermore, the presence of palaeo-vegetation in palaeodune layers also provides the information on the long-term evolution of sand dunes, which can be used to reconstruct Quaternary coastal environments. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Acta Universitatis Carolinae Geographica is the property of Charles University Prague, Karolinum Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.14712/23361980.2023.18
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 238
    Subjects:
      – SubjectFull: DESERTIFICATION
        Type: general
      – SubjectFull: COASTAL mapping
        Type: general
      – SubjectFull: SAND dunes
        Type: general
      – SubjectFull: LONG-Term Evolution (Telecommunications)
        Type: general
      – SubjectFull: REMOTE sensing
        Type: general
      – SubjectFull: GROUND penetrating radar
        Type: general
    Titles:
      – TitleFull: Improving vegetation spatial distribution mapping in arid and on coastal dune systems using GPR in Tottori Prefecture (Japan).
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gomez, Christopher
      – PersonEntity:
          Name:
            NameFull: Jiaqi Liu
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            NameFull: Jing Wu
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            NameFull: Persendt, Frans
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            NameFull: Bradak, Balazs
      – PersonEntity:
          Name:
            NameFull: Saleh, Yousefi
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            NameFull: Hadmoko, Danang Sri
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          Dates:
            – D: 01
              M: 12
              Text: 2023
              Type: published
              Y: 2023
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              Value: 03005402
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              Value: 58
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Acta Universitatis Carolinae Geographica
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