Remote sensing characterization of benthic habitats and submerged vegetation biomass in Los Roques Archipelago National Park, Venezuela.

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Title: Remote sensing characterization of benthic habitats and submerged vegetation biomass in Los Roques Archipelago National Park, Venezuela.
Authors: Schweizer, D.1 (AUTHOR), Armstrong, R. A.2 (AUTHOR), Posada, J.3 (AUTHOR)
Source: International Journal of Remote Sensing. 6/20/2005, Vol. 26 Issue 12, p2657-2667. 11p. 6 Charts, 3 Maps.
Subjects: Remote sensing, Pastures, Habitats, Meadows, Multivariate analysis
Geographic Terms: Venezuela
Abstract: Remote sensing is a useful tool for characterizing submerged aquatic vegetation and other benthic habitats in shallow water areas with clear water transparency. In the present study, the visible bands of the Thematic Mapper (TM) sensor aboard Landsat 7 satellite were used in a supervised classification of benthic habitats and for the assessment of submerged vegetation biomass in Los Roques Archipelago National Park, Venezuela, Initially, the TM visible bands were log-transformed and linearly combined to reduce the depth-dependent variance in the bottom reflectance signal. The supervised classification had an overall accuracy of 74%. Eight bottom types could be spectrally separated: sand, dispersed communities over sand (shallow and deep), dense seagrass, dispersed seagrass meadows over sand, reef communities, mixed vegetation over muddy bottom, and lagoons. Regression analyses were performed between the depth-invariant band combinations and field samples of vegetation biomass. The regression using the TM band 2 and 3 combination accounted for 64% of the variability of submerged vegetation biomass. According to these estimates, seagrass meadows with biomass between 64-96 gm-2 and 96-128 gm-2 predominate in the Los Roques Archipelago National Park. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Remote Sensing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. 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.)
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DbLabel: Engineering Source
An: 17998340
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  Label: Title
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  Data: Remote sensing characterization of benthic habitats and submerged vegetation biomass in Los Roques Archipelago National Park, Venezuela.
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  Data: <searchLink fieldCode="AR" term="%22Schweizer%2C+D%2E%22">Schweizer, D.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Armstrong%2C+R%2E+A%2E%22">Armstrong, R. A.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Posada%2C+J%2E%22">Posada, J.</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Remote+Sensing%22">International Journal of Remote Sensing</searchLink>. 6/20/2005, Vol. 26 Issue 12, p2657-2667. 11p. 6 Charts, 3 Maps.
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  Data: <searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Pastures%22">Pastures</searchLink><br /><searchLink fieldCode="DE" term="%22Habitats%22">Habitats</searchLink><br /><searchLink fieldCode="DE" term="%22Meadows%22">Meadows</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Venezuela%22">Venezuela</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Remote sensing is a useful tool for characterizing submerged aquatic vegetation and other benthic habitats in shallow water areas with clear water transparency. In the present study, the visible bands of the Thematic Mapper (TM) sensor aboard Landsat 7 satellite were used in a supervised classification of benthic habitats and for the assessment of submerged vegetation biomass in Los Roques Archipelago National Park, Venezuela, Initially, the TM visible bands were log-transformed and linearly combined to reduce the depth-dependent variance in the bottom reflectance signal. The supervised classification had an overall accuracy of 74%. Eight bottom types could be spectrally separated: sand, dispersed communities over sand (shallow and deep), dense seagrass, dispersed seagrass meadows over sand, reef communities, mixed vegetation over muddy bottom, and lagoons. Regression analyses were performed between the depth-invariant band combinations and field samples of vegetation biomass. The regression using the TM band 2 and 3 combination accounted for 64% of the variability of submerged vegetation biomass. According to these estimates, seagrass meadows with biomass between 64-96 gm-2 and 96-128 gm-2 predominate in the Los Roques Archipelago National Park. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Remote Sensing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. 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: 10.1080/01431160500104111
    Languages:
      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 2657
    Subjects:
      – SubjectFull: Remote sensing
        Type: general
      – SubjectFull: Pastures
        Type: general
      – SubjectFull: Habitats
        Type: general
      – SubjectFull: Meadows
        Type: general
      – SubjectFull: Multivariate analysis
        Type: general
      – SubjectFull: Venezuela
        Type: general
    Titles:
      – TitleFull: Remote sensing characterization of benthic habitats and submerged vegetation biomass in Los Roques Archipelago National Park, Venezuela.
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          Name:
            NameFull: Schweizer, D.
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            NameFull: Armstrong, R. A.
      – PersonEntity:
          Name:
            NameFull: Posada, J.
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            – D: 20
              M: 06
              Text: 6/20/2005
              Type: published
              Y: 2005
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              Value: 26
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              Value: 12
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            – TitleFull: International Journal of Remote Sensing
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