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Measuring shallow-water bathymetric signal strength in lidar point attribute data using machine learning.

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Title: Measuring shallow-water bathymetric signal strength in lidar point attribute data using machine learning.
Authors: Lowell, Kim1, klowell@ccom.unh.edu, Calder, Brian1, Lyons, Anthony1
Source: International Journal of Geographical Information Science; Aug2021, Vol. 35 Issue 8, p1592-1610, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 151304046
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PubType: Academic Journal
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  Data: Measuring shallow-water bathymetric signal strength in lidar point attribute data using machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Lowell%2C+Kim%22">Lowell, Kim</searchLink><relatesTo>1</relatesTo>, <i>klowell@ccom.unh.edu</i><br /><searchLink fieldCode="AU" term="%22Calder%2C+Brian%22">Calder, Brian</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lyons%2C+Anthony%22">Lyons, Anthony</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>; Aug2021, Vol. 35 Issue 8, p1592-1610, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=151304046
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/13658816.2020.1867147
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 1592
    Titles:
      – TitleFull: Measuring shallow-water bathymetric signal strength in lidar point attribute data using machine learning.
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            NameFull: Lowell, Kim
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            NameFull: Calder, Brian
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            – D: 01
              M: 08
              Text: Aug2021
              Type: published
              Y: 2021
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              Value: 35
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              Value: 8
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            – TitleFull: International Journal of Geographical Information Science
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