Estimating work and home population using lidar-derived building volumes.

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Title: Estimating work and home population using lidar-derived building volumes.
Authors: Zhao, Yun1, Ovando-Montejo, Gustavo A.1, Frazier, Amy E.1, amy.e.frazier@okstate.edu, Mathews, Adam J.1, Flynn, K. Colton1, Ellis, Emily A.1
Source: International Journal of Remote Sensing; Feb2017, Vol. 38 Issue 4, p1180-1196, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 120895368
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Estimating work and home population using lidar-derived building volumes.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=120895368
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/01431161.2017.1280634
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1180
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      – TitleFull: Estimating work and home population using lidar-derived building volumes.
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          Name:
            NameFull: Zhao, Yun
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            NameFull: Ovando-Montejo, Gustavo A.
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            NameFull: Frazier, Amy E.
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            NameFull: Mathews, Adam J.
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            NameFull: Flynn, K. Colton
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            NameFull: Ellis, Emily A.
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            – D: 15
              M: 02
              Text: Feb2017
              Type: published
              Y: 2017
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              Value: 38
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            – TitleFull: International Journal of Remote Sensing
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