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Automating sandhill crane counts from nocturnal thermal aerial imagery using deep learning.

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Title: Automating sandhill crane counts from nocturnal thermal aerial imagery using deep learning.
Authors: Luz‐Ricca, Emilio1 (AUTHOR) emilio.luz.ricca@gmail.com, Landolt, Kyle2 (AUTHOR), Pickens, Bradley A.3 (AUTHOR), Koneff, Mark4 (AUTHOR)
Source: Remote Sensing in Ecology & Conservation. Apr2023, Vol. 9 Issue 2, p182-194. 13p.
Database: Environment Complete
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  Availability: 0
Header DbId: eih
DbLabel: Environment Complete
An: 163248128
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Automating sandhill crane counts from nocturnal thermal aerial imagery using deep learning.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing+in+Ecology+%26+Conservation%22">Remote Sensing in Ecology & Conservation</searchLink>. Apr2023, Vol. 9 Issue 2, p182-194. 13p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/rse2.301
    Languages:
      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 182
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      – TitleFull: Automating sandhill crane counts from nocturnal thermal aerial imagery using deep learning.
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            NameFull: Luz‐Ricca, Emilio
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            NameFull: Landolt, Kyle
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            NameFull: Pickens, Bradley A.
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              Text: Apr2023
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              Y: 2023
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            – TitleFull: Remote Sensing in Ecology & Conservation
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