Evaluation of spectral features and regression methods for leaf area index estimation.

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Bibliographic Details
Title: Evaluation of spectral features and regression methods for leaf area index estimation.
Authors: Zhang, Yangyang1, Han, Xu1, Yang, Jian2, yangjian@cug.edu.cn
Source: European Journal of Remote Sensing; Dec2025, Vol. 58 Issue 1, p1-17, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190350830
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Evaluation of spectral features and regression methods for leaf area index estimation.
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  Data: <searchLink fieldCode="AU" term="%22Zhang%2C+Yangyang%22">Zhang, Yangyang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Han%2C+Xu%22">Han, Xu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yang%2C+Jian%22">Yang, Jian</searchLink><relatesTo>2</relatesTo>, <i>yangjian@cug.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Remote+Sensing%22">European Journal of Remote Sensing</searchLink>; Dec2025, Vol. 58 Issue 1, p1-17, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190350830
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/22797254.2025.2564880
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 1
    Titles:
      – TitleFull: Evaluation of spectral features and regression methods for leaf area index estimation.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Zhang, Yangyang
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            NameFull: Han, Xu
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            NameFull: Yang, Jian
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          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 58
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            – TitleFull: European Journal of Remote Sensing
              Type: main
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