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SOC content of global Mollisols at a 30 m spatial resolution from 1984 to 2021 generated by the novel ML-CNN prediction model.

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Title: SOC content of global Mollisols at a 30 m spatial resolution from 1984 to 2021 generated by the novel ML-CNN prediction model.
Authors: Meng, Xiangtian1,2, mengxiangtian@iga.ac.cn, Bao, Yilin3, baoyilin21@mails.ucas.ac.cn, Luo, Chong1, luochong@iga.ac.cn, Zhang, Xinle4, zhangxinle@jlau.edu.cn, Liu, Huanjun1, huanjunliu@yeah.net
Source: Remote Sensing of Environment; Jan2024, Vol. 300, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 174102551
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: SOC content of global Mollisols at a 30 m spatial resolution from 1984 to 2021 generated by the novel ML-CNN prediction model.
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  Data: <searchLink fieldCode="AU" term="%22Meng%2C+Xiangtian%22">Meng, Xiangtian</searchLink><relatesTo>1,2</relatesTo>, <i>mengxiangtian@iga.ac.cn</i><br /><searchLink fieldCode="AU" term="%22Bao%2C+Yilin%22">Bao, Yilin</searchLink><relatesTo>3</relatesTo>, <i>baoyilin21@mails.ucas.ac.cn</i><br /><searchLink fieldCode="AU" term="%22Luo%2C+Chong%22">Luo, Chong</searchLink><relatesTo>1</relatesTo>, <i>luochong@iga.ac.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Xinle%22">Zhang, Xinle</searchLink><relatesTo>4</relatesTo>, <i>zhangxinle@jlau.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Huanjun%22">Liu, Huanjun</searchLink><relatesTo>1</relatesTo>, <i>huanjunliu@yeah.net</i>
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing+of+Environment%22">Remote Sensing of Environment</searchLink>; Jan2024, Vol. 300, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=174102551
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.rse.2023.113911
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: SOC content of global Mollisols at a 30 m spatial resolution from 1984 to 2021 generated by the novel ML-CNN prediction model.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Meng, Xiangtian
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            NameFull: Bao, Yilin
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            NameFull: Luo, Chong
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            NameFull: Zhang, Xinle
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            NameFull: Liu, Huanjun
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          Dates:
            – D: 01
              M: 01
              Text: Jan2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 00344257
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              Value: 300
          Titles:
            – TitleFull: Remote Sensing of Environment
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