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A transferable spatiotemporal deep learning framework integrating soil moisture dynamics for high-resolution cropland soil organic matter mapping across regions.

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Title: A transferable spatiotemporal deep learning framework integrating soil moisture dynamics for high-resolution cropland soil organic matter mapping across regions.
Authors: Luo, Chong1, luochong@iga.ac.cn, Geng, Jiale1,2,3, gengjialecym@163.com, Lu, Jun1,2,3, lujun111_lily@sina.com, Kong, Depiao1, kongdepiao20000426@163.com, Meng, Xiangtian1, mengxiangtian@iga.ac.cn, Liu, Huanjun1, huanjunliu@yeah.net
Source: Remote Sensing of Environment; May2026, Vol. 338, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192617497
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A transferable spatiotemporal deep learning framework integrating soil moisture dynamics for high-resolution cropland soil organic matter mapping across regions.
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  Data: <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="%22Geng%2C+Jiale%22">Geng, Jiale</searchLink><relatesTo>1,2,3</relatesTo>, <i>gengjialecym@163.com</i><br /><searchLink fieldCode="AU" term="%22Lu%2C+Jun%22">Lu, Jun</searchLink><relatesTo>1,2,3</relatesTo>, <i>lujun111_lily@sina.com</i><br /><searchLink fieldCode="AU" term="%22Kong%2C+Depiao%22">Kong, Depiao</searchLink><relatesTo>1</relatesTo>, <i>kongdepiao20000426@163.com</i><br /><searchLink fieldCode="AU" term="%22Meng%2C+Xiangtian%22">Meng, Xiangtian</searchLink><relatesTo>1</relatesTo>, <i>mengxiangtian@iga.ac.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>; May2026, Vol. 338, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192617497
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.rse.2026.115365
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: A transferable spatiotemporal deep learning framework integrating soil moisture dynamics for high-resolution cropland soil organic matter mapping across regions.
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            NameFull: Luo, Chong
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            NameFull: Geng, Jiale
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            NameFull: Lu, Jun
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            NameFull: Kong, Depiao
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            NameFull: Meng, Xiangtian
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            NameFull: Liu, Huanjun
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            – D: 15
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 338
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            – TitleFull: Remote Sensing of Environment
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