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    • Consistency analysis of interannual variations of multi-source forest biomass data

    • The issue of spatiotemporal inconsistency in global forest aboveground biomass products is prominent, with significant differences in the global carbon storage and carbon sink revealed by different products. Experts systematically evaluated multi-source forest aboveground biomass products from three dimensions: spatial consistency, interannual variation trend analysis, and ground validation, providing scientific basis for the optimization and fusion application of remote sensing biomass products in interannual variation estimation, and improving their reliability and applicability in carbon monitoring and ecological assessment.
    • Pages: 1-21(2026)   

      Received:18 July 2025

      Online First:12 March 2026

    • DOI: 10.11834/jrs.20265240     

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  • Wang Xiaohan,Li Jing,Liu Qinhuo,Guan Li,Liu Liangyun,Wu Wangzehao,Zhou Qiao,Zhao Hongyang,Zhang Hu,Dong Yadong,Zhao Jing,Gu Chenpeng. XXXX. Consistency analysis of interannual variations of multi-source forest biomass data. National Remote Sensing Bulletin, XX(XX):1-21 DOI: 10.11834/jrs.20265240.
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相关作者

SHAN Huilin 无锡学院 江苏省集成电路可靠性技术及检测系统工程研究中心;南京信息工程大学 电子与信息工程学院
WANG Xingtao 南京信息工程大学 电子与信息工程学院
LIU Wenxing 南京信息工程大学 电子与信息工程学院
MENG Xiangyuan 无锡学院 江苏省集成电路可靠性技术及检测系统工程研究中心
WANG Zhihao 无锡学院 江苏省集成电路可靠性技术及检测系统工程研究中心
ZHANG Yinsheng 无锡学院 江苏省集成电路可靠性技术及检测系统工程研究中心;南京信息工程大学 电子与信息工程学院
LI Ainong 中国科学院、水利部成都山地灾害与环境研究所
BIAN Jinhu 中国科学院、水利部成都山地灾害与环境研究所

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