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    • Review of the detection and attribution of multi-type forest disturbances using an ensemble of spatio-temporal-spectral information from remote sensing images

    • Vol. 28, Issue 3, Pages: 558-575(2024)   

      Published: 07 March 2024

    • DOI: 10.11834/jrs.20232211     

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  • Wu L, Liu X N, Liu M L, Zhang T W, Yang B W and Xu Y Q. 2024. Review of the detection and attribution of multi-type forest disturbances using an ensemble of spatio-temporal-spectral information from remote sensing images. National Remote Sensing Bulletin, 28(3):558-575 DOI: 10.11834/jrs.20232211.
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School of Remote Sensing,Nanjing University of Information Science & Technology
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
International Institute for Earth System Science, Nanjing University
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