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    • Large-scale sub-canopy topography estimation from TanDEM-X InSAR and ICESat-2 data using machine learning method

    • “In the field of digital elevation modeling, researchers have proposed a machine learning based method that combines anDEM-X InSAR, ICESat-2, and Landsat 8 data to effectively improve the accuracy of understory terrain estimation.”
    • Vol. 29, Issue 1, Pages: 191-202(2025)   

      Received：09 May 2023，

      Published：07 January 2025

    • DOI： 10.11834/jrs.20233152     

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  • Hu H C，Zhu J J，Fu H Q，Lopez-Sanchez J M， Gómez C， Zhang T and Liu K. 2025. Large-scale sub-canopy topography estimation from TanDEM-X InSAR and ICESat-2 data using machine learning method. National Remote Sensing Bulletin， 29（1）：191-202 DOI： 10.11834/jrs.20233152.
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Huacan Hu 中南大学地球科学与信息物理学院
Fu Haiqiang 中南大学地球科学与信息物理学院
Lopez-Sanchez Juan M. Institute for Computer Research, University of Alicante
Gómez Cristina iuFOR-EiFAB, University of Valladolid, Campus Duques de Soria;Department of Geography and Environment, School of Geoscience, University of Aberdeen
Zhang Tao 中南大学地球科学与信息物理学院
Liu Kui 中南大学地球科学与信息物理学院
LIU Zhiwei 中南大学 地球科学与信息物理学院
ZHAO Rong 中南林业科技大学 土木工程学院

相关机构

Institute for Computer Research, University of Alicante
iuFOR-EiFAB, University of Valladolid, Campus Duques de Soria
Department of Geography and Environment, School of Geoscience, University of Aberdeen
School of Civil Engineering, Central South University of Forestry and Technology
College of Science, Central South University of Forestry and Technology
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