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地学领域高质量科技期刊分级T2区（2023）

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Volume 43 Issue 2
Mar.  2024
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Article Contents
Article Navigation >  Bulletin of Geological Science and Technology  > 2024  >  43(2): 370-385
XU Wei, YANG Defang, CHEN Lihao, LUO Kaishu, ZHANG Shengpeng, ZHANG Yanze, LI Long, CHEN Gang. Fusion processing of multisource remote sensing images for extracting characteristic information from the Geladandong Snow Mountain area[J]. Bulletin of Geological Science and Technology, 2024, 43(2): 370-385. doi: 10.19509/j.cnki.dzkq.tb20220545
Citation: XU Wei, YANG Defang, CHEN Lihao, LUO Kaishu, ZHANG Shengpeng, ZHANG Yanze, LI Long, CHEN Gang. Fusion processing of multisource remote sensing images for extracting characteristic information from the Geladandong Snow Mountain area[J]. Bulletin of Geological Science and Technology, 2024, 43(2): 370-385. doi: 10.19509/j.cnki.dzkq.tb20220545
shu

Fusion processing of multisource remote sensing images for extracting characteristic information from the Geladandong Snow Mountain area

doi: 10.19509/j.cnki.dzkq.tb20220545
  • 1.

    Key Laboratory of Geological Survey and Evaluation, Ministry of Education, China University of Geosciences(Wuhan), Wuhan 430074, China

  • 2.

    Qinghai Remote Sensing Center for Natural Resources, Xining 810000, China

  • 3.

    School of Land Science and Geomatics, China University of Geosciences(Beijing), Beijing 100083, China

  • 4.

    Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China

  • 5.

    Qinghai Basic Surveying and Mapping Institute, Xining 810000, China

More Information
  • Author Bio:

    XU Wei, E-mail: CUGxuwei@cug.edu.cn

  • Corresponding author: CHEN Gang, E-mail: ddwhcg@cug.edu.cn
  • Received Date: 28 Sep 2022
  • Accepted Date: 15 Nov 2022
  • Rev Recd Date: 09 Nov 2022
    Abstract
  • Objective

    In July 2022(Beijing time), the glacier survey group and mountaineering group of the China University of Geosciences (Wuhan) performed the "Second University Students' Scientific Expedition to the Yangtze River" in the Geladandong Snow Mountain area.

    Methods

    To analyse the spatial and temporal characteristics of glaciers in this region, scientific research data were combined with optical remote sensing image interpretation, InSAR deformation information extraction, LiDAR altimetry measurements, and high-precision geodetic survey data to conduct multisource remote sensing image fusion processing research. Aerial triangulation encryption, frequency domain image matching, the waveband ratio method, and visual interpretation were used to extract DOM, DSM, glacier area and number distribution information from high-resolution satellite GF1, GF6, GF7, ZY3, and Landsat 7 remote sensing images of Geladandong Snow Mountain and typical glaciers.Sentinel-1A and ICESat-2 images were used, supported by the cross-correlation offset tracking method in the SAR image space domain, to extract glacier surface velocity and elevation changes, respectively. The 3D spatial coordinates and elevation outliers of all the control points were calculated for the BDS CORS station in Qinghai Province using the Gamit/Globk double difference ionospheric combination model, real-time extended (RTX), and real-time kinematic (RTK) techniques.

    Results

    The results revealed 512 glaciers in the Geladandong Snow Mountain area, with an average annual growth rate of 3.12%, an area of 1 111.96 km2, and an average annual retreat rate of 0.63%.The average daily maximum velocity of the Jianggen (gu) Diru glacier is 0.25 cm/d, and the average annual maximum velocity is 91.25 cm/a. The maximum retreat value, accumulation value and annual change rate of Jianggen (gu) Diru glacier on the south side and north side are -74.63 m, 38.44 m, -5.29 m/a to 3.09 m/a, -39.17 m, 35.74 m, -3.02 m/a to 2.85 m/a, respectively. The precision of the regional quasigeoid refinement model and the errors at all control sites both attained mm levels.

    Conclusion

    The aforementioned findings can provide data support for subsequent research on glaciers in this region.

     

    • The authors declare that no competing interests exist.
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