Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (6): 953-963.doi: 10.11947/j.AGCS.2022.20220168

• Photogrammetry and Remote Sensing • Previous Articles     Next Articles

A review of Antarctic ice velocity products and methods based on optical remote sensing satellite images

LI Rongxing1,2, LI Guojun1,2, FENG Tiantian1,2, SHEN Qiang3,4, QIAO Gang1,2, YE Zhen1, XIA Menglian1,2   

  1. 1. College Surveying & Geo-informatics, Tongji University, Shanghai 200092, China;
    2. Center for Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai 200092, China;
    3. Innovation Academy for Precision Measurement Science and Technology, Chinese Acadmemy of Sciences (CAS), Wuhan 430071, China;
    4. College of Earth and Planetary Sciences (CEPS), University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
  • Received:2022-03-03 Revised:2022-04-10 Published:2022-07-02
  • Supported by:
    The National Key Research and Development Program of China (No. 2017YFA0603100);The National Natural Science Foundation of China (No. 41730102);Polar Science Collaborative Innovation Platform Project of Chinese Arctic and Antarctic Administration (No. CXPT2020017)

Abstract: Ice velocity is a direct and essential indicator of the stability of Antarctic ice sheet in response to global climate change. It is also one of the crucial data to accurately estimate the contribution of the Antarctic ice sheet to global sea level rise. Optical remote sensing imagery is an important data source for large-scale extraction of Antarctic ice velocity because of the advantages of data acquisition in fine temporal and spatial resolution. In this paper, we review the existing methods of Antarctic ice velocity reconstruction by using optical images, introduce relevant software and tools, and summarize Antarctic ice velocity products generated based on optical remote sensing images from 1960s to present. Furthermore, we demonstrate applications of the ice velocity products in some typical areas, such as mass balance evaluation, long time series changes monitoring of ice shelves, etc. Finally, the advantages and future development trends of optical remote sensing images for Antarctic ice velocity reconstruction are summarized.

Key words: optical remote sensing imagery, Antarctica, ice velocity, image correlation, feature tracking

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