中国沙漠 ›› 2020, Vol. 40 ›› Issue (3): 151-158.DOI: 10.7522/j.issn.1000-694X.2020.00018

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邵梅1,2, 罗万银1, 车雪华1,2   

  1. 1. 中国科学院西北生态环境资源研究院, 沙漠与沙漠化重点实验室, 甘肃 兰州 730000;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2019-12-23 修回日期:2020-02-19 出版日期:2020-05-20 发布日期:2020-06-09
  • 通讯作者: 罗万银(
  • 作者简介:邵梅(1995-),女,山东济南人,硕士研究生,主要研究方向为风沙地貌。
  • 基金资助:

Preliminary application and accuracy assessment of COSI-Corr in the study of aeolian geomorphology

Shao Mei1,2, Luo Wanyin1, Che Xuehua1,2   

  1. 1. Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-12-23 Revised:2020-02-19 Online:2020-05-20 Published:2020-06-09

摘要: 沙丘移动与形态监测是风沙地貌研究的重要内容,传统的测量方法对大范围的风沙地貌进行动态监测存在很大的困难。光学影像配准与关联(Co-registration of Optically Sensed Images and Correlation,COSI-Corr)技术的出现为区域风沙地貌的动态演化与监测研究提供了良好契机。讨论了COSI-Corr技术在沙丘移动和形态监测中的优势和存在的主要问题,通过无人机野外地面实测结果检验了COSI-Corr的测量精度。结果表明:沙丘背风坡底缘COSI-Corr测量精度最高,月测量误差0.01~0.53 m,达到影像分辨率的1/30像元;在沙丘背风坡底缘,COSI-Corr测量精度与沙丘底面积呈线性关系,底面积越大,COSI-Corr测量误差越大;个别沙丘脊线部位出现极大异常点,与沙丘脊线部位的光噪影响有关。COSI-Corr技术在风沙地貌监测中尚属起步阶段,一些具体的问题还需要我们在实践中不断的去检验和改进,但它确实极大提高了野外风沙地貌动态监测的效率,为研究大尺度范围内风沙地貌的时空动态演化过程提供了可能,在未来的风沙地貌研究中将具有广阔的应用前景。

关键词: 光学影像配准与关联(COSI-Corr), 区域风沙地貌, 形态监测, 应用前景

Abstract: Monitoring dune migration and morphologic change plays an important part of aeolian research. However, traditional measurement methods have great difficulties in the monitoring of a wide range of aeolian geometrodynamic processes because of the technical limiting and harsh environment, which had restricted the regional aeolian geomorphology research progress in a long run. The emergence of Co-registration of Optically Sensed Images and Correlation provides a good solution for the study of monitoring regional dune migration. In this paper, we discussed the advantages and some key issues of COSI-Corr technology during the dune migration monitoring. Its measurement precision and accuracy were assessed using the drone field ground-control measurement results. It revealed that: The higher measurement accuracy of the COSI-Corr occurred at the bottom edge of the leeward slope of the dune, reaching the 1/30 pix of the image pixel. There is a liner function between the measurement accuracy of COSI-Corr and the basal area of dune, the larger the basal area of dune, the higher the measuring error of COSI-Corr. The abnormal values at the ridge of sand dunes may be caused by the light reflecting which enhanced the noise during the data processing. Even though, COSI-Corr is still in its preliminary usage in aeolian geomorphology, it really improved the efficiency of the regional dune morphodynamic monitoring, and especially provides a possibility for the studying of dune migration and evolution process in those rural area where ground control measurement cannot carry out. Some specific issues also require us to constantly test and improve its measuring precision in future practice using.

Key words: Co-Registration of Optically Sensed Images and Correlation (COSI-Corr), regional aeolian geomorphology, morphodynamical monitoring, application prospect