Acta Geodaetica et Cartographica Sinica ›› 2021, Vol. 50 ›› Issue (1): 12-17.doi: 10.11947/j.AGCS.2021.20200211

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Accuracy assessment method of geoid based on GNSS-leveling and gravity field error characteristics

ZHANG Chuanyin1, MA Xu2, ZHANG Lei2, DING Jian1   

  1. 1. Chinese Academy of Surveying and Mapping, Beijing 100036, China;
    2. National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing 100036, China
  • Received:2020-05-29 Revised:2020-10-12 Published:2021-01-15
  • Supported by:
    The National Key Research and Development Program of China (No. 2020YFB0505700)

Abstract: The lack of an effective accuracy assessment method of geoid is a key problem in the modernization of height datum and its application. In this paper, according to the error characteristics of GNSS-leveling height anomaly and gravity field in frequency domain, the technical requirements for the fusion of GNSS-leveling and gravity height anomaly are studied. Furthermore, a method of error expression and accuracy evaluation of geoid is proposed. Through the example test and analysis, the main conclusions are as follows: ①The accuracy of the fused height anomaly should be expressed by the error curve of height anomaly difference varying with the distance. ②For accuracy assessment of quasigeoid, two error indicators and two error curves are recommended, namely, the error of gravity height anomaly difference, the internal error of the fused height anomaly, the error curve of the fused height anomaly difference and the error curve of GNSS-levelling height anomaly difference. ③When the distance between two terrestrial points is close to or less than the average distance between GNSS leveling points, GNSS-levelling height anomaly plays a major role in the contribution of the fused height anomaly. ④The accuracy of the fused height anomaly in large scale is mainly controlled by gravity height anomaly.

Key words: GNSS leveling, terrestrial height anomaly, error characteristics, accuracy assessment

CLC Number: