文京川 赵红莉 蒋云钟 陈德清 纪刚

摘要：針对卫星测高数据质量在湖库地区不稳定问题，提出一种基于数据质量评价、筛选提取水位的方法。使用Jason3卫星测高数据，选取数据质量不稳定的洪泽湖地区为例进行实验。结果表明，该方法在改善数据精度方面明显优于传统方法，提取的测高水位与实测水位间相关系数从传统方法的011提高到059，均方根误差也从2 m减少到05 m，使得Jason3数据用于湖库水位监测时具有较高的可信度。此外，对于那些数据质量不好的周期，提取的水位精度普遍不高，基于数据质量评价结果将它们舍去，可进一步提高了整体的监测精度，相关系数可提高到09，均方根误差减少到019 m，这对于为无资料湖库构建精确的库容曲线具有重要意义。

关键词：遥感监测；测高卫星；数据质量；水位变化 ；湖库

中图分类号：TP791文献标志码：A文章编号：16721683（2018）03019407

Research on the quality screening method for satellite altimetry data

——take Jason3 data and Hongze Lake as an example

WEN Jingchuan1，2，3，ZHAO Hongli2，JIANG Yunzhong2，CHEN Deqing4，JI Gang1，2，3

（1.Faculty of Geomatics of Lanzhou Jiaotong University，Lanzhou 730070，China；

2.China Institute of Water Resources and Hydropower Research，Beijing 100038，China；

3.Gansu Provincial Engineering Laboratory for National Geographic State Monitoring， Lanzhou 730070，China；

4. Information Center of the Ministry of Water Resources， Beijing 100053，China）

Abstract：This paper proposes a method based on data quality evaluation and extraction of water level to improve the steadiness of data quality of satellite altimetry in lakes and reservoirs area.We used Jason3 satellite altimetry data and performed a case study in Hongze Lake area where the altimetric data quality was unsteady.Results showed that the accuracy of this method was obviously better than that of the traditional methods.The correlation coefficient between the satellitederived water level and the gauged water level increased from 011 to 059，and the root mean square error was reduced from 2 m to 05 m，making the Jason3 data more reliable for water level monitoring of lakes and reservoirs.In addition，for those periods with poor data quality，since the water level accuracy is generally low，they can be discarded based on the results of data quality evaluation.This can further improve the overall monitoring accuracy.The correlation coefficient can be increased to 09，and the root mean square error was reduced to 019 m.This is of great significance to building a precise capacity curve for the ungauged lakes and reservoirs.

Key words：remote sensing monitoring；altimeter satellite；data quality；water level changes；lakes and reservoirs

及时获取湖泊、水库的水位、水量和水体分布变化，是水资源监测中的重要内容之一。以往主要是采用地面定点（水文站）定时观测的方式监测水位变化，地面监测方式需要配套大量基础设施，耗费大量人力物力，对于偏远地区无法大规模布点，并且日常监测效果还会受到水文站上报频次的影响。为满足日益精细化的水资源管理需求，迫切需要扩大水资源监测范围、提升监测标准，而仅靠地面监测手段无法满足对时效性、广泛性的要求[1]。卫星测高技术的出现和快速发展，为湖库水位监测提供了一种全新的方法[2]。……