Retrieval of high-precision precipitable water vapour maps using Sentinel-1A and Beidou satellite data

• Published in: International journal of remote sensing 2023-11, Vol.44 (22), p.7085-7105
• Main Authors: Guo, Qiuying, Yu, Miao, Li, Dewei, Huang, Shoukai, Xue, Xuelong, Sun, Yingjun
• Format: Article
• Language: English
• Subjects: BeiDou Navigation Satellite System; Beidou navigation system (BDS); Climate and weather; Cloud water; Coherence; Correlation coefficient; Correlation coefficients; Interferometric synthetic aperture radar; Meteorological research; Mountain regions; Mountainous areas; Navigation; Navigation systems; Non-differential PWV; Precipitable water; Retrieval; Retrieval of PWV; Root-mean-square errors; SAR (radar); Satellite data; Satellite navigation; Satellite navigation systems; Sentinel-1; Spatial resolution; StaMPS-InSAR; Synthetic aperture radar; Synthetic aperture radar interferometry; Water vapor; Water vapour; Weather forecasting
• ISSN: 0143-1161; 1366-5901
• DOI: 10.1080/01431161.2023.2282403

Precipitable water vapour (PWV) is a primary factor that affects climate and weather. The accurate retrieval of PWV is crucial for weather prediction and meteorological research. Interferometric Synthetic Aperture Radar (InSAR) has been rapidly developed in recent years and proven effective in PWV retrieval in the regions of good coherence. However, there are large areas of natural terrain where signals decoherence that limit the precision of PWV retrieval. Besides, due to the differential interference processing of InSAR data, the results of its retrieval are differential PWV (ΔPWV). In this study, the StaMPS-InSAR was used to overcome the problem of weak detection ability in low coherence regions. A series of 11 Sentinel-1A images were selected to retrieve space-continuous ΔPWV. Beidou Satellite Navigation System (BDS) can retrieve high-precision PWV. Hence, the BDS data was utilized to convert the InSAR-derived ΔPWV to PWV. Compared with the BDS-derived PWV, the root mean square error (RMSE) of the experimental results is 1.3 mm with a spatial resolution as fine as 20 m. The correlation coefficient between the deviations and Liquid Cloud Water is 0.65, indicating a positive correlation. We demonstrate the advantage of the proposed method for retrieving PWV in computational efficiency by comparing it with the SBAS-InSAR. With the increasing stack size of the SAR images, our method can reduce the taking time for processing. The proportion can reach 12.6% when the stack size of SAR images is 20. By the spatio-temporal analysis of the results, we found some characteristics of PWV in mountain areas especially. The results have certain reference value for the space-continuous PWV retrieval and the study of PWV spatio-temporal characteristics.