However, due to the abundant water vapor on the TP [11] and the year-round cloud cover over the sky, optical satellite data acquisition is limited, and cloud removal  
Figure 1: Locations of the TP and glacier study areas measured (the boundary of TP was from [[https://data.tpdc.ac.cn/zh-hans/data/0c84a954-435d-45f4-bfd2-d561f7c7](https://data.tpdc.ac.cn/zh-hans/data/0c84a954-435d-45f4-bfd2-d561f7c7) da2a]([https://data.tpdc.ac.cn/zh-hans/data/0c84a954-435d-45f4-bfd2-d561f7c7](https://data.tpdc.ac.cn/zh-hans/data/0c84a954-435d-45f4-bfd2-d561f7c7) da2a), accessed on 29 August 2024). algorithms ([PERSON] et al. resulted in faithful cloud-free images with almost no artifacts in training a hierarchical cloud removal network by devising a reliable cloudy image synthesis model, which considers the background surface color, misalignment of channel images, and blur in clouds [12]. [PERSON] et al. reduced the overall cloud coverage of the northern region of Chile (Pulido river basin) from 26.56% to 7.69% based on Moderate Resolution Imaging Spectroradiometer (MODIS) Snow Cover daily products, achieving an overall accuracy of 86.66% in snow mapping [13]. [PERSON] et al. used the MODIS daily Snow Cover Product (SCP) to remove clouds for the upper Bhagirathi basin in the western Himalayas, with an average overall accuracy of approximately 95% [14]) inevitably introduce errors. Microwave remote sensing provides a new method for monitoring glacier movement speed in the TP with its advantages including the following traits: all day, all weather, unaffected by clouds and rain, certain penetration ability, and deformation measurement accuracy reaching sub-millimeter level. However, the resolution of data obtained from radar satellite remote sensing is low, susceptible to interference from mixed pixels, and the revisiting period is long, making it difficult to meet the real-time monitoring requirements for glacier movement speed. The GB radar system can achieve real-time and dynamic monitoring of the glacier termini due to its sampling time reaching the sub-second level. Combining the theory of interference with GB radar signal processing, micro deformation can be inverted based on the phase difference between the two measurement results. [PERSON] et al. used the C-band GB Synthetic Aperture Radar (GBSAR) system to monitor the deformation of the Belvedere Glacier and established a Digital Elevation Model (DEM) [15]. [PERSON] et al. combined drone aerial photography data with GBSAR data to establish an accurate GBSAR geographic coding model based on a solution space search. They monitored the old observation platform landslide on the Hailuogou Glacier, achieving sub-pixel level geocoding accuracy and spatiotemporal analysis [16]. [PERSON] et al. demonstrated the unique ability of 94 GHz millimeter wave radar to obtain high-resolution measurements of glacier surfaces under reduced visibility conditions by combining with three-dimensional point clouds [17; 18; 19]. Moreover, GB radar system monitoring is also of great significance for research on iceberg collapse [20; 21; 22], glacial lake outburst floods (GLOFs) [23; 24], and daily melting and refreezing cycles [25]. This article first introduces the basic situation of Mount Qomolangma and its surrounding Rongbuk Glacier, as well as Mount Muztag Ata and its surrounding Yangbulake Glacier. Then, the composition and parameters of the independently built GB system are introduced, and the principle of radar time-series interferometry is derived. Subsequently, the monitoring results of the radar system on the glacier termini in two study areas in June 2023 are presented. At the same time, a comparative analysis was carried out in conjunction with the corresponding Sentinel-1 satellite radar data, which verified the effectiveness and progressiveness of time-series interferometry of the GB radar system in monitoring the speed of glacier terminal movement.