In order to meet long-term air transportation needs, Hong Kong International Airport (HKIA) has been constructing the third runway system (3RS) through land reclamation projects since 2016. However, the third runway and taxiway, which were paved in September 2021, suffered from severe surface settlement. Therefore, we attempted to reveal the settlement pattern within the 3RS and analyze the factors contributing to this displacement. Employing the multi-temporal interferometric synthetic aperture radar (MT-InSAR) technique, we utilized PAZ, COSMO-SkyMed, and Sentinel-1 satellite images to extract ground displacements along the radar line of sight. The results show that, compared with COSMO-SkyMed and Sentinel-1 images, PAZ demonstrates superior performance in the deformation monitoring of the HKIA, with more deformation details and larger displacements. The maximum settlement rate derived by PAZ on the 3RS exceeds 110 mm/year. To ensure the reliability of the derived displacements along the LOS, we validated them through cross-validation, comparing the outcomes from different SAR data with data from GPS stations. In order to gain a detailed deformation information, we derived the vertical and horizontal (ground range direction) displacements by utilizing deformation measurements along the LOS of multiple SAR satellites and the geometric information, and the maximum values recorded for vertical and E-W displacements reached 88.31 mm/y and 41.91 mm/y, respectively. Furthermore, our investigation revealed that the significant local deformation observed on the taxiway and third runway was predominantly attributed to various factors including the creep of soft soil, consolidation of filling materials, characteristics of road surface materials, and distinct stages of construction.

雅鲁藏布江下游位于印度板块和欧亚板块碰撞的前缘地带，区域内新构造运动活跃，高山分布众多，属典型高山深切割区。由于独特的地质构造以及气候变化的影响，区域内崩塌、滑坡、泥石流等地质灾害频发。文章采用Sentinel-1影像以及ALOS/PALSAR-2影像通过多种时序InSAR技术和SAR偏移量技术联合的方式对区域内2014—2020年高位地质灾害进行了识别。文章研究结果表明：在研究区内共存在260处地质灾害形变区，且大多位于海拔较高的沟道与山峰；泽巴隆巴冰川沟中的岩崩形变体已经形成多条大型拉张裂缝，一旦发生崩落极有可能形成堰塞湖；受米林地震影响而复活的达波古滑坡后缘已经完全脱离，左右两侧裂缝完全贯通，滑坡一旦失稳会完全堵塞雅鲁藏布江。此研究提供了识别高山峡谷区高位地质灾害的SAR/InSAR技术方法，为类似的地质灾害识别提供了参考。

雅鲁藏布江下游位于印度板块和欧亚板块碰撞的前缘地带，区域内新构造运动活跃，高山分布众多，属典型高山深切割区。由于独特的地质构造以及气候变化的影响，区域内崩塌、滑坡、泥石流等地质灾害频发。文章采用Sentinel-1影像以及ALOS/PALSAR-2影像通过多种时序InSAR技术和SAR偏移量技术联合的方式对区域内2014—2020年高位地质灾害进行了识别。文章研究结果表明：在研究区内共存在260处地质灾害形变区，且大多位于海拔较高的沟道与山峰；泽巴隆巴冰川沟中的岩崩形变体已经形成多条大型拉张裂缝，一旦发生崩落极有可能形成堰塞湖；受米林地震影响而复活的达波古滑坡后缘已经完全脱离，左右两侧裂缝完全贯通，滑坡一旦失稳会完全堵塞雅鲁藏布江。此研究提供了识别高山峡谷区高位地质灾害的SAR/InSAR技术方法，为类似的地质灾害识别提供了参考。