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中巴经济走廊巴基斯坦境内洪扎河谷（Hunza Valley）段地形高差巨大、地质环境复杂、滑坡灾害多发，对河谷内村镇威胁极大，也严重制约中巴经济走廊安全建设与运行。为了加深对Hunza河谷滑坡灾害的认识，非常有必要进行滑坡识别编目和发育特征研究。本研究基于升、降轨获取的87景哨兵一号（Sentinel-1）数据，利用SBAS-InSAR技术获取了洪扎河谷地表形变，计算了地表斜坡向形变速率。并综合利用光学遥感影像解译和野外实地调查验证，成功识别了洪扎河谷53处潜在滑坡，并对滑坡识别效果、典型滑坡变形进行了分析。在此基础上，以11个地质环境因素作为影响滑坡发育的因子，分析了滑坡分布发育特征。结果表明，升轨和降轨数据监测到研究区内斜坡向最大形变速率分别为?311 mm /a和 ?490 mm /a，洪扎河谷区不稳定形变阈值为?20 mm/a。识别的潜在滑坡主要集中在河流两岸、公路上下边坡；潜在滑坡主要分布在风化堆积层以及千枚岩、板岩等变质岩区；高差200 - 1000 m、坡度30 - 40°和坡向南、南西向为滑坡发育的优势地形条件；斜坡地表裸露、植被稀疏地段物源充足，滑坡较为发育。研究结果可用于巴基斯坦洪扎河谷防灾减灾工作，保障中巴经济走廊畅通运营，为具有毁路与堵江风险的滑坡重点监测和评价研究提供科学参考和数据支持。
Objective: The Hunza Valley along the China-Pakistan Economic Corridor in Northern Pakistan has a high relief and harsh geo-environment, and villages and towns are prone to the development of geo-hazards. There are high risks of geo-hazards to the construction and operation of the China-Pakistan Economic Corridor. In order to enhance the understanding of the landslide hazards in Hunza valley, it is significant to acquire the landslide inventory and analyze landslides development attributions. Method: This study applied 45 images and 42 images of the ascending and descending sentinel-1A datasets, respectively, to monitor the surface deformation based on SBAS-InSAR. Furthermore, the deformation information along the slope direction were estimated. Based on the displacement rates derived from SAR data, we conducted the visual interpretation of optical remote sensing images and in-situ surveys and validation. Result: Consequently, 53 potential landslides were detected and delineated. The effect of landslide identification in this study and the deformation features of typical landslides were analyzed. Eleven factors related to geomorphology, geology, hydrology, and vegetation were used in the analysis of landslide development. The results show that the maximum displacement velocity of -311 mm/a and -490 mm/a along the slope were detected with the ascending and descending datasets respectively. An annual deformation velocity of 20 mm/a was set as thresholds for the detection and mapping of potential landslides in the area of Hunza River valley. Conclusion: The validated potential landslides are distributed on the slopes on both sides of the Hunza river, and sometimes are on the upper and lower slopes of the road. These active landslides are mostly located in the area within metamorphic rocks such as Phyllite and Slate. Landslides prefer to form and experience deformation in the topography where the elevation relief is within 200 – 1000 m, the slope is within 30 – 40 degrees, and the aspect is within south and southwest. Due to the high exposure of slope surface and sparse vegetation, weathered and fragmented slope provides enough provenance and materials for the development of landslides. The outcomes and results potentially facilitate hazards management and risk reduction in the Hunza Valley and thus the uninterrupted operation of the China-Pakistan Economic Corridor, and can provide scientific references and data support for the monitoring and assessments of the major landslide disasters that destroy roads and block rivers leading to secondary disaster events.