中文摘要：

对大面积自然山区进行高精度的滑坡灾害监测一直是我国及其它地质灾害频发国家的一个重要课题，尚未得到很好解决。D-INSAR技术是近年来微波遥感发展的一个重要方向，理论上可以以厘米甚至更高的精度对连续大面积的微小地面活动进行监测，被认为是极具应用前景的滑坡灾害监测技术。为此以应用D-INSAR技术对大范围的自然滑坡进行监测和预警为目的，详细地推导了D—INSAR技术监测形变的原理公式并介绍了方法和数据处理流程，在全面回顾该技术在国内外滑坡监测中的应用现状和实例的基础上，分析了D-INSAR技术在滑坡监测中的优势及问题点，并结合最新技术进展提出了解决方案，认为应该综合利用先进地球探测及数字处理技术与D-INSAR技术相结合来克服D-INSAR技术中的问题点。具体介绍了永久散射体（PS）技术、小基线子集（SBAS）技术、GPS技术及基于地面的LISA技术等，并对这几种技术与D-INSAR技术的结合进行了探讨，使其达到对滑坡更有效的监测。

英文摘要：

Monitoring natural landslide hazards in a wide mountainous area has been a worldwide problem for a long time. Differential Synthetic Aperture Radar Interferometry （D-INSAR） technique, which is a main profile of satellite SAR application, has been an important developmental direction of microwave remote sensing in recent years. Although the D-INSAR technique is still under development and there are several bottlenecks that need to be solved; however, because it has an ability to theoretically measure a very small movement of the ground at a centimetre level for a continuous large areas, this technique can be considered as a potentially ideal tool for monitoring and forecasting occurrence of landslides. With the purpose of applying the D-INSAR to landslide hazard monitoring and early warning, this paper firstly introduces the main algorithms, derivation principles and processing method of the D-INSAR technique. Then based on a detailed review for the application studies to this subject so far in the world, the advantages and difficulties concerning the application of this technique to landslide monitoring are concluded. By means of some new developments of monitoring technique, possible solutions for the existing problems to practical application of D-1NSAR are proposed. D-INSAR should be synthetically utilized with advanced earth detection and digitization techniques in monitoring landslide, such as permanent scatterers （PS）, small baseline subset（SBAS）, global positioning system（GPS）, linear SAR （LISA） technique. These techniques are suggested to be combined with the D-INSAR technique together to improve an effective monitoring.