中文摘要：

高效的数字地形分析（Digital Terrain Analysis,DTA）是滑坡预测与评估研究的重要手段。文章综述了DTA在滑坡研究中的应用现状,基本内容包括地形因子分析、地形形态分析、地形单元划分以及DEM与滑坡模型的结合分析。地形因子分析的应用多而广,主要思路是在地形因子与滑坡发育的关系研究基础上分析其滑坡敏感性,进而构建滑坡预测和评估模型;地形形态分析是滑坡识别的重要手段,加强地貌形态和滑坡发育的关系研究有助于对潜在滑坡地形的识别;地形单元划分能为滑坡研究提供统计和分析单元;DEM与滑坡专业模型的结合方式多样,程度各异。同时,从尺度选择与转换的角度探讨了DTA滑坡研究的尺度问题,分析了DTA的局限性,指出DEM不能提供完备无误的地形信息,DTA不能完全取代常规的地形分析。最后,基于以上论述对未来的研究趋势提出了展望。

英文摘要：

With efficient performance, Digital Terrain Analysis（DTA） has been the predominant means of terrain analysis in landslide researches. Based on previous landslide literature, this paper reviews the basic application of DTA in landslide studies, including analysis of terrain factors, analysis of topographic morphology, terrain unit partition, and coupling analysis of DEM and landslide models. There are various applications of terrain factors, whose relationship with landslides is widely studied so as to assess their susceptibilities to landslide and then build prediction and elevation models. Analysis of topographic morphology intends to distinguish and recognize desired landslide terrain from normal terrain. It is possible to recognize the relief forms readily developing to landslides with further study of the correlation between specific terrain forms and landslides. Unit network partitioned by DTA may serve as elementary zones for statistics or other analysis. In more than one way, DEM is frequently incorporated into many landslide models in need of terrain information. Besides basic applications, we discuss scale issues of DTA in landslide studies, involving scale selection and transformation. Limitations of DTA are individually discussed, with the conclusion that DEM fails to characterize complete topographic features of landslides and thus DTA is unable to completely replace conventional terrain analysis method. At last, we propose 4 aspects to be further improved, including： 1） developing DTA-assisted 3D geological models for landslide numerical analysis; 2） probing into the relationship between topographical factors and geomechanical parameters; 3） enhancing the application of Li DAR in landslide studies; 4） analyzing the scale effects of DTA in landslide studies and normalizing rules of scale selection and transformation.