title: Landslide hazard assessment: recent trends and techniques.
abstract: Landslide hazard assessment is an important step towards landslide hazard and risk management. There are several methods of Landslide Hazard Zonation (LHZ) viz. heuristic, semi quantitative, quantitative, probabilistic and multi-criteria decision making process. However, no one method is accepted universally for effective assessment of landslide hazards. In recent years, several attempts have been made to apply different methods of LHZ and to compare results in order to find the best suited model. This paper presents the review of researches on landslide hazard mapping published in recent years. The advanced multivariate techniques are proved to be effective in spatial prediction of landslides with high degree of accuracy. Physical process based models also perform well in LHZ mapping even in the areas with poor database. Multi-criteria decision making approach also play significant role in determining relative importance of landslide causative factors in slope instability process. Remote Sensing and Geographical Information System (GIS) are powerful tools to assess landslide hazards and are being used extensively in landslide researches since last decade. Aerial photographs and high resolution satellite data are useful in detection, mapping and monitoring landslide processes. GIS based LHZ models helps not only to map and monitor landslides but also to predict future slope failures. The advancements in Geo-spatial technologies have opened the doors for detailed and accurate assessment of landslide hazards.
authors: Department of Geography, University of Pune, Ganeshkhind, Pune, 411007 India.
authors: Sudhakar D
authors: SD
authors: Pardeshi
authors: Department of Geography, Swami Vivekanand Night College, Chattrapati Bhavan, Ayre Road, Dattanagar, Dombivli (E), 421201 India.
authors: Sumant E
authors: SE
authors: Autade
authors: Department of Geography, Annasaheb Magar College, Hadapsar, Pune, 411028 India.
authors: Suchitra S
authors: SS
authors: Pardeshi
keywords: Geographical information system; Landslide hazard; Landslide hazard zonation; Preparatory variables; Remotely sensed data; Triggering mechanism