This paper describes the application of remote sensing techniques, based on SAR interferometry for the intensity zonation of the landslide affecting the Castagnola village (Northern Apennines of Liguria region, Italy). The study of the instability conditions of the landslide started in 2001 with the installation of conventional monitoring systems, such as inclinometers and crackmeters, ranging ...

Abstract Landslide forensics assessment was conducted in Cimanggung, Sumedang with the aim of identifying causes and processes landslides to guide critical step future disaster prevention. The methodology includes investigations on geology, lithology, hydrology, land cover, land-use changes, rainfall triggering landslide. Unmanned Aerial Vehicles were used investigate detailed spatial geomorpho...

Identification and mapping of landslide deposits are an intrinsically difficult and subjective operation that requires a great effort to minimise the inherent uncertainty. For the Staffora Basin, which extends for almost 300 km2 in the northern Apennines, three landslide inventory maps were independently produced by three groups of geomorphologists. In comparing each map with the others, large ...

Landslide is a major natural disaster in India or countries elsewhere where significant portion of landmass is in mountainous areas. For such areas, identification of landslide forms a fundamental input to develop landslide hazard management and mitigation measures. Previously, landslides used to be identified either by manual image interpretation process or by field investigations that demande...

Abstract: This work presents Analytical Hierarchy Process (AHP) method available in Geographic Information System (GIS) to identify and classify the Penang Island according to the grade of present or potential danger of land failure happening. Landslide susceptibility zonation map has been generated by considering seven factors. Sensitivity analysis was performed in detail by varying the contri...

The Landslide,which is caused by mining activities, has become an important factor which constrains the sustainable development of mining area. Thus it becomes very important to predict the landslide in order to reduce and even to avoid the loss in hazards. The paper is to address the landslide prediction problem in the environment of GIS by establishing the landslide prediction model based on ...

Current landslide hazard analysis does a poor job of informing the planning process for forest operations in that landslide models provide maps of landslide hazard instead of quantitative measure of landslide impact. Other aspects of forest management planning (such as road surface erosion) provide quantifiable estimates of impacts such as tons of sediment delivered to the stream. This paper ou...