Sentence examples for landslide study from inspiring English sources

Construction of scaled-down landslide models is an important means for landslide study.

For instance Longoni et al. (2016) combined geological, geomorphological and geophysical data for the Ronco landslide study (Northern Italy).

Thus, a combination of test results obtained from GPR survey and MASW may be very useful for any landslide study (primarily, for calculation of debris volume and understanding the internal structures).

Therefore, due to the physical conditions and the lack of coseismic landslide study, it is considered to conduct this study in order to provide a better understanding and information of coseismic landslide.

It has also proved difficult to reorient landslide studies to tackle slope instability problems with greater sensitivity to the stakeholders' needs.

This paper surveys the evolution and progress of landslide studies with particular reference to the use of geographic information systems (GIS) in setting the agenda for research.

The analysis of the morphological and topographical characteristics (width length relation, frequency area distribution and topographical threshold) of the landslides revealed important differences compared to the characteristics reported in other landslide studies, and helped understanding possible landslide triggering mechanisms.

Under favourable environmental conditions, the innovative Permanent Scatterers (PS) technique, which overcomes several limitations of conventional SAR differential interferometry (DInSAR) applications in landslide studies, is suitable for monitoring slope deformations with millimetric precision.

Most previous landslide studies have focused on individual events or general models, whereas the questions addressed here arise from a comparative approach emphasizing common and contrasting features among events in sets and in different regions.

This sub-division is quite appropriate regarding the landslide studies.

Hence, it is necessary to consider the land use and land cover factor in landslide studies.