The shallow landslides affect most of the hillslopes in the Prahova Subcarpathians and are mainly caused by the agriculture practices. Though, these processes do not imply immediately losses for human activity, the landslide susceptibility assessment is necessary to prevent terrain degradation. The evaluation of landslide susceptibility requires understanding of spatial distribution of the fact...

Abstract. This paper introduces the Landslide Susceptibility Assessment Tools – Project Manager Suite (LSAT PM), an open-source, easy-to-use software written in Python. Primarily developed to conduct landslide susceptibility analysis (LSA), it is not limited this issue and applies any other research dealing with supervised spatial binary classification. LSAT PM provides efficient interactive da...

This Report is presented to Geological Survey of Ireland in respect of the Landslide Susceptibility Mapping Project and may not be used or relied on by any other person or by the client in relation to any other matters not covered specifically by the scope of this Report. Notwithstanding anything to the contrary contained in the report, Mouchel is obliged to exercise reasonable skill, care and ...

Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Abstract The often-used success rate (SR) in measuring cell-based landslide mod...

The aim of this contribution is to give an overview of recent developments in the use of Geographical Information Systems and Earth Observation which have been applied for improved landslide inventory mapping, landslide susceptibility and hazard assessment, elements at risk mapping, and finally landslide vulnerability and risk assessment. Geo-Information science and earth observation consists o...

An integrated approach was adopted over Faifa Mountain and its surroundings, in Saudi Arabia, to identify landslide types, distribution, and controlling factors, and to generate landslide susceptibility maps. Given the inaccessibility of the area, we relied on remote sensing observations and GIS-based applications to enable spatial analysis of data and extrapolation of limited field observation...