Landslides are a natural hazard that is unpredictable, but we can prevent them. The Landslide Susceptibility Index reduces the uncertainty of living with landslides significantly. Planning and managing landslide-prone areas critical. Using most optimistic deep neural network techniques, proposed work classifies analyses severity landslide. selected experimental study area Kerala’s Idukki distri...

Abstract. Generating precise and up-to-date landslide susceptibility maps (LSMs) in landslide-prone areas is important to identify hazard potential the future. The data quality method selection affect accuracy of LSMs. In this context, precision digital elevation models (DEMs) used as input are among most performance elements. Therefore, influence DEM spatial resolution producing LSMs was inves...

This paper presents the spatial susceptibility risk mapping of tuberculosis (TB) using a geographical information system (GIS) index model and satellite remote sensing (RS) imagery. GIS RS-based approach is proposed as an alternative method in identifying potentially high-risk areas Klang, Selangor. The level for selected socio-spatial factors map was classified into five-scale from 1, which no...