The recent development of new approaches for natural hazard and risk assessment, including the use of spatially distributed deterministic models, soft computing, data mining and statistical models, run-out modelling and probabilistic approaches have been gaining immense popularity in the geohazard community. The habilitation thesis in hand presents current research results and methodological diversities on the landslides, flood, oil spills, and forest fire applications with a major focus on susceptibility, hazard and risk analyses with various examples from South-East Asia. rnThe introductory section describes complexity of relationship between the geological, geomorphological, meteorological causative parameters and its direct impact on natural hazards initiations. I will also discuss about some important terminologies related to the geohazard management. Further, this chapter will discuss about the spatial information technologies aided with soft computing techniques to support hazard and risk management. The rest of the sections will discuss the effective utilization of geoinformation technologies (GIT) to studying these natural disasters and to addressing technical and some application issues with some examples in Malaysia. rnThis habilitation thesis is organized in two major parts, the first describes the methods and development of algorithms and the second presents some applications. The central topic of this thesis is the development and application of different soft computing, probability and data mining techniques for geohazard management. Recently, there are number of different approaches for the measurement of geohazard, including direct and indirect heuristic approaches, and deterministic, probabilistic, statistical and data mining approaches. In this thesis, I will focus on the latest and modern techniques in data mining to improve geohazard modeling with some case studies. For the modeling, I have used various parameters (earth observation remote sensing based, lithological, geomorphological etc.), processes and mechanisms geohazard modelling with the aid of GIS and soft computing approaches. rnThe goal of this habilitation thesis is to dealing with the various types of geohazard (landslide, flood, forest fire, and oil spill) and modeling approaches to reduce the impacts that can be taken prior to their occurrence, by adapting spatial information technologies to support increased coordination among multiple programs of geohazard management. In this habilitation thesis is demonstrated the application of GIT tools to the task of identifying, analyzing, assessing, and modeling of these geohazard with numerous examples.rn