Modeling can be defined in the context of geographic information systems (GIS) as occurring whenever operations of the GIS attempt to emulate processes in the real world, at one point in time or over an extended period. Models are useful and used in a vast array of GIS applications, from simple evaluation to the prediction of future landscapes. Modeling in GIS raises a number of important issues, including the question of validation, the roles of scale and accuracy, and the design of infrastructure to facilitate sharing of models.
Author: Milen Ivanov
Spatial data infrastructure (SDI) is the infrastructure that facilitates the discovery, access, management, distribution, reuse, and preservation of digital geospatial resources. The aim of this paper is to present the nature and concept of spatial data infrastructures, which have helped to build understanding about the importance of the relationships within different levels of SDIs to support the interactions and partnerships of the spatial data communities.
The aim of this article is to describe the general methodology of earthquake early warning systems. The common disaster monitoring system was analyzed, and the construction system of disaster information management system was discussed particularly. This paper addresses traditional views of early warning systems and what is needed to turn them into efficient, people-centred systems.
TECHNICAL FACILITIES FOR ENSURING SECURITY
Over the last decades the impact of natural disasters to the global environment is becoming more and more severe. In this context, satellite remote sensing, along with Geographic Information Systems (GIS), has become a key tool in flood risk management analysis. Remote sensing for supporting various aspects of flood risk management was investigated in the present thesis. In particular, the research focused on the use of satellite images for flood mapping and monitoring, damage assessment and risk assessment.