A Review on Disaster Prediction with Remote Sensing (RS) and Geographical Information Systems (GIS)

Abstract

Due to ecological unbalance natural disasters are frequently occurring nowadays. Hence it is now a priority to predict the hazards efficiently and disaster management (DM) has become of utmost importance for nations to protect the humans, equipment and property. The recent developments in remote sensing (RS) and geographical information systems (GIS) have come into existence to reduce the risk and to manage disasters well with analysis. A lot of scientific research work has been done over the past decade to integrate both RS and GIS, to effectively manage the disaster. This paper reviewed RS about merits and demerits, and also GIS and reviewed the benefits of integration of these two latest methods. Remote sensing collects information over a limited area, with the aid of special tools and sends it to a destination designated. It would not be sent to multiple locations and receiving equipment has to be programmed for this. However, a geographic information system (GIS) can cover an infinite area using various layers, spatial data in both raster and vector formats, and multiple analysis tools. The integration of these two systems will cater to the total needs of disaster management. It is the prime object of any country to safeguard the people, equipment of national property and the environment because of the World Health Organization (WHO), to predict the disasters and to alert the people for management of the tasks. This paper, addressed the issues and ways to overcome them with the combination of RS and GIS.