Recently, the total amount of greenhouse gas emissions has rapidly increased because of the effect of both urbanization and industrialization through the internal and external. This rapid increase has caused global warming, which has in turn caused a rise in rainfall intensities and rates of localized heavy rain. Consequently, the frequency of landslide occurrences and natural disasters has increased rapidly. For example, massive landslides have resulted in the large-scale loss of lives at many places in South Korea, namely, in Gunsan, Jeonbuk Province (2012); Mount Umyeon, Seoul (2011); and Chuncheon, Gangwon Province (2011).

To execute emergency measures against damage caused by storms and floods, the Ministry of Public Safety and Security has been operating the National Disaster Management System (NDMS), which can be accessed by local governments cross-nationally. However, there are numerous difficulties pertaining to systematically and promptly controlling risks associated with steep slopes. This is mainly because the information provided by the NDMS is restricted to brief text-based data.

The objective of this study is to define the spatial core technology information pertaining to the surface and underground areas of steep slopes and hence control risks promptly and prevent disasters in regions with steep slopes. Furthermore, an application method for the spatial information technology is studied to maximize the efficiency of controlling various steep slopes. In addition, the Integrated Prototype Control Program for steep slope information is developed in this study on the basis of an integrated database (DB) and spatial information technology.

In this study, the integrated DB management prototype program is developed for controlling the defined surface and underground spatial DB of steep slopes. In addition, the Integrated Prototype Control Program for steep slopes can improve the decision-making support system, which is designed to predict the risks associated with steep slopes.

The contents also improve this study as follows:

First, an existing official steep slope management system is changed from a text-based DB to a GIS-based DB.

Second, the standardized steep slope DB can be connected to various official DBs to improve the connectivity between and availability of interacting systems.

Third, the sophistication of the prototype program developed in this study can provide protection from risks associated with steep slopes through the stability evaluation of these risks.

Going forward, the sophistication of the prototype program should be continuously studied to control the GIS-based steep slope DB efficiently and improve the decision-making support system.