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To effectively deal with the spring drought facing South Korea periodically since 2000, a monitoring system to keep tracing the drought is critical, along with the index indicating the severity of the drought in a quantified value. To conduct the in-depth evaluation of the behavior and intensity of the drought by region, a spatial analysis by area unit is needed. Satellite imagery is an effective tool that provides spatial information regularly in a timely manner and the vegetation index developed using band combination of satellite imagery has been used for monitoring the drought since the mid-1990s. In this study, VCI and SVI were produced, using MODIS NDVI to evaluate the droughts that occurred during the period 2000 to 2007, investigating the years, severity and the regions and times where and when the drought occurred the most. Moreover, comparing with existing monitoring tool was conducted, thereby presenting the efficient method for spring drought monitoring using vegetation index.

A flood resulting from climate changes recently has brought about tremendous damage to the people and property. For restoration and to establish the countermeasure, various investigations into the flood-inundated area have been underway. Among the investigation measures commonly adopted in South Korea are on-site survey and indirect investigation using flood outflow model. However, with such methods, it's difficult to obtain a quick outcome as well as require verification for reliability. SAR that provides data irrespective of weather conditions and enables to perform rapid and precise investigation has been used since 1990s for flood monitoring. This study as basic research in preparation for launching KOMPSAT-5 in 2010 to use SAR sensor for water resources development is intended to compare the existing method to identify flood inundated area with that using SAR image, and measures to make use of SAR image.