Remote sensing based indices has been particularly widely used for natural hazard monitoring. Drought is one of natural hazard that mainly effects agricultural production in Indonesia. Therefore, the remote sensing based indices for drought monitoring have many variations of indexes to overcome the needs. In this research, new remote sensing based indices, namely Difference Drought Index (DDI) was used to monitor the water cover of vegetation that can be differentiate the drought for six categories, wet cover to very strong drought in El Nino strong year 2015. The other remote sensing based indices also being studied, VHI (Vegetation Health Index) to compare with DDI index. The results showed these two indexes performed good result in identifying drought in El Nino year 2015. For future studies, more indexes are needed to be examined in order to find better index used for monitor drought in Indonesia.
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