In the last few years, several regions in Europe have been affected by drought. It is anticipated that these droughts will be more frequent due to global climate change involving future increases in temperature and changes in precipitation [1]. Drought is a normal, recurrent feature of climate, although often erroneously considered an unexpected and extraordinary event. Its main origin is reduced precipitation over an extended period, usually one season or more. Human activities such as over exploitation of aquifers, loss of soil covers or vegetation due to inadequate land use may aggravate their effects. An analysis of the “observed” changes of the development of land covers may hence serve as a key indicator of the drought impact. In this sense, a number of studies show the use of remote sensing data for characterization and monitoring of drought conditions within a region, based on the fact that satellite remote sensing observations can provide a synoptic view of the land and provide a spatial context for measuring it. Regarding this, a recent index, the Normalized Difference Drought Index (NDDI) can offer us an appropriate measure of the dryness of a particular area, because it combines information on both vegetation and water, i.e., NDDI combines information from the NDWI (Normalized Difference Water Index) and NDVI (Normalized Difference Vegetation Index) data. The first is an index calculated from the visible red and near infrared channels, measurin