Forests account for a significant portion of the global net primary productivity and provide essential ecosystem services, including carbon sequestration, biodiversity conservation and regulation of the hydrological cycle. In recent decades, the increasing frequency and intensity of drought conditions has threatened forest health in many parts of the world, negatively affecting physiological processes and increasing the risk of tree mortality. Therefore, it is crucial to better understand the response of forest species to drought conditions in the field and extend it to larger spatial scales, thanks to the current advances in remote sensing monitoring techniques. The main objective of this study is to assess the sensitivity of holm oak (Quercus ilex L.) and wild olive (Olea europaea L. var. sylvestris Brot.) trees to drought-induced water stress at four sites in the south of the Sardinia region, Italy. These two species were selected because of their abundant presence in the Sardinia region and their known different behaviour under water stress conditions. Sites will be monitored every two weeks from the end of May to the beginning of September by measuring relative water content (RWC) as a proxy of actual water stress, and calculation of vegetation indices derived from satellite remote sensing. Expected results will show the differences in the response to water stress of the two species across the four sites, based on the trends in RWC values and remotely acquired vegetation indices. Furthermore, the relationship between RWC values and vegetation indices will enable the interpretation of remotely sensed data on the impact of water stress across larger spatial scales, considering the diversity of species and vegetation types present in different forested areas. This approach would allow an accurate identification of forest areas to be prioritised against the risk of water stress and tree mortality due to drought conditions.