Analysis of Multispectral Drought Indices in Central Tunisia

Surface water stress remote sensing indices can be very helpful to monitor the impact of drought on agro-ecosystems, and serve as early warning indicators avoid further damages crop productivity. In this study, we compare from three different spectral domains: plant use derived evapotranspiration retrieved using data thermal infrared domain, root zone soil moisture at low resolution microwave domain Soil Water Index (SWI), active vegetation fraction cover deduced Normalized Difference Vegetation (NDVI) time series. The index is computed a dual-source model Plant Atmosphere Remote Evapotranspiration (SPARSE) that relies meteorological variables data. order extend in available series, statistical downscaling method applied reanalysis with unprocessed Our study shows show comparable performance overall compared SWI better resolution. However, are more sensitive for period tend react quickly stress.