| Popis: |
Soil moisture (SM) is a key parameter in the hydrological cycle. Its lack or abundance can cause extreme events such as floods and drought. To track drought, we have chosen the Microwave Integrated Drought Index (MIDI). In order to calculate MIDI, we used SM, precipitation and Land Surface Temperature (LST). The study concerns the 2010-2019 growing seasons. Our study area is composed of some agricultural sites in Morocco: Settat and Meknes areas. MIDI was calculated using two approaches (Al and A2). Then, each approach used two types of classifications (Cl and C2) with five drought classes in order to estimate severity. Four types of MIDI were found: MIDII (approach Al and classification Cl), MIDI2 (approach Al and classification C2), MIDI3 (approach A2 and classification Cl), and MIDI4 (approach A2 and classification C2),. Drought index calculation and drought maps generation was done using Google Earth Engine (GEE). Then, a comparison with a previous study for the 2015-2016 drought event was led in order to validate the results of drought maps. MIDI4 was found to show the best performance in the study. |
