A Spatiotemporal Drought Analysis Application Implemented in the Google Earth Engine and Applied to Iran as a Case Study

Drought is a major problem in the world and has become more severe recent decades, especially arid semi-arid regions. In this study, Google Earth Engine (GEE) app been implemented to monitor spatiotemporal drought conditions over different climatic The allows every user perform analysis region for period of their choice, benefiting from huge GEE dataset free open data as well its fast cloud-based computation. implements scaled condition index (SDCI), which combination three indices: vegetation (VCI), temperature (TCI), precipitation (PCI), derived or calculated satellite imagery through platform. De Martonne climate classification used derive region; within each indices have computed separately. test case area Iran, shows territory with high variability, where explored 11 years (from 2010 2021) allowing us cover reasonable time series available Engine. developed tool allowed singling-out events climate, offering both spatial temporal representation phenomenon confirming results found local global reports.