Climatic zonation of Egypt based on high-resolution dataset using image clustering technique

Abstract Egypt, a predominantly arid and hyper-arid country, is one of the environmentally most fragile regions world. The country became hot spot for climatic extremes aridity change in global warming context. unavailability detailed reliable climate zonation map major hindrance to studies Egypt. This study attempted generate high-resolution zone Egypt based on novel image analysis technique. For this purpose, colored representing Egypt's composite climatology was developed using three (1-km) variables: rainfall, maximum temperature minimum during 1979–2013. A spherical evolution algorithm used classify into different zones. Subsequently, zones similar distribution were merged revealed that Egypt’s distinguishable could be recognized when land area classified nine statistical variables each only two pairs merging yielded seven having distinct characteristics. validation various tests robustness proposed method classifying climate. generated can as reference