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Floods are one of the most common natural disasters worldwide, leading toeconomic losses and loss of human lives. This paper highlights thehydrological effects of multi-temporal land use changes in flood hazardwithin the Yialias catchment area, located in central Cyprus. A calibratedhydrological model was firstly developed to describe the hydrologicalprocesses and internal basin dynamics of the three major subbasins, inorder to study the diachronic effects of land use changes. For theimplementation of the hydrological model, land use, soil andhydrometeorological data were incorporated. The climatic and stream flowdata were derived from rain and flow gauge stations located in the widerarea of the watershed basin. In addition, the land use and soil data wereextracted after the application of object-oriented nearest neighboralgorithms of ASTER satellite images. Subsequently, the cellular automata(CA)–Markov chain analysis was implemented to predict the 2020 land use/land cover (LULC) map and incorporate it to the hydrological impactassessment. The results denoted the increase of runoff in the catchment areadue to the recorded extensive urban sprawl phenomenon of the lastdecade

GIS and remote sensing techniques for the assessment of land use change impact on flood hydrology: the case study of Yialias basin in Cyprus