Extracting Urban Water Bodies from Landsat Imagery Based on mNDWI and HSV Transformation

Urban water bodies are critical for sustainable urban ecological and social development. However, the complex compositions of land cover small pose considerable challenges to surface delineation. Here, we propose a novel extraction algorithm (UWEA) that is efficient in distinguishing other low-reflective objects by combining modified normalized difference index (mNDWI) HSV transformation. The spectral properties covers were analyzed separability different color spaces was compared before applying accuracy robustness UWEA validated six highly urbanized subregions Beijing, Tokyo, New York, with mNDWI HIS methods. results show had fewest total errors (sum omission commission errors) all validation sites, which approximately 3% fewer than those 17% method. performed best because it good at identifying suppressing reflective surfaces. effective monitoring its thresholds also robust various situations. resulting accurate map could support water-related analyses. This method useful scientists, managers, planners resource management, hydrological applications,