Surface Runoff Responses to Suburban Growth: An Integration of Remote Sensing, GIS, and Curve Number

Suburban growth and its impacts on surface runoff were investigated using the soil conservation service curve number (SCS-CN) model, compared with integrated advanced remote sensing geographic information system (GIS)-based approach, over South Kingston, Rhode Island, USA. This study analyzed employed supervised classification method four Landsat images from 1994, 2004, 2014, 2020 to detect land-use pattern changes through applications. Results showed that 68.6% urban land expansion was reported 1994 in this suburban area. After change detection, a GIS-based SCS-CN model developed examine estimation. The demonstrated spatial distribution of for each studied years. results an increasing 2% 10% 2020. correlation between co-efficient rainfall indicated significant impact last 36 years Kingstown, RI, USA, showing slight forest (8.2% area total area) agricultural (4.8% area). began after 2000, within 16 started show substantial runoff. We concluded proposed approach could classify cover understand potential