ESTIMATION OF IMPERVIOUS SURFACE USING MULTI-TEMPORAL LANDSAT IMAGERY AND ITS IMPACT TO RUNOFF

摘要

The impacts of urbanization is one of the important effect land use and land cover changes on runoff within watersheds, and is a vital issue in the past decades. This paper reports on study of the estimation of changes in impervious surface fraction from medium resolution satellite data over Kuala Lumpur City, Malaysia. Impervious surface is a major key indicator in determining the impacts of urbanisation. A Linear Spectral Mixture Analysis (LSMA) is used to quantify the impervious surface fractions. A simulation of impervious surface fraction is based on a Landsat Thematic Mapper (TM) multi-temporal image acquired in 2000, 2006 and 2009. Subsequently, the impact of change in impervious surface cover between 2000 and 2009 on surface runoff is evaluated by estimating surface runoff using Soil Conservation Service Curve Number (SCS-CN) method. The results show that, most identify newly urbanised areas within the existing city reported a significant agreement between spatial patterns of impervious surface and estimated runoff surface. Hence, it is concluded that impervious surface fraction estimation with LSMA offers impact of impervious surface be mapped and monitored for mitigating further water-based disaster within urban areas.