Estimating Impervious Surfaces Area Using MODIS Data in Indonesia

Impervious surface area (ISA) has recently become a key concept in the field of urban remote sensing, with a focus on estimation of the ISA at a city-scale by using Landsat-style satellite images. In addition, ISA estimation is also in demand in disciplines such as the environmental assessment and policy making at a national scale. The objective in this study is to build a reference for the fractional ISA map made by satellite MODIS images. The regions of study is northern part of West Java Island. This regions are chosen because there are various land cover/use types especially for impervious surfaces. Next, a temporal mixture analysis (TMA) technique were applied to estimate the ISA fraction. Actual ISA distribution maps obtained from high resolution image of Google Earth were used as reference maps to evaluate the performance of the proposed method. Each ground control point (GCP) is a 750m*750m window, represented 3×3 pixels spatial resolution of MODIS. Meanwhile, GCP were sampled evenly covering 0-100 persen ISA ratio. The results indicated that ISA algorithm using MODIS showed high correlation between estimation and actual condition (r2=0.816). These results demonstrated MODIS can be used to build fractional ISA map to support the study of environmental change that related with human activities. Proceedings of ARCS. Hal. 216-221