Digital image and remote sensing image as a data for an identification of a quality of a non-point source pollutant in Ciliwung River, Indonesia

Abstract

The fact that the quality of water in the river is getting worse, especially for Ciliwung River which is contaminated with non-point source pollutant from household wastes, particularly on the downstream of Ciliwung River cannot be lied. But, by using technology of remote sensing, integrated with information from the data of digital image and modeling technology for the simulation of water quality will provide easiness during the observation on the quality of water changes on the river surface. One example of it is that the use of land for settlements and housing ranges between 62.84% - 81.26% on the downstream of Ciliwung River, give a significant picture in seeing factors that affected the water quality of Ciliwung River.