Open Science Research Excellence
%0 Journal Article
%A Riki Mukhaiyar
%D 2011 
%J  International Journal of Computer and Information Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 55, 2011
%T Quality of Non-Point Source Pollutant Identification using Digital Image and Remote Sensing Image
%U http://waset.org/publications/15313
%V 55
%X The integration between technology of remote
sensing, 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. For example, Ciliwung River which is contaminated with
non-point source pollutant from household wastes, particularly on its
downstream. This fact informed that the quality of water in this river
is getting worse. The land use 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.
%P 753 - 758