Concentration of heavy metals in molluscs from Sabak Bernam, Selangor

Abstract

Integrating remote sensing and Geographical Information System (GIS) in research of land, water, agriculture and marine resources and geomorphology may lead the researchers to a more understanding of sustainable development. In this study, the integration of these two disciplines was used to detect the land use change and produce land use map of Kuala Terengganu town area, Terengganu. For the land cover classification, satellite image (IKONOS), captured on 28th August 2002 and (QuickBird), captured on 14th April 2007 and 9th December 2009 was analyzed and classified using two classifier from 'Maximum Likelihood Classifier' with overall kappa accuracy 0.96, 0.94 and 0.94 respectively. From the results, 6 basic classes of the land cover were classified. There are water body, sand, vegetation, building, land and tar. Land use map of this three different years were produced from the result. Determination of land use changes was done by comparing three satellite images dated the 28th August 2002, the 14th April 2007 and the 9th December 2009. These images were classified and comparing for the changes detection. Three out of four types change detection has been identified, which are new area, lost area and replanting. From the result, Kuala Terengganu town area was been defined as the development area which needs a plan to become sustainable development. This study, therefore, implies that the integration of remote sensing and GIS techniques is an accurate, fast and easy method in order to identify land use changes and produce land use map.