Abstract:
Land cover changes were one of the variables that can affect the watershed system. Land cover
changes were in the form of anthropogenic activities. The aim of this research was to identify land
cover changes in Sail Sub Watershed using remote sensing data. The data that were used are
Landsat 5 TM Imagery year of 2000, 2005 and 2015. The data has been digitized using GIS
techniques by on screen digitization. The results showed remote sensing data quite accurate to land
cover or land use information extraction with 88% accuration. Land cover in Sub DAS Sail has
been classified by using local knowledge. The results shown that land cover in Sub DAS Sail can
divided into 6 (six) classes such us built up land, bush, swamp area, agriculture, oil palm
plantation and water body. From 2000-2015 built up land area and oil palm plantation has
increasing pattern, meanwhile bush and swamp area were decreasing over the year. This condition
surely can impact the watershed condition like hydrological conditions. This information will be
useful for the watershed management, especially in floods case and the general for regional
planning.
