GEOGRAPHIC INFORMATION SYSTEM AND IMAGE CLASSIFICATION OF REMOTE SENSING SYNERGY FOR LANDUSE IDENTIFICATION
Keywords:
GIS, Remote Sensing, Image Processing, Image Classification, Land-UseAbstract
Geographic Information System (GIS) is one of the ways to obtain updated information in
detail. As the name suggests, GIS can perform detail information about geographical area or place. Moreover,
transferring the classified imagery as the result of remote sensing obtained in each period of time (per one
year, per two years, per three years, based on the needs) to the GIS database will increase the information
resources. This is because; at first, the remote sensing image can cover the entire surface of this earth; second,
remote sensing image contains information about the earth’s surface. By doing an appropriate image
processing procedure, rich information could be collected. For further research, other techniques of
classification are necessary to be done so that the results can be compared with the results of the previous
techniques. This research produces two different image date resources, i.e. digital maps of land use in
watershed of Ciliwung downstream (accommodated raw data by Bakosurtanal/Coordinator for The National
Survey and Mapping) and landsat TM image with 30 m resolution using RoI in Ciliwung downstream
watershed (accommodated raw data by Geotek LIPI/Indonesian Institute of Sciences for Geological
Technology at Sangkuriang, Bandung). Digital intersections of these two resources produce a varied classing
land-use.