Geographic Information System and Image Classification of Remote Sensing Synergy for Land-Use Identifikation

Mukhaiyar, Riki (2019) Geographic Information System and Image Classification of Remote Sensing Synergy for Land-Use Identifikation. International Journal of GEOMATE, 16. pp. 245-251. ISSN 2186-2990

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Abstract

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.

Item Type: Article
Subjects: T Technology > GT Technology (general)
Divisions: Fakultas Teknik > Teknik Elektro Industri - D4
Depositing User: Mrs. Wiwi Sartika
Date Deposited: 04 Jan 2019 07:43
Last Modified: 04 Jan 2019 07:43
URI: http://repository.unp.ac.id/id/eprint/20187

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