ANALYSIS OF URBAN LAND COVER CHANGE THROUGH V-I-S (VEGETATION-IMPERVIOUS SURFACE-SOIL) MODEL USINGMULTITEMPORAL LANDSAT DATA IN WATERSHEDS ACROSS DKI JAKARTA

• Main Authors: , AJI PUTRA PERDANA, , Prof. Dr. Hartono, DEA, DESS
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2012
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/100082/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=56432
• Institution: Universitas Gadjah Mada

This research used the Vegetation-Impervious Surface-Soil (V-I-S) model as conceptual model proposed by Ridd in 1995 to simplify the heterogeneous of urban environment into three basic ground components: vegetation, impervious surface, and soil. Estimating, mapping and monitoring V-I-S components are valuable task for providing spatial information to set up planning and management of watershed area. Watersheds across DKI Jakarta as one unit river region have been selected as study area due to dynamic change in urban environment of DKI Jakarta also spatial synergism between DKI Jakarta and its surrounding cities that emerge Jabodetabek. The aims of this research are: (1) to obtain three basic components of urban environments from Landsat data so as to characterize the urban area, (2) to analyze spatial-temporal changes of the urban land cover at three periods, (3) to examine intra-urban variations of land cover via comparative analyze of the V-I-S components of the cities in study area. This research uses spectral mixture analysis (SMA) for extracting V-I-S components from Multitemporal Landsat data. Post classification change detection carried out by comparing the result of V- I-S model periods 1975, 1990, 2000 and 2010. Map analysis in this study in scale 1:250,000 due to spatial resolution of Landsat MSS (57 meters) and 30 meters for Landsat TM and ETM+. The present study exhibits a great potential for accurate urban environment through Ridd�s V-I-S model using Landsat GeoCover and/or GLS data. Classified of percentage image fractions can characterized urban area and multi years data utilized to urban change detection. The rapid expansion of Jakarta can be analyzed through urban area change since 1975 until 2010 which caused by population growth and human activities. Spatial comparison of intra-urban variation of DKI Jakarta, Depok City and Bogor City described spatial expression of urban area which characterize urban environment based on V-I-S components. DKI Jakarta in lowland area dominated by impervious surface, Depok city is in middle stream should preserve the reservoirs, and vegetation cover in Bogor city play an important role.