Title of article :
Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus
Author/Authors :
Ary Dharmawan, Irwan Department of Geophysics - Faculty of Mathematics and Natural Sciences - Universitas Padjadjaran - Jl. Raya Bandung Sumedang km. 21 - Jatinangor - Sumedang 45363 - Jawa Barat - Indonesia , Ario Eko Rahadianto, Muhammad Department of Geophysics - Faculty of Mathematics and Natural Sciences - Universitas Padjadjaran - Jl. Raya Bandung Sumedang km. 21 - Jatinangor - Sumedang 45363 - Jawa Barat - Indonesia , Henry, Edward Directorate of Facilities - Infrastructures and Asset Management - Universitas Padjadjaran - Jl. Raya Bandung Sumedang km. 21 - Jatinangor - Sumedang 45363 - Jawa Barat - Indonesia , Endyana, Cipta Faculty of Geological Engineering - Universitas Padjadjaran - Jl. Raya Bandung Sumedang km. 21 - Jatinangor - Sumedang 45363 - Jawa Barat - Indonesia , Aufaristama, Muhammad University of Twente - Faculty for Geo-Information Science and Earth Observation (ITC) - P.O. Box 6 - 7500 AA Enschede - Netherlands
Abstract :
The study of Land Use Land Cover (LULC) is essential to understanding how land has been altered in recent years and what has caused the processes behind the change. This is significant for the future development of the area, particularly on the campus of the Universitas Padjadjaran Jatinangor. The purpose of this study was to apply remote-sensing techniques to map a university campus and vicinity by comparing the area of urban green space (UGS) and floor area ratios (FARs) of the campus in 2015 and 2017. Additionally, surface runoff analysis was also conducted. For our research, we used WorldView-2's high-resolution satellite imagery with a resolution of 0.46 m in the Universitas Padjadjaran (Padjadjaran University, or Unpad) Jatinangor campus, Jawa Barat, Indonesia. Our approach was to interpret the imagery by running the normalized difference vegetation index (NDVI) to distinguish UGS and FAR and using digital elevation model (DEM) interferometric synthetic aperture radar (SAR) data with hydrologic analysis to identify the direction of surface runoff. The results obtained are as follows: the UGS remained more extensive compared with FAR, but the difference decreased over time owing to infrastructure development. Surface runoff has tended to flow toward the southeast in direct relation to the slope configuration.
Keywords :
Land Use Land Cover (LULC) , digital elevation model (DEM) , High-Resolution Remote-Sensing Data , University Campus
Journal title :
The Scientific World Journal