Application of High-Resolution Remote-Sensing Data for Land Use Land Cover Mapping of University Campus

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 p...

Full description

Saved in:
Bibliographic Details
Published in:TheScientificWorld 2021, Vol.2021, p.1-17
Main Authors: Dharmawan, Irwan Ary, Rahadianto, Muhammad Ario Eko, Henry, Edward, Endyana, Cipta, Aufaristama, Muhammad
Format: Article
Language:English
Subjects:
Artificial satellites in remote sensing
Buildings
Classification
College campuses
Digital Elevation Models
Green infrastructure
High resolution
Hydrological analysis
Hydrology
Image resolution
Indonesia
Interferometric synthetic aperture radar
Land cover
Land use
Normalized difference vegetative index
Open spaces
Remote sensing
Runoff
Satellite imagery
Surface runoff
Synthetic aperture radar
Urban planning
Vegetation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2021/5519011