Monitoring the Built-up Area Transformation Using Urban Index and Normalized Difference Built-up Index Analysis

被引:13
作者
Ali, M. Ichsan [1 ]
Hasim, A. Hafid [1 ]
Abidin, M. Raiz [2 ]
机构
[1] Univ Negeri Makassar, Dept Civil & Planning, Makassar, South Sulawesi, Indonesia
[2] Univ Negeri Makassar, Dept Geog, Makassar, South Sulawesi, Indonesia
来源
INTERNATIONAL JOURNAL OF ENGINEERING | 2019年 / 32卷 / 05期
关键词
Geographic Information System; Landsat OLI 8; Land Use; Remote Sensing; BARENESS INDEX; LAND; MAP;
D O I
10.5829/ije.2019.32.05b.04
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Makassar is one of the metropolitan cities located in Indonesia which recently experiences massive an increased construction because of population growth. Mapping the spatial distribution and development of the built-up region is the best method that can use as an indicator to set the urban planning policy. The purpose of this study is to identify changes in land use and density in Makassar City that occurred in 2013 and 2017 primarily for built areas, including settlements using optical data, especially Landsat data. The data analyzed by using multi-temporal Landsat OLI 8 data taken from 2013 to 2017. Normalized Difference Built-Up Index (NDBI), Urban Index (UI) and Normalized Difference Vegetation Index (NDVI) are the spectral indices produced from Landsat OLI band covering Short Wave Infrared (SWIR) wavelength, visible Red (R) and Near Infrared (NIR) areas that can be revealed by examining changes in land use and area cover. The result shows that both spectral indices namely NDBI and UI indicate an increased built-up area approximately 18 and 6%, respectively over four years. Also, based on NDBI reveals that most an increased built-up area distributes in the north of Makassar (Biringkanaya sub-district), meanwhile UI shows that Biringkanaya and Manggala sub-districts experience an increased built-up area. The development of the city will also never be separated from the history of city growth, current conditions, and the growth of the town to come. The phenomenon of the development of the town will include the development of city elements in detail, aspects of the shape of the town and the development of city regulations.
引用
收藏
页码:647 / 653
页数:7
相关论文
共 28 条
[1]   Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area [J].
As-Syakur, Abd. Rahman ;
Adnyana, I. Wayan Sandi ;
Arthana, I. Wayan ;
Nuarsa, I. Wayan .
REMOTE SENSING, 2012, 4 (10) :2957-2970
[2]  
Barnes K.B., 2001, Sprawl development: its patterns, consequences, and measurement, P1
[3]   Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes [J].
Chen, Xiao-Ling ;
Zhao, Hong-Mei ;
Li, Ping-Xiang ;
Yin, Zhi-Yong .
REMOTE SENSING OF ENVIRONMENT, 2006, 104 (02) :133-146
[4]   A REVIEW OF ASSESSING THE ACCURACY OF CLASSIFICATIONS OF REMOTELY SENSED DATA [J].
CONGALTON, RG .
REMOTE SENSING OF ENVIRONMENT, 1991, 37 (01) :35-46
[5]   Estimating solar radiation and developing Iran's atlas map of optimum monthly tilt angle [J].
DolatiAsl K. ;
Bakhshan Y. .
International Journal of Engineering, Transactions B: Applications, 2017, 30 (08) :1197-1204
[6]   Impacts of urban biophysical composition on land surface temperature in urban heat island clusters [J].
Guo, Guanhua ;
Wu, Zhifeng ;
Xiao, Rongbo ;
Chen, Yingbiao ;
Liu, Xiaonan ;
Zhang, Xiaoshi .
LANDSCAPE AND URBAN PLANNING, 2015, 135 :1-10
[7]   Improving the normalized difference built-up index to map urban built-up areas using a semiautomatic segmentation approach [J].
He, Chunyang ;
Shi, Peijun ;
Xie, Dingyong ;
Zhao, Yuanyuan .
REMOTE SENSING LETTERS, 2010, 1 (04) :213-221
[8]   Overview of the radiometric and biophysical performance of the MODIS vegetation indices [J].
Huete, A ;
Didan, K ;
Miura, T ;
Rodriguez, EP ;
Gao, X ;
Ferreira, LG .
REMOTE SENSING OF ENVIRONMENT, 2002, 83 (1-2) :195-213
[9]  
Irons J., 2012, Remote Sensing of Environment, P1
[10]  
Kawamura M., 1996, Int. Arch., Photogrammetry. Remot Sensing, V31, P321