Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area

被引:229
作者
As-Syakur, Abd. Rahman [1 ]
Adnyana, I. Wayan Sandi [1 ,2 ]
Arthana, I. Wayan [1 ]
Nuarsa, I. Wayan [1 ,2 ]
机构
[1] Udayana Univ, Environm Res Ctr PPLH, Denpasar 80232, Bali, Indonesia
[2] Udayana Univ, Fac Agr, Bali 80361, Indonesia
来源
REMOTE SENSING | 2012年 / 4卷 / 10期
关键词
Enhanced Built-Up and Bareness Index; NIR; SWIR; TIR; SPATIAL-RESOLUTION; SATELLITE IMAGERY; CLASSIFICATION; VEGETATION; SURFACE;
D O I
10.3390/rs4102957
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Remotely sensed imagery is a type of data that is compatible with the monitoring and mapping of changes in built-up and bare land within urban areas as the impacts of population growth and urbanisation increase. The application of currently available remote sensing indices, however, has some limitations with respect to distinguishing built-up and bare land in urban areas. In this study, a new index for transforming remote sensing data for mapping built-up and bare land areas is proposed. The Enhanced Built-Up and Bareness Index (EBBI) is able to map built-up and bare land areas using a single calculation. The EBBI is the first built-up and bare land index that applies near infrared (NIR), short wave infrared (SWIR), and thermal infrared (TIR) channels simultaneously. This new index was applied to distinguish built-up and bare land areas in Denpasar (Bali, Indonesia) and had a high accuracy level when compared to existing indices. The EBBI was more effective at discriminating built-up and bare land areas and at increasing the accuracy of the built-up density percentage than five other indices.
引用
收藏
页码:2957 / 2970
页数:14
相关论文
共 30 条
[1]   Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature [J].
Aldrian, E ;
Susanto, RD .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2003, 23 (12) :1435-1452
[2]   Comparison of TRMM multisatellite precipitation analysis (TMPA) products and daily-monthly gauge data over Bali [J].
As-Syakur, A. R. ;
Tanaka, T. ;
Prasetia, R. ;
Swardika, I. K. ;
Kasa, I. W. .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (24) :8969-8982
[3]  
As-Syakur A R, 2010, JURNAL BUMI LESTARI, V10, P200
[4]   Medium Spatial Resolution Satellite Imagery to Estimate Gross Primary Production in an Urban Area [J].
As-syakur, A. Rahman ;
Osawa, Takahiro ;
Adnyana, I. Wayan S. .
REMOTE SENSING, 2010, 2 (06) :1496-1507
[5]  
BPS, 2011, DENP DAL ANGK 2010
[6]   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
[7]   NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space [J].
Gao, BC .
REMOTE SENSING OF ENVIRONMENT, 1996, 58 (03) :257-266
[8]  
Gers C.J., 2003, RELATING REMOTELY SE
[9]   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
[10]   Spectrometry for urban area remote sensing - Development and analysis of a spectral library from 350 to 2400 nm [J].
Herold, M ;
Roberts, DA ;
Gardner, ME ;
Dennison, PE .
REMOTE SENSING OF ENVIRONMENT, 2004, 91 (3-4) :304-319