Monitoring land use changes associated with urbanization: An object based image analysis approach

被引:52
作者
Samal, Dipak R. [1 ]
Gedam, Shirish S. [1 ]
机构
[1] Indian Inst Technol, Ctr Studies Resources Engn, Bombay 400076, Maharashtra, India
关键词
GIS; Upper Bhima basin; urbanization; object based image analysis; change matrix; COVER CHANGE DETECTION; REMOTELY-SENSED DATA; RADIOMETRIC CORRECTION; URBAN-ENVIRONMENT; TIME; CLASSIFICATION; CONSEQUENCES; ALGORITHMS; REGIONS; SENSORS;
D O I
10.5721/EuJRS20154806
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Land use/land cover (LULC) change occurs due to natural and anthropogenic causes. In developing countries, rapid industrialization and urbanization imposes a major threat to natural environment. Present study was carried out to monitor the LULC changes due to urbanization in a rapidly changing river basin, India. The purpose of choosing the river basin was to analyze past changes and predict possible consequences within a defined natural boundary. Multi-temporal images acquired from Landsat and Indian Remote Sensing (IRS) satellites between 1992-2009 as well as a digital elevation model was used to generate historical and current LULC pattern in the basin. An object based image analysis technique was employed for precise classification of multi-temporal images followed by GIS-based change detection studies. The study reveals that the built up area has increased significantly and added 288 km(2) between 1992 - 2009. Increase in built up area is attributed to decrease in wastelands and agricultural land. The expansion of built up area along major transportation networks, specifically after the year 2000 shows the rapid rate of urbanization in the basin.
引用
收藏
页码:85 / 99
页数:15
相关论文
共 40 条
[1]   Introduction to object-based landscape analysis [J].
Aplin, Paul ;
Smith, Geoffrey M. .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2011, 25 (06) :869-875
[2]  
Aydinoglu AC, 2010, RIV ITAL TELERILEVAM, V42, P27
[3]   Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers [J].
Ceccarelli, Tommaso ;
Smiraglia, Daniela ;
Bajocco, Sofia ;
Rinaldo, Simone ;
De Angelis, Antonella ;
Salvati, Luca ;
Perini, Luigi .
EUROPEAN JOURNAL OF REMOTE SENSING, 2013, 46 :699-717
[4]  
Chan JCW, 2001, PHOTOGRAMM ENG REM S, V67, P213
[5]   Consequences of changing biodiversity [J].
Chapin, FS ;
Zavaleta, ES ;
Eviner, VT ;
Naylor, RL ;
Vitousek, PM ;
Reynolds, HL ;
Hooper, DU ;
Lavorel, S ;
Sala, OE ;
Hobbie, SE ;
Mack, MC ;
Diaz, S .
NATURE, 2000, 405 (6783) :234-242
[6]   A simple and effective radiometric correction method to improve landscape change detection across sensors and across time [J].
Chen, XX ;
Vierling, L ;
Deering, D .
REMOTE SENSING OF ENVIRONMENT, 2005, 98 (01) :63-79
[7]   Digital change detection methods in ecosystem monitoring: a review [J].
Coppin, P ;
Jonckheere, I ;
Nackaerts, K ;
Muys, B ;
Lambin, E .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (09) :1565-1596
[8]   Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization [J].
Deng, Jin S. ;
Wang, Ke ;
Hong, Yang ;
Qi, Jia G. .
LANDSCAPE AND URBAN PLANNING, 2009, 92 (3-4) :187-198
[9]  
DES, 2010, DISTR SOC REV 2012 P
[10]  
Donnay J.P., 2001, Remote sensing and urban analysis