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Spatiotemporal Land Use Patterns in Urbanization
Purini Kalyani , P.Govindarajulu
Pages - 17 - 26     |    Revised - 15-09-2012     |    Published - 25-10-2012
Volume - 2   Issue - 2    |    Publication Date - December 2012  Table of Contents
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KEYWORDS
Geographic Information Systems, Remote Sensing, Spatio-Temporal Patterns of Urbanization, Land Use Change, Spatial pattern Analysis, Urban Planning
ABSTRACT
Urban planning was very much a design and engineering exercise with the state as a single stake holder. Mega cities with millions of population, which has undergone a series of physical as well as socio-economic changes over the last 60 years. These for in different areas of India, new planning approaches require the need to understand the complicated urban land development process. GIS- Geographic Information System and remote sensing provide the advance techniques and methods for studying urban land development and assist urban planning. This research survey firstly describes the urban expansion process till now and land use changes in the inner city.
CITED BY (1)  
1 Kalyani, P., & Govindarajulu, P. (2013). Spatiotemporal Analysis Using Remote Sensing Data. International Journal of Computer Science and Network Security (IJCSNS), 13(12), 28.
1 Google Scholar 
2 CiteSeerX 
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4 SlideShare 
5 PdfSR 
1 Abelen, S. (2010). Development of a user interface for optimizing urban area classification from Landsat data. Unpublished Master thesis, Technical University Munich;p. 111.
2 Abelen, S., Taubenböck, H., & Stilla, U. (2011). Interactive classification of urban areas using decision trees. In U. Stilla, P. Gamba, C. Juergens, & D. Maktav (Eds.), JURSE 2011 – Joint Urban Remote Sensing Event –Munich, Germany, April 11–13 (pp. 373–376).
3 Bartholome, E., & Belward, A. S. (2005). GLC2000: A new approach to global landcover mapping from Earth observation data. International Journal of Remote Sensing, 26(pp. 1959–1977).
4 Chakrabati, P. G. D. (2001). Urban crisis in India: new initiatives for sustainable cities.Development in Practice, 11(2–3), 260–272.
5 Dell'Acqua, F. (2009). The role of SAR sensors. In P. Gamba, & M. Herold (Eds.), Global mapping of human settlements: Experiences, data sets, and prospects (pp. 209–319).Boca Raton: Taylor and Francis
6 Dong, Y., Forster, B., & Ticehurst, C. (1997). Radar backscatter analysis for urban environments. International Journal of Remote Sensing, 18(6), 1351–1364.
7 Elvidge, C., Imhoff, M. L., Baugh, K. E., Hobson, V. R., Nelson, I., Safran, J., et al.(2001).Nighttime lights of the world: 1994–95. ISPRS Journal of Photogrammetry and Remote Sensing, 56, 81–99.
8 Esch, T., Thiel, M., Schenk, A., Roth, A., Mehl, H., & Dech, S. (2010, Feb.). Delineation of urban footprints from TerraSAR-X data by analyzing speckle characteristics and intensity information. IEEE Transactions on Geoscience and Remote Sensing,48(2), 905–916.
9 Forster, B. (1983). Some urban measurements from Landsat data. Photogrammetric Engineering and Remote Sensing, 49, 1293–1707.
10 Forster, B. C. (1985).An examination of some problemsand solutions inmonitoring urban areas from satellite platforms. International Journal of Remote Sensing, 6, 139–151.
11 H.Taubenbock,T.Esch,A.Felbier,M.Wiesner,A.Roth,,S.Dech(2012):Monitoring Urbanization inMegacities from space.remote sensing of Environment,117,162-176.
12 Maktav, D., & Erbek, F. S. (2005). Analyse of urban growth using multitemporal satellite data in _Istanbul, Turkey. International Journal of Remote Sensing,26(4).International Journal of Remote Sensing,26(4).
13 Münchner Rück (2005). Megastädte – Megarisiken. Trends und Herausforderungen für Versicherung und Risikomanagement.
14 Potere, D., & Schneider, A. (2009). Comparison of global urban maps. In P. Gamba, &M.Herold (Eds.), Global mapping of human settlements: Experiences, data sets, and prospects (pp. 269–308). Taylor & Francis Group.
15 Potere, D., Schneider, A., Angel, S., & Civco, D. L. (2009). Mapping urban areas on a global scale: Which of the eight maps now available is more accurate? International Journal of Remote Sensing, 30(24), 6531–6558.
16 Schneider, A., Friedl, M., & Woodcock, C. (2005). Mapping urban areas by fusing multiplesources of coarse resolution remotely sensed data: Global results. Proc. 5th int.symp.of remote sensing of urban areas (Tempe, AZ, March 2005).
17 Small, C. (2003). High spatial resolution spectral mixture analysis of urban reflectance.RemoteSensing of Environment, Volume 88, Issues 1–2. (pp. 170–186).
18 Small, C. (2005). A global analysis of urban reflectance. International Journal of RemoteSensing, 26:4. (pp. 661–681)
19 Taubenböck, H. (2008). Vulnerabilitätsabschätzung derMegacity Istanbulmit Methoden der Fernerkundung. Ph.D. thesis. University ofWürzburg; p. 178. ISBN-10: 3639083180
20 Taubenböck, H., Pengler, I., Schwaiger, B., Cypra, S., Hiete, M., & Roth, A. (2007). A multiscale urban analysis of the Hyderabad Metropolitan area using remotesensing and GIS (p.6). Urban remotesensing jointevent,Paris,France.
21 Taubenböck, H., Wegmann, M., Roth, A., Mehl, H., & Dech, S. (2009). Urbanization in India — Spatiotemporal analysis using remote sensing data. Computers, Environment and Urban Systems, 33, 179–188.
22 United Nations, 2009, World Urbanization Prospects, The 2009 Revision, NewYork.
23 United Nations, 2005, World Urbanization Prospects, The 2005 Revision, NewYork.
24 United Nations, 2007, World Urbanization Prospects, The 2007 Revision, NewYork.
25 Weng, Q., & Liu, D. (2007). Subpixel analysis of urban landscapes. Urban remote sensing:CRC Press.
Mr. Purini Kalyani
Priyadharsini College Of Engineering - India
kalyani.purini@gmail.com
Dr. P.Govindarajulu
S.V. University Tirupati - India