American Journal of Geophysics, Geochemistry and Geosystems
Articles Information
American Journal of Geophysics, Geochemistry and Geosystems, Vol.1, No.2, Jun. 2015, Pub. Date: Jun. 13, 2015
Land Use and Land Cover Change of Salem City in Tamilnadu, India Using Remote Sensing and GIS
Pages: 37-51 Views: 3433 Downloads: 3079
[01] Tamilenthi S., Dept. of Geography, Kalinga University, Raipur, India.
[02] Arul P., Dept. of Geography, Govt. Arts College (Auto), Salem, India.
There has been rapid change in the land use and land-cover types in Salem city in Tamilnadu, India in the past 37 years. The major change is the conversion of agriculture and forest lands into urban areas mostly in an un-planned manner making urban sprawl characterizing the urban change dynamics. Land use change has been the reason for many social, economic and environmental problems in Salem city, the capital city of Salem district over the past decades. This has engaged the researchers to find out possible measures to address and monitor this phenomenon. The principal aim of this research was to apply remotely sensed data, geospatial tools to detect, quantify, analyze and detect the urban land use changes of Salem city. Salem is a city is bound between the latitude 11° 39 ` to 11° 65`N and longitude 78° 16` to 78° 9`E. It covers an aerial extent of 12 4 sqkm. The ultimate objective of the research is to detect the land use/land-cover change of Salem city from 1973 to 2010. Satellite images of Salem city at different periods, 1973 and 2010 were analysed. The software programs that have been used in this study to process, quantify, analyze and change detection are ArcGIS 9.2, ArcMap and ERADAS 9.3.The change detection procedure, however it was able to identify the areas of significant change. The seasonal variations of two satellite images used in the analysis affected the spectral resolution which subsequently affected the change detection process. Because of the variation of the temporal resolution and other environmental factors, the same land cover class can have different radiance values between the images. Post-classification comparison change detection was conducted to reveal the areas that have changed over the period of 37 years. In this method, the from-to-change informational classes were available. The results revealed drastic growth of urban areas and reduction of Barren Rocky Surface, Fallow land, Crop & Plantation, Land with Shrub and River.
Urban Change, Urban Sprawl, Land Use & Land Cover and Salem City
[01] Adeniyi P.O and Omojola A. (1999) Landuse landcover change evaluation in Sokoto –Rima Basin of North Western Nigeria based on Archival of the Environment (AARSE) on Geo information Technology Applications for Resource and Environmental Management in Africa. 143-172.
[02] Barr, S. L. (1992). Object-based Re-classification of High Resolution Digital Imagery for Urban Land-Use Monitoring. International Archives of Photo-grammetry and Remote Sensing (ISPRS, Washington, D.C.1992). Vol. XXIX, Part B7, Commission VII, 969- 76.
[03] Barnsley, M.J., Barr, S. L., and Sadler, G. J. (1991) Spatial Re- classification of Remote Sensed Images for Urban Land Use Monitoring. Proc. Spatial Data 2000, 17-20 September1991, Oxford University, (Nottingham: Remote Sensing Society), 106-117.
[04] Campbell, James B (1983) "Mapping the Land Aerial Imagery for Land Use Information" Resource Publications in Geography, Association of American Geographers, Washington D.C.
[06] Olorunfemi J.F (1983). Monitoring Urban Land – Use in Developed Countries – An aerial photographic approach, Environmental Int.9,27 – 32.
[07] Tonjes, R., Growe S., Bucker J. and Liedtke C.–E. (1999).Knowledge-Based Interpretation of Remote Sensing Images Using Semantic Nets. Photogrammetric Engineering & Remote Sensing, 65, 811-821.
[08] White house, S. (1990). A spatial land use classification of an urban environment using high resolution multispectral satellite data.Proc.16th Ann. Conf. Remote Sensing Society, Remote Sensing and Global Change, University Collage Swansea,19-21September 1990,(Nottingham: Remote Sensing Society), 433-437.
[09] Welch, R., (1982). Spatial resolution requirements for urbans studies. International Journal of Remote sensing, 3(2): 139-146.
[10] Yikalo H. Araya and Pedro Cabral (2010) Analysis and Modeling of Urban Land Cover Change in Setúbal and Sesimbra, Portugal, Remote Sensing, 2010, 2, 1549-1563.(
[11] Young, Anthony, Feb. (1994), Towards an international classification of land use, Consultancy report to UNEP/FAO, page 6.from URL: http://www. landuse/docs/ young 1994. doc.
[12] Yuan, D., and Elvidge, C. (1998). NALC land cover change detection pilot study: Washington D.C. area experiments. Remote Sensing of Environment, 66, 166-178.
MA 02210, USA
AIS is an academia-oriented and non-commercial institute aiming at providing users with a way to quickly and easily get the academic and scientific information.
Copyright © 2014 - American Institute of Science except certain content provided by third parties.