Monitoring Land Cover Changes in the Parts of East Cost of Tamil Nadu and Pondicherry Union Territory using Geospatial Technology
S. Kumaravel1, B. Gurugnanam2, M. Bagyaraj3, S. Venkatesan4, M. Suresh5, K. Dharanirajan6
1S.Kumaravel, Department of Earth Sciences, Annamalai University, Chidambaram (Tamil Nadu), India.
2B.Gurugnanam, Centre for Applied Geology, Gandhigram Rural Institute Deemed University, Dindigul (Tamil Nadu), India.
3M.Bagyaraj, Centre for Applied Geology, Gandhigram Rural Institute Deemed University, Dindigul (Tamil Nadu), India.
4S.Venkatesan, Centre for Applied Geology, Gandhigram Rural Institute Deemed University, Dindigul (Tamil Nadu), India.
5M.Suresh, Department of Geology, Periyar University, Salem (Tamil Nadu), India.
6K.Dharanirajan, Department of Coastal Disaster Management, Pondicherry University, Andhaman India.
Manuscript received on 12 March 2013 | Revised Manuscript received on 21 March 2013 | Manuscript Published on 30 March 2013 | PP: 237-240 | Volume-2 Issue-4, March 2013 | Retrieval Number: D0571032413/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Monitoring decade changes of land use / land cover using multi-temporal remotely sensed data provides an effective and accurate evaluation of human impact on the environment. Agriculture, tourism and industrial activities are the key elements of study area social structure and economy. The main objective of this study was to monitor land-cover changes in this area using multi-temporal Indian Remote Sensing Satellite data acquired in the year 2000 and 2011. Temporal changes were determined using supervised classification with limited field validation. The results showed that this area involves twelve land cover classes were built-up land, crop land, fallow land, plantation, land with/without scrub, sandy area, waste land and water bodies of canal, river; tank and water logged areas. During the study period, around 67% of land cover features were not changed. However, overlay analysis shows that land cover features of built-up land and crop land were increased their areal extent. Moreover, land use classes of fallow land and land without scrub was reduced their area of 11 from 14.61 and 2 from 2.86km2 respectively.
Keywords: Land Use /Land Cover, Change Detection, Satellite Remote Sensing, GIS, Supervised Classification,
Scope of the Article: Service Level Agreements (Drafting, Negotiation, Monitoring and Management)