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Carmelo Riccardo Fichera, Giuseppe Modica and Maurizio Pollino (2012) Land cover classification and change – detection analysis using multi-temporal remote sensed imagery and landscape metrics. Euro. Jour. Of Remote Sensing. V.45, pp. 1-18.

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Article

Geospatial Science for 16 Years of Variation in Land Use/Land Cover Practice Assessment around Salem District, South India

1Centre for Applied Geology, Gandhigram Rural Institute – Deemed University, Tamil Nadu, South India


Journal of Geosciences and Geomatics. 2014, Vol. 2 No. 1, 17-20
DOI: 10.12691/jgg-2-1-3
Copyright © 2014 Science and Education Publishing

Cite this paper:
P. Arulbalaji, B. Gurugnanam. Geospatial Science for 16 Years of Variation in Land Use/Land Cover Practice Assessment around Salem District, South India. Journal of Geosciences and Geomatics. 2014; 2(1):17-20. doi: 10.12691/jgg-2-1-3.

Correspondence to: P.  Arulbalaji, Centre for Applied Geology, Gandhigram Rural Institute – Deemed University, Tamil Nadu, South India. Email: arulbalajigeo@gmail.com

Abstract

The present study reveals that, to assess the Land use Land cover changes using remote sensing and GIS technology. The Land use/Land cover map prepared based on NRSC classification using ERDAS IMAGINE software using of supervised classification. Urbanization and development are the most crucial causes for land changes at the study area. The current scenario shows the socio-economic development but its affect the water resources, mineral wealth and ecosystems. The study finding shows that the maximum changes were noticed in Built-up-Land at central part of study area and near to down ship area. Other changes also were noticed in the study area and brought this spatial distribution.

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