Articles | Volume 7, issue 2
Solid Earth, 7, 341–354, 2016
Solid Earth, 7, 341–354, 2016

Research article 08 Mar 2016

Research article | 08 Mar 2016

Modeling the contributing factors of desertification and evaluating their relationships to the soil degradation process through geomatic techniques

P. Shoba and S. S. Ramakrishnan

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Cited articles

Abdul-Qadir, A. M. H. and Benni, T. J.: Monitoring and evaluation of soil salinity in term of spectral response using Landsat images and GIS in Mesopotamian plain/Iraq, Journal of Iraqi Desert Studies, 2, 19–32, 2010.
Adhikary, P. P., Dash, C. J., Sarangi, A., and Singh, D. K.: Hydrochemical characterization and spatial distribution of fluoride in groundwater of Delhi state, India, Indian J. Soil Conserv., 42, 170–173, 2014.
Akhtar-Schuster, M., Thomas, R. J., Stringer, L. C., Chasek, P., and Seely, M.: Improving the enabling environment to combat land degradation: Institutional, financial, legal and science-policy challenges and solutions, Land Degrad. Dev., 22, 299–312, 2011.
Allbed, A., Kumar, L., and Sinha, P.: Mapping and Modelling Spatial Variation in Soil Salinity in the Al Hassa Oasis Based on Remote Sensing Indicators and Regression Techniques, Remote Sens., 6, 1137–1157, 2014.
Anbazhagan, S., Palpandian, P., Jothibasu, A., Uma Maheswaran, S., Venkatesan, A., and Ramesh, V.: GIS spatial analysis for artificial recharge – a case study from drought prone area, in: Water Management – Historical Perspective and Development, edited by: Anbazhagan, S., Vasagan Publication, ISBN: 978-93-83188-01-7, 107–133, 2013.
Short summary
The paper systematically illustrates and identifies the causative factors of desertification processes through use of a geostatistical model. This paper also concentrates on studying and identifying the possible soil degradation processes which have been caused by prime factors. As such, this paper should be of interest to a broad readership including those interested in land degradation, environmental deterioration, desertification, remote sensing and geostatistical modeling.