Abstract—International Convention to Combat
Desertification (CCD) defines desertification as “land
degradation in arid, semi-arid and dry sub-humid areas
resulting from various factors, including climate variations and
human activities”. Desertification is a self-accelerating process,
with exponentially rising rehabilitation costs. Biophysical,
climatological and socio-economical parameters need to be
integrated for analysis. Remote sensing is an effective
monitoring technique due to temporal and synoptic data.
Current work aims at integrating various parameters
influencing desertification process for estimation of qualitative
desertification severity using GIS. Proposed method uses
satellite data as basic input along with climatic, terrain and
demographic data. Weightage-driven approach is used for
evaluating desertification severity map using regression
analysis using field data. Remote sensing based indicators have
high weightages as compared to ancillary data. The areas under
medium to high severity classes are stressing the need of
continuous monitoring and mitigation measures.
Index Terms—Desertification, regression analysis, remote sensing and GIS, severity index, weightage driven approach.
Khire M. V. and Agarwadkar Y. Y. are with the Centre of Studies in Resources Engineering, Indian institute of Technology Bombay, Powai, Mumbai, India 400076 (e-mail: email@example.com; firstname.lastname@example.org).
Cite:M. V. Khire and Y. Y. Agarwadkar, "Qualitative Analysis of Extent and Severity of Desertification for Semi-Arid Regions Using Remote Sensing Techniques," International Journal of Environmental Science and Development vol. 5, no. 3, pp. 238-243, 2014.