Abstract
Regional plannin g and drought preparedness require an array of disparate pieces of information that have to be analyzed, evaluated and incorporated in the planning process. As our understanding will be formed about the reported events, we need to analyze the total natural hazards anticipated for the region with reference to the existing and planned developments and also calculate alternatives of mitigation prior to evaluation of the impact of the alternatives based on the economic and financial feasibility method. Assessment of drought requires information on various aspects from different sources such as meteorological and telecommunication satellites and ground based measurements on the land-use, soil moisture content, crop condition and natural vegetation over a large area in addition to spatial distribution of human habitat, instant resource availability for sharing, infra-structure facility etc. Parameters which are used in drought and mode of input are shown in Table 7.1. This chapter highlights the information types that are required in drought vulnerability analysis and its spatial analysis us ing GIS.
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References
Agterberg, F.P. (1974). Geomathematics. Elsevier, Amsterdam, pp. 596.
Crombley, R.G. (1984). Principal axis simplification. Computers and Geosciences, 18(8), pp. 1003–1012.
ESRI (1997a). ArcView Internet Map Server. Redlands, California, Environmental Systems Research Institute Inc.
ESRI (1997b). ArcYiew 3D Analyst. Redlands, California, Environmental Systems Research Institute Inc.
Huang, S., Jiang, B. and Li, H. (2001). An integration of GIS virtual reality and the Internet for visualization analysis and exploration of spatial data. International Journal Geographical Information Science, 15, pp. 439–456.
Isaac, E.H. and Srivastava, R.M. (1989). Applied Geo-statistics. Oxford University Press, New York-Oxford, 561 pp.
Kraak, M.J. and Ormlering, F.J. (1996). Cartography, visualization of spatial data. Harrow, London.
McCullah, M.J. (1988). Terrain and surface modelling systems, theory and practice, Photogrammetric Record, 12, pp. 747–779.
Raper, J. (2000). Multidimensional Information Science. Taylor and Francis, London.
Wilhite, D.A. (1996). A methodology for drought preparedness. Natural Hazards, 13, pp. 229–252.
Further Reading
Bonham-Carter, G.F. (1994). Geographic information systems for geoscientists — modeling with GIS. Pergamon, 398 pp.
Fabbri, A.G. (1984). Image processing of Geologic Data. Von Nostrand Reinhold, New York, pp. 244.
Singhal, S. and Zyada, M. (1999). Networked virtual environments: Design and implementation. ACM Press.
Satti, S.R. and Jacobs, J.M. (2004). A GIS-based model to estimate the regionally distributed drought demand. Agricultural Water Management, 66, pp. 1–13.
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Nagarajan, R. (2009). Spatial Data and Geographical Information System. In: Drought Assessment. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2500-5_7
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DOI: https://doi.org/10.1007/978-90-481-2500-5_7
Publisher Name: Springer, Dordrecht
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