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Abstract


Analysis of Change Detection of Simulated Droughts and Floods of Water Bodies

Dinesh Sathyamoorthy
Research Officer
Sensor Branch
Instrumentation and Electronics Division
Science & Technology Research Institute for Defence (STRIDE)
Malaysia
dinsat60@hotmail.com



Change detection is the process of identifying differences in the state of an object or phenomenon by observing it at different times monitoring and managing natural resources and urban development because it provides quantitative analysis of the spatial distribution of the population of interest. In this paper, the characterization of regions of change of simulated droughts and floods of water bodies is performed. Power law relationships are observed between the areas of regions of change of simulated droughts/floods and the actual levels. These power law relationships arise as a consequence of the fractal properties of the regions of change of simulated droughts and floods of water bodies. The scaling exponent of these power laws, which is named as a fractal dimension, indicates the rate of variation of areas of regions of change of water bodies over varying levels of drought/flood. The identified regions of change are employed to compute two fundamental complexity measures of the simulated droughts and floods of water bodies; average area and average uncertainty. It is observed that simulated droughts have higher values of average size and average uncertainty as compared to simulated floods, as simulated droughts diverge from the self organized criticality, while simulated floods converge towards the self organized criticality.