AGRICULTURAL DROUGHT RISK ASSESSMENT USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM

  • Narongrit, Chada (Faculty of Agriculture, Natural Resource and Environment, Naresuan University) ;
  • Yeesoonsang, Seesai (Faculty of Agriculture, Natural Resource and Environment, Naresuan University)
  • Published : 2003.11.03

Abstract

The 4 sets of environmental variables dealing with meteorology, hydrology and physiography were analyzed to generate a spatial drought risk index of Phitsanulok province of Thailand. The analysis of K-mean and discriminant were applied to the set of the selective drought variables for grouping each of spatial variable set into 4 classes. The obtained 4 classes, based on group statistics, were thus recoded in the meaning of no risk, low risk, moderate risk, and high risk. The regression coefficient between recoded classes and a set of the selective environmental variables were then applied as spatial variable weighting on thematic dataset in GIS spatial analysis. The results showed that the weighting score of drought variable was highest in meteorological variable compared to other variables.

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