Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool

Authors:
Sherri Harms;Tsegaye Tadesse;Brian Wardlow
Affiliations:
Department of Computer Science and Information Systems, University of Nebraska at Kearney, Kearney, USA;National Drought Mitigation Center, University of Nebraska - Lincoln, Lincoln, USA;National Drought Mitigation Center, University of Nebraska - Lincoln, Lincoln, USA
Venue:
DS '09 Proceedings of the 12th International Conference on Discovery Science
Year:
2009

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Abstract

The goal of the VegOut tool is to provide accurate early warning drought prediction. VegOut integrates climate, oceanic, and satellite-based vegetation indicators to identify historical patterns between drought and vegetation conditions indices and predict future vegetation conditions based on these patterns at multiple time steps (2, 4 and 6-week outlooks). This paper evaluates different sets of data mining techniques and various climatic indices for providing the improved prediction accuracy to the VegOut tool.