Methodology & Results

To understand how top crop commodities were impacted in 2014, we wanted to assess the data with 2007s crop data and 2014s drought conditions. Since we are looking at data for two years with a 7 year difference, there can be a large variation in land use. Through comparisons of our data we found a large variation in crop data came from changes in agricultural plot lands. On the other hand, there was very little variation in drought conditions within the county for 2007 and 2014. 

From our spatial analysis we found that our crop data is statistically significant, whereas our drought data is not. Thus, by using a Normalized Difference Vegetation Index (NDVI) we are able to better incorporate drought conditions into our study. The NDVI acts as a supplement to our study and correlates crop health to drought conditions as captured through satellite images. 

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