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PublisherThe University of Arizona.
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AbstractCentral Valley, California, is one of the largest producers of agricultural products in the United States; however, with its on-going drought conditions, farmers have difficulty maintaining yields with a sparse water supply. California has always gone through cyclic droughts, and with remote sensing, these droughts can be investigated to see how they impact the California agribusiness. This project investigates techniques to analyze drought conditions in the agricultural regions of the Central Valley by utilizing imagery analysis through USGS Earth Explorer and manipulating the data in ArcGIS Pro. This project explores change detection between seasons as well as methods that include indices such as the Normalized Difference Vegetation Index and Normalized Difference Moisture Index to see how well these procedures accurately depict drought conditions in the Central Valley. Indices are calculated by plugging formulas into the raster calculator function to highlight the ranges within an area indicating drought conditions. Change detection was performed to compare seasons and years to identify changes affected by the drought. The results show how effective change detection analysis is over the 7-year period, and if the normalized difference indices helped with identifying areas where agriculture suffered the most.