Techniques in Drought Monitoring Featuring Central Valley, CA
Publisher
The University of Arizona.Rights
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.Collection Information
This item is part of the MS-GIST Master's Reports collection. For more information about items in this collection, please contact the UA Campus Repository at repository@u.library.arizona.edu.Abstract
Central 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.Type
Electronic Reporttext