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    ASSESSING DROUGHT CONDITIONS BY ANALYZING NDVI WITH SENTINEL-2 IMAGERY USING GOOGLE EARTH ENGINE

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    MS-GIST_2022_Berg.pdf
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    Description:
    MS-GIST Report
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    Author
    Berg, Vladimir
    Issue Date
    2022
    Keywords
    Drought
    Remote Sensing
    Sentinel-2
    Advisor
    Sanchez-Trigueros, Fernando
    
    Metadata
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    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
    The Southwest arid region of the United States is facing an unprecedented ‘megadrought’ which has resulted in a water crisis that threatens agriculture production and natural ecosystems. To observe and analyze the consequence of a decline in water availability, Sentinel-2 Images were compiled and analyzed based on NDVI values. These trends were analyzed in the Yuma subcounty in the state of Arizona, which is a center for agricultural production. A time-series was made using the powerful Google Earth Engine (GEE), a free-to-use cloud computing service, which can compile hundreds of images over time for analysis. The time series created plots all average NDVI values from Sentinel-2 images for the study area between January 2019 and June 2022. Additionally, four images were extracted from GEE and analyzed in ArcGIS Pro. Utilizing ArcGIS Pro’s built in raster analysis tools, one image for each year (2019-2022) were modified to display and assess the differences in NDVI values between the images. Based on the time-series, it is evident that NDVI values are trending downwards, indicating a decline in vegetation health for the Yuma subcounty. Observing the individual images, it is also clear that NDVI values are declining across the region, although more data needs to be collected on the ground to confirm this reduced vegetative productivity. Further study can be done annually using the highly detailed Sentinel-2 images to assess the impacts of drought and to analyze what changes can be made to agricultural systems in specific plots that may not be viable with less water availability.
    Type
    Electronic Report
    text
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Geographic Information Systems Technology
    Degree Grantor
    University of Arizona
    Collections
    MS-GIST (Master's Reports)

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