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    Monitoring Agricultural Water Use Using High-Resolution Remote Sensing Technologies

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    Name:
    Bruno Jose Luis Aragon Solorio_Dissertation.pdf
    Size:
    8.364Mb
    Format:
    PDF
    Description:
    Bruno Jose Luis Aragon Solorio Dissertation
    Embargo End Date:
    2022-02-17
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    Type
    Dissertation
    Authors
    Aragon Solorio, Bruno Jose Luis cc
    Advisors
    McCabe, Matthew cc
    Committee members
    Hong, Pei-Ying cc
    Jones, Burton cc
    Miralles, Diego G. cc
    Program
    Environmental Science and Engineering
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Date
    2021-02
    Embargo End Date
    2022-02-17
    Permanent link to this record
    http://hdl.handle.net/10754/667492
    
    Metadata
    Show full item record
    Access Restrictions
    At the time of archiving, the student author of this dissertation opted to temporarily restrict access to it. The full text of this dissertation will become available to the public after the expiration of the embargo on 2022-02-17.
    Abstract
    Over the coming decades, both food consumption and agricultural water use are expected to increase in response to growing populations. In light of these concerns, there has been a growing awareness and appreciation of the objectives of agricultural sustainability, which has the broad aim of securing food and water resources, without adversely affecting the environment or disenfranchising future generations. To ensure that irrigated fields optimize their water use towards a more sustainable application while remaining compliant with any imposed restrictions on access to water supplies (i.e. through water licensing), it is necessary to understand and quantify the water consumption of crops at appropriate spatial and temporal scales. Evaporation (E), also commonly referred to as evapotranspiration (ET), is the physical process of water vapor transport from the surface into the atmosphere. Evaporation can be estimated via interpretive modeling approaches that combine meteorological, radiative, vegetation, and other related properties to estimate land surface fluxes at any given time. The research presented herein aims to investigate the evaporative response of agricultural croplands across a range of spatial and temporal scales, with a focus on high-resolution and field-scale estimation. In particular, we explore the utility of novel CubeSat imagery to produce the highest spatial resolution (3 m) crop water use estimates ever retrieved from space. These high-resolution results are expanded through time by retrieving a daily evaporation product, offering an enhanced capacity to provide new insights into precision agriculture. The effects and implications of higher spatiotemporal resolutions are explored and contrasted against governmental satellite missions that operate at lower resolutions. An exploratory study on the use of unmanned aerial vehicles (UAVs) is also performed, specifically in the context of their capacity to mount miniaturized thermal sensors: with the accuracy and limitations of these sensors for deriving evaporation-type products examined. The overarching goal of this research is to advance the utility of space-based estimates of evaporation for precision agricultural applications, and to provide new high-spatial and temporal agricultural insights that can be directed towards improving water management and address food security concerns in a more sustainable manner.
    Citation
    Aragon Solorio, B. J. L. (2021). Monitoring Agricultural Water Use Using High-Resolution Remote Sensing Technologies. KAUST Research Repository. https://doi.org/10.25781/KAUST-R1SJ8
    DOI
    10.25781/KAUST-R1SJ8
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-R1SJ8
    Scopus Count
    Collections
    Biological and Environmental Sciences and Engineering (BESE) Division; Environmental Science and Engineering Program; Dissertations

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