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Remotely Sensed Methodologies for Crop Water Availability and Requirements in Precision Farming of Vulnerable Agriculture

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  • Nicolas R. Dalezios

    (University of Thessaly
    Agricultural University of Athens)

  • Nicholas Dercas

    (Agricultural University of Athens)

  • Nicos V. Spyropoulos

    (SIGMA Geotechnologie)

  • Emmanouil Psomiadis

    (Agricultural University of Athens)

Abstract

Agriculture is mainly impacted by water availability. Differences in climate conditions and the appearance of severe events, like droughts, has a significant imprint on local, regional and global agricultural productivity. The goal of this paper is to present remotely sensed approaches for water availability and requirements in vulnerable agriculture. Earth Observation (EO) data contribute to precision agriculture for efficient crop monitoring and irrigation management. A drought susceptible region considered as vulnerable farming was chosen, in the Thessaly prefecture in Central Greece. Water availability is measured by means of precipitation frequency examination and drought estimation. Crop water requirements are measured by assessing crop evapotranspiration (ET) with the synergistic use of WV-2 satellite images and ground-truth data. The remote-based ETcsat is assessed by utilizing the reference ETo derived from Food and Agriculture Organization (FAO) methodology, while the meteorological data and Kc are evolved from Normalized Difference Vegetation Index (NDVI). According to the rainfall frequency studies, indicators demonstrate a significant precipitation decrease. The results reveal the importance of water availability estimation for facing agriculture water needs and the necessity for monitoring of drought conditions in a vulnerable Mediterranean area in order to plan an integrated strategy for climate adaptation. Moreover, the conclusions clarify the usefulness of collaborating innovative very high spatial and sperctral resolution EO images along with ground-truth data for crop ET monitoring and also the assimilation into the precision agriculture methodology which is valuable for optimal agricultural production.

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  • Nicolas R. Dalezios & Nicholas Dercas & Nicos V. Spyropoulos & Emmanouil Psomiadis, 2019. "Remotely Sensed Methodologies for Crop Water Availability and Requirements in Precision Farming of Vulnerable Agriculture," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1499-1519, March.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:4:d:10.1007_s11269-018-2161-8
    DOI: 10.1007/s11269-018-2161-8
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    References listed on IDEAS

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    1. Thenkabail, Prasad Srinivas & Gamage, M. S. D. Nilantha & Smakhtin, Vladimir U., 2004. "The use of remote sensing data for drought assessment and monitoring in southwest Asia," IWMI Research Reports H035615, International Water Management Institute.
    2. G. Tsakiris & D. Pangalou & H. Vangelis, 2007. "Regional Drought Assessment Based on the Reconnaissance Drought Index (RDI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 821-833, May.
    3. Hansen, James W., 2002. "Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges," Agricultural Systems, Elsevier, vol. 74(3), pages 309-330, December.
    4. Nicolas R. Dalezios & Nicholas Dercas & Seyed Saeid Eslamian, 2018. "Water scarcity management: part 2: satellite-based composite drought analysis," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 17(2/3), pages 262-295.
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    1. Luca Preite & Federico Solari & Giuseppe Vignali, 2023. "Technologies to Optimize the Water Consumption in Agriculture: A Systematic Review," Sustainability, MDPI, vol. 15(7), pages 1-28, March.
    2. Changchun Xu & Xicheng Zhang & Jinxia Zhang & Yapeng Chen & Teshome L. Yami & Yang Hong, 2021. "Estimation of Crop Water Requirement Based on Planting Structure Extraction from Multi-Temporal MODIS EVI," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2231-2247, May.
    3. Reza Zamani & Ali Mohammad Akhond Ali & Abbas Roozbahani, 2020. "Evaluation of Adaptation Scenarios for Climate Change Impacts on Agricultural Water Allocation Using Fuzzy MCDM Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 1093-1110, February.

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