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Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management

Author

Listed:
  • George P. Petropoulos

    (Department of Geography and Earth Sciences, University of Aberystwyth, Wales SY23 2DB, UK
    School of Mineral Resources Engineering, Technical University of Crete, 73100 Chania, Greece)

  • Prashant K. Srivastava

    (Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi 221005, India)

  • Maria Piles

    (Image Processing Lab (IPL), Universitat de València, 46980 València, Spain)

  • Simon Pearson

    (Lincoln Institute for Agri-Food Technology, The University of Lincoln, Lincoln LN6 7TS, UK)

Abstract

Global information on the spatio-temporal variation of parameters driving the Earth’s terrestrial water and energy cycles, such as evapotranspiration (ET) rates and surface soil moisture (SSM), is of key significance. The water and energy cycles underpin global food and water security and need to be fully understood as the climate changes. In the last few decades, Earth Observation (EO) technology has played an increasingly important role in determining both ET and SSM. This paper reviews the state of the art in the use specifically of operational EO of both ET and SSM estimates. We discuss the key technical and operational considerations to derive accurate estimates of those parameters from space. The review suggests significant progress has been made in the recent years in retrieving ET and SSM operationally; yet, further work is required to optimize parameter accuracy and to improve the operational capability of services developed using EO data. Emerging applications on which ET/SSM operational products may be included in the context specifically in relation to agriculture are also highlighted; the operational use of those operational products in such applications remains to be seen.

Suggested Citation

  • George P. Petropoulos & Prashant K. Srivastava & Maria Piles & Simon Pearson, 2018. "Earth Observation-Based Operational Estimation of Soil Moisture and Evapotranspiration for Agricultural Crops in Support of Sustainable Water Management," Sustainability, MDPI, vol. 10(1), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:1:p:181-:d:126721
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    References listed on IDEAS

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    5. Prashant K. Srivastava, 2017. "Satellite Soil Moisture: Review of Theory and Applications in Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 3161-3176, August.
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    Cited by:

    1. Prashant K. Srivastava & Prem C. Pandey & George P. Petropoulos & Nektarios N. Kourgialas & Varsha Pandey & Ujjwal Singh, 2019. "GIS and Remote Sensing Aided Information for Soil Moisture Estimation: A Comparative Study of Interpolation Techniques," Resources, MDPI, vol. 8(2), pages 1-17, April.
    2. Renata Duffková & Jiří Holub & Petr Fučík & Jaroslav Rožnovský & Ivan Novotný, 2019. "Long-Term Water Balance of Selected Field Crops in Different Agricultural Regions of the Czech Republic Using Fao-56 and Soil Hydrological Approaches," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    3. Dileep Kumar Gupta & Prashant K. Srivastava & Ankita Singh & George P. Petropoulos & Nikolaos Stathopoulos & Rajendra Prasad, 2021. "SMAP Soil Moisture Product Assessment over Wales, U.K., Using Observations from the WSMN Ground Monitoring Network," Sustainability, MDPI, vol. 13(11), pages 1-18, May.

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