IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i4p1830-d1861955.html

Remote Sensing Data for Estimating Groundwater Recharge: A Systematic Review

Author

Listed:
  • Thaise Suanne Guimarães Ferreira

    (Technology Center, Federal University of Pernambuco, Caruaru 55014-900, Brazil)

  • José Almir Cirilo

    (Technology Center, Federal University of Pernambuco, Caruaru 55014-900, Brazil)

Abstract

This study aims to systematically review the existing literature on the use of data derived from remote sensing products to estimate groundwater recharge. The terms “recharge”, “remote sensing product data”, “remote sensing data”, “groundwater”, and “recharge estimation” were used as keywords in the Web of Science and Scopus databases. A total of 27 articles were analyzed, highlighting the use of different precipitation and evapotranspiration products for estimating potential recharge. This review emphasizes the potential of products such as CHIRPS and TRMM for precipitation and MODIS for evapotranspiration, as well as other remote sensing datasets that have shown good performance in their applications. The studies demonstrate the high feasibility of applying remote sensing to estimate groundwater recharge and indicate how its use can enhance the quality and reliability of the results obtained.

Suggested Citation

  • Thaise Suanne Guimarães Ferreira & José Almir Cirilo, 2026. "Remote Sensing Data for Estimating Groundwater Recharge: A Systematic Review," Sustainability, MDPI, vol. 18(4), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:18:y:2026:i:4:p:1830-:d:1861955
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/4/1830/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/18/4/1830/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:18:y:2026:i:4:p:1830-:d:1861955. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.