IDEAS home Printed from https://ideas.repec.org/a/igg/jagr00/v13y2022i1p1-20.html
   My bibliography  Save this article

Assessment of Drought Using Earth Observation Data and Cloud Computing in Morocco for 2010-2020

Author

Listed:
  • Hibatoullah Laachrate

    (Ben M'sik Faculty of Sciences (FSBM), Hassan II University, Morocco)

  • Abdelhamid Fadil

    (Hassania School of Public Works (EHTP), Morocco)

Abstract

Drought is an extreme event that has hit several countries in the world including Morocco. The aim of this research was to assess drought in Morocco with a view to providing information for planning and management of droughts. For this, three drought indices were chosen: Combined Drought Indicator (CDI), Soil Moisture Agricultural Drought Index (SMADI), and Microwave Integrated Drought Index (MIDI). Drought monitor was done during the growing seasons of 2010-2020 using Earth Observation data and cloud computing with the mapping of the drought indices and their inter-comparing via Pearson correlation. The main drought events were tracked and drought characteristics analyzed. Seven drought years were tracked for regions of cereal production. CDI and MIDI were very well correlated, whereas SMADI showed poor correlation with CDI and MIDI. Validation of results was done by comparing our results with another study for the 2015-2016 drought event and comparing yearly precipitation with the long-term average. An Earth Engine App of the three indices was published to make public drought maps.

Suggested Citation

  • Hibatoullah Laachrate & Abdelhamid Fadil, 2022. "Assessment of Drought Using Earth Observation Data and Cloud Computing in Morocco for 2010-2020," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 13(1), pages 1-20, January.
  • Handle: RePEc:igg:jagr00:v:13:y:2022:i:1:p:1-20
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAGR.298260
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jagr00:v:13:y:2022:i:1:p:1-20. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.