IDEAS home Printed from https://ideas.repec.org/h/ito/pchaps/212038.html
   My bibliography  Save this book chapter

Use of Geoinformatics Techniques for the Assessment and Mapping of Soil Salinity: Concepts and Applications

In: Natural Resources Management and Biological Sciences

Author

Listed:
  • Olumuyiwa Idowu Ojo
  • Masengo Francois Ilunga

Abstract

Irrigated agriculture has a major impact on the environment, especially soil degradation. Soil salinity is a critical environmental problem, which has great impact on soil fertility and overall agricultural productivity. Since, soil salinity processes are highly dynamic, the methods of detecting soil salinity hazards should also be dynamic. Remote sensing data are modern tools that provide information on variation over time essential for environmental monitoring and change detection, as they also help in the reduction of conventional time-consuming and expensive field sampling methods, which is the traditional method of monitoring and assessment. This chapter thus reviewed the concepts and applications of remote sensing, GIS-assisted spatial analysis and modelling of the salinity issue in irrigation fields. Generally, compared to the labour, time and money invested in field work devoted to collecting soil salinity data and analysis, the availability and ease of acquiring satellite imagery data and analysis made this concept very attractive and efficient.

Suggested Citation

  • Olumuyiwa Idowu Ojo & Masengo Francois Ilunga, 2021. "Use of Geoinformatics Techniques for the Assessment and Mapping of Soil Salinity: Concepts and Applications," Chapters, in: Edward R Rhodes & Humood Naser (ed.), Natural Resources Management and Biological Sciences, IntechOpen.
    • Handle: RePEc:ito:pchaps:212038
    DOI: 10.5772/intechopen.92443
    as

    Download full text from publisher

    File URL: https://www.intechopen.com/chapters/72231
    Download Restriction: no
    File URL: https://libkey.io/10.5772/intechopen.92443?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    soil salinity; empirical model; salinity model;
    All these keywords.

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

    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:ito:pchaps:212038. 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: Slobodan Momcilovic (email available below). General contact details of provider: http://www.intechopen.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.