IDEAS home Printed from https://ideas.repec.org/a/ags/ccsesa/301815.html
   My bibliography  Save this article

Drought Monitoring in the Dry Zone of Myanmar using MODIS Derived NDVI and Satellite Derived CHIRPS Precipitation Data

Author

Listed:
  • Dutta, Rishiraj

Abstract

Drought has become an increasingly frequent phenomena around the globe causing negative impacts on ecosystems, agriculture, and socio-economic conditions. While efforts have been underway for developing effective monitoring and risk management measures, it still remains a challenge in countries like Myanmar where access to observed and near real time data is a constraint. This study therefore, tries to derive correlations between MODIS Normalized Difference Vegetation Index (NDVI) and Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) data to see if some empirical relationships can be established. Statistical analysis showed that strong correlation (R² = 0.74 and 0.82) exist between NDVI and CHIRPS data indicating that vegetation stress conditions observed in the Dry Zone of Myanmar is due to insufficient precipitation conditions. The analysis also showed that the region had faced with three extreme conditions during the period from 1981-2015 with 2014 and 2015 being the extreme event. It further concluded that NDVI and CHIRPS could provide near real time information on vegetation stress situations of the Dry Zone of Myanmar.

Suggested Citation

  • Dutta, Rishiraj, 2018. "Drought Monitoring in the Dry Zone of Myanmar using MODIS Derived NDVI and Satellite Derived CHIRPS Precipitation Data," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 7(2).
    • Handle: RePEc:ags:ccsesa:301815
    DOI: 10.22004/ag.econ.301815
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/301815/files/Paper%206.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.301815?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Straffelini, Eugenio & Tarolli, Paolo, 2023. "Climate change-induced aridity is affecting agriculture in Northeast Italy," Agricultural Systems, Elsevier, vol. 208(C).
    2. Jeewanthi Sirisena & Denie Augustijn & Aftab Nazeer & Janaka Bamunawala, 2022. "Use of Remote-Sensing-Based Global Products for Agricultural Drought Assessment in the Narmada Basin, India," Sustainability, MDPI, vol. 14(20), pages 1-21, October.

    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:ags:ccsesa:301815. 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: AgEcon Search (email available below). General contact details of provider: http://www.ccsenet.org/sar .

    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.