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

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  • 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
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    Cited by:

    1. 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.
    2. Straffelini, Eugenio & Tarolli, Paolo, 2023. "Climate change-induced aridity is affecting agriculture in Northeast Italy," Agricultural Systems, Elsevier, vol. 208(C).

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