IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v84y2016i2d10.1007_s11069-016-2490-y.html
   My bibliography  Save this article

Drought monitoring and performance evaluation of MODIS-based drought severity index (DSI) over Pakistan

Author

Listed:
  • Muhammad Athar Haroon

    (Chinese Academy of Sciences (CAS)
    University of Chinese Academy of Sciences)

  • Jiahua Zhang

    (Chinese Academy of Sciences (CAS))

  • Fengmei Yao

    (University of Chinese Academy of Sciences)

Abstract

Drought is an extreme climate phenomenon that mainly results from abnormally low rainfall leading to water scarcity in an ecological system. Pakistan is already facing a serious threat of water shortages. The situation could further be intensified due to the prevailing drought conditions. Therefore, there is a need of consistent drought monitoring to observe drought severity; its duration and spread, to ensure effective planning to help mitigate its possible adverse effects. This study has utilized both satellite and in-situ data for consistent and accurate drought monitoring over Pakistan. Three major drought-intensive periods such as 1968–1975, mid-1980s and 1999–2003 were reflected in the standardized precipitation index (SPI) time series. The deviations of MODIS-NDVI values from their long-term mean were used as a tool to identify wetness and dryness conditions. The tropical rainfall measuring mission (TRMM) precipitation (PPTN) data were used to derive monthly and annual accumulated rainfall. The deviations from the long-term mean (2001–2012) were calculated and mapped to identify drought-prone regions on country scale. It is hard to detect drought signal just from NDVI anomaly values on regional scale. Therefore, DSI index with high resolution and incorporated with MODIS-derived NDVI and ET/PET data was chosen as a tool for regional drought monitoring. The performance of MODIS-derived DSI was evaluated with satellite and in-situ precipitation data. The spatial correlation maps between DSI, TRMM-PPTN and SPI-3 were generated to evaluate the performance of DSI. Significant positive correlation values were present in winter (DJF); spring (MAM) and autumn (SON) seasons, in central parts of the country, portraying strong evidence that DSI is a good indicator for drought conditions especially for agricultural land in plain areas during these seasons. Most of this region is characterized by agricultural land cover and plays an important role in agricultural productivity of the country. Therefore, good performance of DSI would help scientists and policy makers to implement planning and risk reduction strategies in the region .

Suggested Citation

  • Muhammad Athar Haroon & Jiahua Zhang & Fengmei Yao, 2016. "Drought monitoring and performance evaluation of MODIS-based drought severity index (DSI) over Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1349-1366, November.
    • Handle: RePEc:spr:nathaz:v:84:y:2016:i:2:d:10.1007_s11069-016-2490-y
    DOI: 10.1007/s11069-016-2490-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-016-2490-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-016-2490-y?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pandey, S. & Bhandari, H. & Hardy, B., 2007. "Economic Costs of Drought and Rice Farmers’ Coping Mechanisms: A Cross-Country Comparative Analysis," IRRI Books, International Rice Research Institute (IRRI), number 281814.
    2. Anonymous, 1966. "World Meteorological Organization," International Organization, Cambridge University Press, vol. 20(4), pages 842-844, October.
    3. Bausch, Walter C., 1995. "Remote sensing of crop coefficients for improving the irrigation scheduling of corn," Agricultural Water Management, Elsevier, vol. 27(1), pages 55-68, April.
    4. World Bank, 2005. "Pakistan : Country Water Resources Assistance Strategy, Water Economy : Running Dry," World Bank Publications - Reports 8343, The World Bank Group.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Mansoor Ahmed & Ghulam Hussain Dars & Suhail Ahmed & Nir Y. Krakauer, 2023. "Analyzing drought trends over Sindh Province, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(1), pages 643-661, October.
    2. Wilson Kalisa & Tertsea Igbawua & Fanan Ujoh & Igbalumun S. Aondoakaa & Jean Nepomuscene Namugize & Jiahua Zhang, 2021. "Spatio-temporal variability of dry and wet conditions over East Africa from 1982 to 2015 using quantile regression model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 2047-2076, April.
    3. Sohail Abbas & Shazia Kousar, 2021. "Spatial analysis of drought severity and magnitude using the standardized precipitation index and streamflow drought index over the Upper Indus Basin, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15314-15340, October.
    4. Kalisa, Wilson & Zhang, Jiahua & Igbawua, Tertsea & Ujoh, Fanan & Ebohon, Obas John & Namugize, Jean Nepomuscene & Yao, Fengmei, 2020. "Spatio-temporal analysis of drought and return periods over the East African region using Standardized Precipitation Index from 1920 to 2016," Agricultural Water Management, Elsevier, vol. 237(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Claudio Morana & Giacomo Sbrana, 2017. "Temperature Anomalies, Radiative Forcing and ENSO," Working Papers 2017.09, Fondazione Eni Enrico Mattei.
    2. Nathan Sunday & Rehema Kahunde & Blessing Atwine & Adesoji Adelaja & Justin George, 2023. "How specific resilience pillars mitigate the impact of drought on food security: Evidence from Uganda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 15(1), pages 111-131, February.
    3. Ani Melkonyan & Malcolm Asadoorian, 2014. "Climate impact on agroeconomy in semiarid region of Armenia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(2), pages 393-414, April.
    4. Ward, Patrick S. & Spielman, David J. & Ortega, David L. & Kumar, Neha & Minocha, Sumedha, 2015. "Demand for Complementary Financial and Technological Tools for Managing Drought Risk: Evidence from Rice Farmers in Bangladesh," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204882, Agricultural and Applied Economics Association.
    5. Dario Camuffo & Antonio della Valle & Francesca Becherini & Valeria Zanini, 2020. "Three centuries of daily precipitation in Padua, Italy, 1713–2018: history, relocations, gaps, homogeneity and raw data," Climatic Change, Springer, vol. 162(2), pages 923-942, September.
    6. Madhusudan Ghosh, 2019. "Climate-smart Agriculture, Productivity and Food Security in India," Journal of Development Policy and Practice, , vol. 4(2), pages 166-187, July.
    7. Jose M. Yorobe Jr. & Jauhar Ali & Valerien O. Pede & Roderick M. Rejesus & Orlee. P. Velarde & Huaiyu Wang, 2016. "Yield and income effects of rice varieties with tolerance of multiple abiotic stresses: the case of green super rice (GSR) and flooding in the Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 47(3), pages 261-271, May.
    8. Kemper, K. E., 2007. "Instruments and institutions for groundwater management," IWMI Books, Reports H040046, International Water Management Institute.
    9. Amrita Chatterjee & Arpita Ghose, 2016. "A dynamic economic model of soil conservation and drought tolerance involving genetically modified crops," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 18(1), pages 40-66, October.
    10. Ward, Patrick S. & Ortega, David L. & Spielman, David J. & Singh, Vartika, 2013. "Farmer preferences for drought tolerance in hybrid versus inbred rice: Evidence from Bihar, India:," IFPRI discussion papers 1307, International Food Policy Research Institute (IFPRI).
    11. Gokhan Yildirim & Ataur Rahman, 2022. "Spatiotemporal meteorological drought assessment: a case study in south-east Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 305-332, March.
    12. Birthal, Pratap S. & Hazrana, Jaweriah, 2019. "Crop diversification and resilience of agriculture to climatic shocks: Evidence from India," Agricultural Systems, Elsevier, vol. 173(C), pages 345-354.
    13. Umar Farooq & Munir Ahmad, 2007. "Natural Resource Conservation, Poverty Alleviation, and Farmer Partnership," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(4), pages 1023-1049.
    14. Fontes, Francisco & Gorst, Ashley & Palmer, Charles, 2020. "Does choice of drought index influence estimates of drought-induced rice losses in India?," Environment and Development Economics, Cambridge University Press, vol. 25(5), pages 459-481, October.
    15. Fahim, Muhammad Amir, 2011. "Impact of water scarcity on food security at meso level in Pakistan," MPRA Paper 35759, University Library of Munich, Germany, revised 23 Dec 2011.
    16. Mottaleb, Khondoker A. & Rejesus, Roderick M. & Mohanty, Samarendu & Murty, M.V.R. & Li, Tao & Valera, Harold Glenn & Gumma, Murali Krishna, 2012. "Ex Ante Impact Assessment of a Drought Tolerant Rice Variety in the Presence of Climate Change," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124745, Agricultural and Applied Economics Association.
    17. Muhammad Ashraf & Jayant Routray & Muhammad Saeed, 2014. "Determinants of farmers’ choice of coping and adaptation measures to the drought hazard in northwest Balochistan, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(3), pages 1451-1473, September.
    18. Francisco Fontes & Ashley Gorst & Charles Palmer, 2021. "Threshold effects of extreme weather events on cereal yields in India," Climatic Change, Springer, vol. 165(1), pages 1-20, March.
    19. Pratap S. Birthal & Jaweriah Hazrana & Digvijay S. Negi, 2021. "Effectiveness of Farmers’ Risk Management Strategies in Smallholder Agriculture: Evidence from India," Climatic Change, Springer, vol. 169(3), pages 1-35, December.
    20. Björn Brey & Matthias S. Hertweck, 2023. "The dynamic effects of monsoon rainfall shocks on agricultural yield, wages, and food prices in India," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(3), pages 616-654, July.

    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:spr:nathaz:v:84:y:2016:i:2:d:10.1007_s11069-016-2490-y. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.