IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v37y2023i2d10.1007_s11269-022-03403-x.html
   My bibliography  Save this article

Comparison of the capability of the Meteorological and Remote Sensing Drought Indices

Author

Listed:
  • Abdol Rassoul Zarei

    (Fasa University)

  • Marzieh Mokarram

    (Shiraz University
    Shiraz University)

  • Mohammad Reza Mahmoudi

    (Fasa University)

Abstract

According to the importance of selecting the appropriate index for assessing drought, in this study, the performance of ten drought indices including six meteorological and four remote sensing drought indices for assessing drought conditions in 1, 3, 6, and 12-month time scales at the Fars province was compared. In this research, the climatic data series of ten synoptic stations, actual data series of annual rain-fed winter wheat yield (AWWY) in 25 counties, and data of Tropical Rainfall Measurement Mission (TRMM) and Moderate Resolution Imaging Spectroradiometer (MODIS) from 2000 to 2020 were used. First, the zoning map of drought indices and AWWY (for each year) was prepared. Then, the 1000 random points over the study area were selected, and based on the data series of these points, the correlation coefficient (CC) between drought indices and AWWY, based on the XI correlation method (XICOR), was estimated for each year. Eventually, the clustering analysis method was used to cluster drought indices (based on estimated correlations). The results indicated that the Vegetation Condition Index (VCI) had the lowest CC with the AWWY in all years. Among remote sensing drought indices, the overall level of the estimated CC between the Temperature Condition Index (TCI), and Precipitation Condition Index (PCI) with the AWWY was more than other indices. Also, among meteorological drought indices, the overall level of the estimated CC between the Modified Standardized Precipitation Evapotranspiration Index (MSPEI), Modified Reconnaissance Drought Index (MRDI), and Modified Standardized Precipitation Index (MSPI) with the AWWY was more than other indices. According to the results, on average, the MSPEI, MRDI, and MSPI indices with the highest CC with the AWWY were the best drought indices, respectively.

Suggested Citation

  • Abdol Rassoul Zarei & Marzieh Mokarram & Mohammad Reza Mahmoudi, 2023. "Comparison of the capability of the Meteorological and Remote Sensing Drought Indices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(2), pages 769-796, January.
  • Handle: RePEc:spr:waterr:v:37:y:2023:i:2:d:10.1007_s11269-022-03403-x
    DOI: 10.1007/s11269-022-03403-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-022-03403-x
    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/s11269-022-03403-x?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. Thenkabail, Prasad Srinivas & Gamage, M. S. D. Nilantha & Smakhtin, Vladimir U., 2004. "The use of remote sensing data for drought assessment and monitoring in southwest Asia," IWMI Research Reports H035615, International Water Management Institute.
    2. Youxin Wang & Tao Peng & Qingxia Lin & Vijay P. Singh & Xiaohua Dong & Chen Chen & Ji Liu & Wenjuan Chang & Gaoxu Wang, 2022. "A New Non-stationary Hydrological Drought Index Encompassing Climate Indices and Modified Reservoir Index as Covariates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2433-2454, May.
    3. Yuan-Chien Lin & En-Dian Kuo & Wan-Ju Chi, 2021. "Analysis of Meteorological Drought Resilience and Risk Assessment of Groundwater Using Signal Analysis Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 179-197, January.
    4. García-León, David & Contreras, Sergio & Hunink, Johannes, 2019. "Comparison of meteorological and satellite-based drought indices as yield predictors of Spanish cereals," Agricultural Water Management, Elsevier, vol. 213(C), pages 388-396.
    5. Ruperto Ortiz-Gómez & Roberto S. Flowers-Cano & Guillermo Medina-García, 2022. "Sensitivity of the RDI and SPEI Drought Indices to Different Models for Estimating Evapotranspiration Potential in Semiarid Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2471-2492, May.
    6. Neda Khanmohammadi & Hossein Rezaie & Javad Behmanesh, 2022. "Investigation of Drought Trend on the Basis of the Best Obtained Drought Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(4), pages 1355-1375, March.
    7. Salami, Habibollah & Shahnooshi, Naser & Thomson, Kenneth J., 2009. "The economic impacts of drought on the economy of Iran: An integration of linear programming and macroeconometric modelling approaches," Ecological Economics, Elsevier, vol. 68(4), pages 1032-1039, February.
    8. Omidreza Mikaili & Majid Rahimzadegan, 2022. "Investigating remote sensing indices to monitor drought impacts on a local scale (case study: Fars province, Iran)," 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(3), pages 2511-2529, April.
    9. G. Tsakiris & D. Pangalou & H. Vangelis, 2007. "Regional Drought Assessment Based on the Reconnaissance Drought Index (RDI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 821-833, May.
    10. Sourav Chatterjee, 2021. "A New Coefficient of Correlation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 2009-2022, October.
    Full references (including those not matched with items on IDEAS)

    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. Efrosyni Kanellou & Nicos Spyropoulos & Nicolas Dalezios, 2012. "Geoinformatic Intelligence Methodologies for Drought Spatiotemporal Variability in Greece," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(5), pages 1089-1106, March.
    2. Nicolas R. Dalezios & Nicholas Dercas & Nicos V. Spyropoulos & Emmanouil Psomiadis, 2019. "Remotely Sensed Methodologies for Crop Water Availability and Requirements in Precision Farming of Vulnerable Agriculture," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1499-1519, March.
    3. Abdol Rassoul Zarei & Mohammad Reza Mahmoudi, 2022. "Assessing and Predicting the Vulnerability to Agrometeorological Drought Using the Fuzzy-AHP and Second-order Markov Chain techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 4403-4424, September.
    4. Mohammad Amin Asadi Zarch, 2022. "Past and Future Global Drought Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5259-5276, October.
    5. Ioannis M. Kourtis & Harris Vangelis & Dimitris Tigkas & Anna Mamara & Ioannis Nalbantis & George Tsakiris & Vassilios A. Tsihrintzis, 2023. "Drought Assessment in Greece Using SPI and ERA5 Climate Reanalysis Data," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    6. Mohammad Ghabaei Sough & Hamid Zare Abyaneh & Abolfazl Mosaedi, 2018. "Assessing a Multivariate Approach Based on Scalogram Analysis for Agricultural Drought Monitoring," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3423-3440, August.
    7. Milad Nouri, 2023. "Drought Assessment Using Gridded Data Sources in Data-Poor Areas with Different Aridity Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(11), pages 4327-4343, September.
    8. Dimitrios Myronidis & Konstantinos Ioannou & Dimitrios Fotakis & Gerald Dörflinger, 2018. "Streamflow and Hydrological Drought Trend Analysis and Forecasting in Cyprus," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1759-1776, March.
    9. Brunella Bonaccorso & David Peres & Antonio Castano & Antonino Cancelliere, 2015. "SPI-Based Probabilistic Analysis of Drought Areal Extent in Sicily," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 459-470, January.
    10. Konstantinos Spiliotis & Konstantinos Voudouris & Harris Vangelis & Mike Spiliotis, 2025. "Analysis of Annual Drought Episodes Using Complex Networks," Sustainability, MDPI, vol. 17(4), pages 1-17, February.
    11. Pere Quintana-Seguí & Anaïs Barella-Ortiz & Sabela Regueiro-Sanfiz & Gonzalo Miguez-Macho, 2020. "The Utility of Land-Surface Model Simulations to Provide Drought Information in a Water Management Context Using Global and Local Forcing Datasets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(7), pages 2135-2156, May.
    12. Peng Qi & Y. Jun Xu & Guodong Wang, 2020. "Quantifying the Individual Contributions of Climate Change, Dam Construction, and Land Use/Land Cover Change to Hydrological Drought in a Marshy River," Sustainability, MDPI, vol. 12(9), pages 1-16, May.
    13. Araneda-Cabrera, Ronnie J. & Bermúdez, María & Puertas, Jerónimo, 2021. "Assessment of the performance of drought indices for explaining crop yield variability at the national scale: Methodological framework and application to Mozambique," Agricultural Water Management, Elsevier, vol. 246(C).
    14. Enes Gul & Efthymia Staiou & Mir Jafar Sadegh Safari & Babak Vaheddoost, 2023. "Enhancing Meteorological Drought Modeling Accuracy Using Hybrid Boost Regression Models: A Case Study from the Aegean Region, Türkiye," Sustainability, MDPI, vol. 15(15), pages 1-17, July.
    15. D. Chiru Naik & Sagar Rohidas Chavan & P. Sonali, 2023. "Incorporating the climate oscillations in the computation of meteorological drought over India," 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. 117(3), pages 2617-2646, July.
    16. Gift Nxumalo & Bashar Bashir & Karam Alsafadi & Hussein Bachir & Endre Harsányi & Sana Arshad & Safwan Mohammed, 2022. "Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa," IJERPH, MDPI, vol. 19(24), pages 1-22, December.
    17. E. Preziosi & A. Bon & E. Romano & A. Petrangeli & S. Casadei, 2013. "Vulnerability to Drought of a Complex Water Supply System. The Upper Tiber Basin Case Study (Central Italy)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4655-4678, October.
    18. Rina Wu & Jiquan Zhang & Yuhai Bao & Enliang Guo, 2019. "Run Theory and Copula-Based Drought Risk Analysis for Songnen Grassland in Northeastern China," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    19. Laura Şmuleac & Ciprian Rujescu & Adrian Șmuleac & Florin Imbrea & Isidora Radulov & Dan Manea & Anișoara Ienciu & Tabita Adamov & Raul Pașcalău, 2020. "Impact of Climate Change in the Banat Plain, Western Romania, on the Accessibility of Water for Crop Production in Agriculture," Agriculture, MDPI, vol. 10(10), pages 1-24, September.
    20. Chen, Zhangliang & Dall'Erba, Sandy, 2018. "Drought, Domestic Trade And Agricultural Profit: Theory And Evidence," 2018 Annual Meeting, August 5-7, Washington, D.C. 274397, Agricultural and Applied Economics Association.

    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:waterr:v:37:y:2023:i:2:d:10.1007_s11269-022-03403-x. 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.