IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v65y2013i3p1249-1274.html
   My bibliography  Save this article

A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method

Author

Listed:
  • Mohammad Mokhtari
  • Robiah Adnan
  • Ibrahim Busu

Abstract

The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this study, a new approach for developing comprehensive agricultural drought index from satellite-derived biophysical parameters is presented. Therefore, the potential of satellite-derived biophysical parameters for improved understanding of the water status of pistachio (Pistachio vera L.) crop grown in a semiarid area is evaluated. Exploratory factor analysis with principal component extraction method is performed to select the most influential parameters from seven biophysical parameters including surface temperature (T s ), surface albedo (α), leaf area index (LAI), soil heat flux (G o ), soil-adjusted vegetation index (SAVI), normalized difference vegetation index (NDVI), and net radiation (R n ). T s and G o were found as the most effective parameters by this method. However, T s , LAI, α, and SAVI that accounts for 99.6 % of the total variance of seven inputs were selected to model a new biophysical water stress index (BPWSI). The values of BPWSI were stretched independently and compared with the range of actual evapotranspiration estimated through well-known METRIC (mapping evapotranspiration at high resolution with internal calibration) energy balance model. The results showed that BPWSI can be efficiently used for the prediction of the pistachio water status (RMSE of 0.52, 0.31, and 0.48 mm/day on three image dates of April 28, July 17, and August 2, 2010). The study confirmed that crop water status is accounted by several satellite-based biophysical parameters rather than single parameter. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Mohammad Mokhtari & Robiah Adnan & Ibrahim Busu, 2013. "A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method," 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. 65(3), pages 1249-1274, February.
    • Handle: RePEc:spr:nathaz:v:65:y:2013:i:3:p:1249-1274
    DOI: 10.1007/s11069-012-0408-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-012-0408-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-012-0408-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. Ramos, J.G. & Cratchley, C.R. & Kay, J.A. & Casterad, M.A. & Martnez-Cob, A. & Domnguez, R., 2009. "Evaluation of satellite evapotranspiration estimates using ground-meteorological data available for the Flumen District into the Ebro Valley of N.E. Spain," Agricultural Water Management, Elsevier, vol. 96(4), pages 638-652, April.
    2. Donald Wilhite & Mark Svoboda & Michael Hayes, 2007. "Understanding the complex impacts of drought: A key to enhancing drought mitigation and preparedness," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 763-774, May.
    3. Smith, D. M. Stafford & McKeon, G. M., 1998. "Assessing the historical frequency of drought events on grazing properties in Australian rangelands," Agricultural Systems, Elsevier, vol. 57(3), pages 271-299, July.
    4. Senkal, Ozan & Kuleli, Tuncay, 2009. "Estimation of solar radiation over Turkey using artificial neural network and satellite data," Applied Energy, Elsevier, vol. 86(7-8), pages 1222-1228, July.
    5. Hong Wu & Donald Wilhite, 2004. "An Operational Agricultural Drought Risk Assessment Model for Nebraska, USA," 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. 33(1), pages 1-21, September.
    6. Biggs, Trent W. & Gangadhara Rao, Pardhasaradhi & Bharati, Luna, 2010. "Mapping agricultural responses to water supply shocks in large irrigation systems, southern India," Agricultural Water Management, Elsevier, vol. 97(6), pages 924-932, June.
    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. 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.

    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. Jale Amanuel Dufera & Tewodros Addisu Yate & Tadesse Tujuba Kenea, 2023. "Spatiotemporal analysis of drought in Oromia regional state of Ethiopia over the period 1989 to 2019," 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(2), pages 1569-1609, June.
    2. Makade, Rahul G. & Chakrabarti, Siddharth & Jamil, Basharat & Sakhale, C.N., 2020. "Estimation of global solar radiation for the tropical wet climatic region of India: A theory of experimentation approach," Renewable Energy, Elsevier, vol. 146(C), pages 2044-2059.
    3. Yixuan Wang & Jianzhu Li & Ping Feng & Rong Hu, 2015. "A Time-Dependent Drought Index for Non-Stationary Precipitation Series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5631-5647, December.
    4. El-Sebaii, A.A. & Al-Hazmi, F.S. & Al-Ghamdi, A.A. & Yaghmour, S.J., 2010. "Global, direct and diffuse solar radiation on horizontal and tilted surfaces in Jeddah, Saudi Arabia," Applied Energy, Elsevier, vol. 87(2), pages 568-576, February.
    5. S. D. Sachini Kaushalya Dissanayake & Yuanshu Jing & Tharana Inu Laksith, 2024. "Assessing Drought Risk and the Influence of Climate Projections in Sri Lanka for Sustainable Drought Mitigation via Geospatial Techniques," Sustainability, MDPI, vol. 16(23), pages 1-17, November.
    6. L. Vergni & F. Todisco & B. Lena, 2021. "Evaluation of the similarity between drought indices by correlation analysis and Cohen's Kappa test in a Mediterranean area," 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. 108(2), pages 2187-2209, September.
    7. Araceli Martin-Candilejo & Francisco J. Martin-Carrasco & Ana Iglesias & Luis Garrote, 2023. "Heading into the Unknown? Exploring Sustainable Drought Management in the Mediterranean Region," Sustainability, MDPI, vol. 16(1), pages 1-18, December.
    8. Ping Zhang & Zhuo Chen & Gang Ding & Jiaqi Fang & Jinglong Fan & Shengyu Li, 2024. "Spatial Analysis and Risk Assessment of Meteorological Disasters Affecting Cotton Cultivation in Xinjiang: A Comprehensive Model Approach," Sustainability, MDPI, vol. 16(12), pages 1-17, June.
    9. 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.
    10. Wuliyasu Bai & Liang Yan & Jingbo Liang & Long Zhang, 2022. "Mapping Knowledge Domain on Economic Growth and Water Sustainability: A Scientometric Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 4137-4159, September.
    11. Lampros Vasiliades & Athanasios Loukas & Nikos Liberis, 2011. "A Water Balance Derived Drought Index for Pinios River Basin, Greece," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(4), pages 1087-1101, March.
    12. Jackson, T.M. & Hanjra, Munir A. & Khan, S. & Hafeez, M.M., 2011. "Building a climate resilient farm: A risk based approach for understanding water, energy and emissions in irrigated agriculture," Agricultural Systems, Elsevier, vol. 104(9), pages 729-745.
    13. Jamil, Basharat & Akhtar, Naiem, 2017. "Comparison of empirical models to estimate monthly mean diffuse solar radiation from measured data: Case study for humid-subtropical climatic region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1326-1342.
    14. Xiaojing Liu & Jiquan Zhang & Donglai Ma & Yulong Bao & Zhijun Tong & Xingpeng Liu, 2013. "Dynamic risk assessment of drought disaster for maize based on integrating multi-sources data in the region of the northwest of Liaoning Province, China," 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. 65(3), pages 1393-1409, February.
    15. A. S. Giannikopoulou & F. K. Gad & E. Kampragou & D. Assimacopoulos, 2017. "Risk-Based Assessment of Drought Mitigation Options: the Case of Syros Island, Greece," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(2), pages 655-669, January.
    16. Jing Wang & Feng Fang & Qiang Zhang & Jinsong Wang & Yubi Yao & Wei Wang, 2016. "Risk evaluation of agricultural disaster impacts on food production in southern China by probability density method," 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. 83(3), pages 1605-1634, September.
    17. Coral Salvador & Raquel Nieto & Cristina Linares & Julio Díaz & Luis Gimeno, 2020. "Quantification of the Effects of Droughts on Daily Mortality in Spain at Different Timescales at Regional and National Levels: A Meta-Analysis," IJERPH, MDPI, vol. 17(17), pages 1-16, August.
    18. Meinke, H. & Baethgen, W. E. & Carberry, P. S. & Donatelli, M. & Hammer, G. L. & Selvaraju, R. & Stockle, C. O., 2001. "Increasing profits and reducing risks in crop production using participatory systems simulation approaches," Agricultural Systems, Elsevier, vol. 70(2-3), pages 493-513.
    19. Abdoulaye Sy & Catherine Araujo-Bonjean & Marie-Eliette Dury & Nourddine Azzaoui & Arnaud Guillin, 2021. "An Extreme Value Mixture model to assess drought hazard in West Africa," Working Papers hal-03297023, HAL.
    20. Venkata Ramana Murthy Reddi & Murali Krishna Gumma & Kesava Rao Pyla & Amminedu Eadara & Jai Sankar Gummapu, 2017. "Monitoring Changes in Croplands Due to Water Stress in the Krishna River Basin Using Temporal Satellite Imagery," Land, MDPI, vol. 6(4), pages 1-18, 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:spr:nathaz:v:65:y:2013:i:3:p:1249-1274. 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.