IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v191y2021ics0308521x21000949.html
   My bibliography  Save this article

Improving regional wheat drought risk assessment for insurance application by integrating scenario-driven crop model, machine learning, and satellite data

Author

Listed:
  • Li, Ziyue
  • Zhang, Zhao
  • Zhang, Lingyan

Abstract

Accurate estimation of yield losses from natural disasters on a regional scale can guide agronomic management and agricultural insurance, transfer disaster risk, and ensure food security. Conventional yield losses, however, mainly depend on historical events, for which detailed records of locations and losses are unavailable.

Suggested Citation

  • Li, Ziyue & Zhang, Zhao & Zhang, Lingyan, 2021. "Improving regional wheat drought risk assessment for insurance application by integrating scenario-driven crop model, machine learning, and satellite data," Agricultural Systems, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:agisys:v:191:y:2021:i:c:s0308521x21000949
    DOI: 10.1016/j.agsy.2021.103141
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X21000949
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2021.103141?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. Swenja Surminski & Laurens M. Bouwer & Joanne Linnerooth-Bayer, 2016. "How insurance can support climate resilience," Nature Climate Change, Nature, vol. 6(4), pages 333-334, April.
    2. Jerry R. Skees & J. Roy Black & Barry J. Barnett, 1997. "Designing and Rating an Area Yield Crop Insurance Contract," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 430-438.
    3. Aiguo Dai, 2011. "Drought under global warming: a review," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 2(1), pages 45-65, January.
    4. Markus Reichstein & Gustau Camps-Valls & Bjorn Stevens & Martin Jung & Joachim Denzler & Nuno Carvalhais & Prabhat, 2019. "Deep learning and process understanding for data-driven Earth system science," Nature, Nature, vol. 566(7743), pages 195-204, February.
    5. Corey Lesk & Pedram Rowhani & Navin Ramankutty, 2016. "Influence of extreme weather disasters on global crop production," Nature, Nature, vol. 529(7584), pages 84-87, January.
    6. Olivier Mahul & Charles J. Stutley, 2010. "Government Support to Agricultural Insurance : Challenges and Options for Developing Countries," World Bank Publications - Books, The World Bank Group, number 2432, December.
    7. Chaudhary, T. N. & Bhatnagar, V. K., 1980. "Wheat root distribution, water extraction pattern and grain yield as influenced by time and rate of irrigation," Agricultural Water Management, Elsevier, vol. 3(2), pages 115-124, November.
    8. Thomas O. Knight & Keith H. Coble, 1997. "Survey of U.S. Multiple Peril Crop Insurance Literature Since 1980," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 19(1), pages 128-156.
    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. Beatrice Monteleone & Iolanda Borzí & Brunella Bonaccorso & Mario Martina, 2023. "Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves," 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. 116(3), pages 2761-2796, April.
    2. Riao, Dao & Guga, Suri & Bao, Yongbin & Liu, Xingping & Tong, Zhijun & Zhang, Jiquan, 2023. "Non-overlap of suitable areas of agro-climatic resources and main planting areas is the main reason for potato drought disaster in Inner Mongolia, China," Agricultural Water Management, Elsevier, vol. 275(C).
    3. Monteleone, Beatrice & Borzí, Iolanda & Arosio, Marcello & Cesarini, Luigi & Bonaccorso, Brunella & Martina, Mario, 2023. "Modelling the response of wheat yield to stage-specific water stress in the Po Plain," Agricultural Water Management, Elsevier, vol. 287(C).
    4. Yining Ma & Suri Guga & Jie Xu & Jiquan Zhang & Zhijun Tong & Xingpeng Liu, 2021. "Comprehensive Risk Assessment of High Temperature Disaster to Kiwifruit in Shaanxi Province, China," IJERPH, MDPI, vol. 18(19), pages 1-22, October.
    5. Liu, Cong & Li, Kaiwei & Zhang, Jiquan & Guga, Suri & Wang, Rui & Liu, Xingpeng & Tong, Zhijun, 2023. "Dynamic risk assessment of waterlogging disaster to spring peanut (Arachis hypogaea L.) in Henan Province, China," Agricultural Water Management, Elsevier, vol. 277(C).
    6. Luo, Li & Sun, Shikun & Xue, Jing & Gao, Zihan & Zhao, Jinfeng & Yin, Yali & Gao, Fei & Luan, Xiaobo, 2023. "Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation," Agricultural Systems, Elsevier, vol. 210(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. Sommarat Chantarat, 2015. "Index-based Risk Financing and Development of Natural Disaster Insurance Programs in Developing Countries," PIER Discussion Papers 10, Puey Ungphakorn Institute for Economic Research.
    2. Sommarat Chantarat, 2015. "Index-based Risk Financing and Development of Natural Disaster Insurance Programs in Developing Countries," PIER Discussion Papers 10., Puey Ungphakorn Institute for Economic Research, revised Nov 2015.
    3. Glauber, Joseph W., 2017. "Agricultural insurance and the WTO:," IFPRI book chapters, in: Bouët, Antoine & Laborde Debucquet, David (ed.), Agriculture, development, and the global trading system: 2000– 2015, chapter 10, International Food Policy Research Institute (IFPRI).
    4. World Bank, 2011. "Kazakhstan : Agricultural Insurance Feasibility Study, Volume 2. Annexes," World Bank Publications - Reports 20780, The World Bank Group.
    5. F. G. Santeramo & B. K. Goodwin & F. Adinolfi & F. Capitanio, 2016. "Farmer Participation, Entry and Exit Decisions in the Italian Crop Insurance Programme," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 639-657, September.
    6. Hanson, Steven D. & Black, J. Roy & Wang, H. Holly, 2000. "Can Revenue Insurance Substitute For Price And Yield Risk Management Instruments?," Staff Paper Series 11655, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    7. Smith, Vincent H. & Glauber, Joseph & Dismukes, Robert, 2016. "Rent Dispersion in the US Agricultural Insurance Industry:," IFPRI discussion papers 1532, International Food Policy Research Institute (IFPRI).
    8. Sommarat Chantarat & Krirk Pannangpetch & Nattapong Puttanapong & Preesan Rakwatin & Thanasin Tanompongphandh, 2015. "Index-Based Risk Financing and Development of Natural Disaster Insurance Programs in Developing Asian Countries," Risk, Governance and Society, in: Daniel P. Aldrich & Sothea Oum & Yasuyuki Sawada (ed.), Resilience and Recovery in Asian Disasters, edition 127, chapter 0, pages 171-200, Springer.
    9. Coble, Keith H. & Barnett, Barry J., 1999. "The Role Of Research In Producer Risk Management," Professional Papers 15803, Mississippi State University, Department of Agricultural Economics.
    10. Aditya Kusuma & Bethanna Jackson & Ilan Noy, 2018. "A viable and cost-effective weather index insurance for rice in Indonesia," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 43(2), pages 186-218, September.
    11. Carter, Michael R. & Galarza, Francisco B. & Boucher, Steve, 2007. "Underwriting Area-based Yield Insurance to Crowd- in Credit Supply Demand," Working Papers 190918, University of California, Davis, Department of Agricultural and Resource Economics.
    12. Wang, H. Holly & Zhang, Hao, 2002. "Using The Spatial Statistics Approach To Analyze Yield Risk Pooling In The Us," 2002 Annual meeting, July 28-31, Long Beach, CA 19633, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Huynh, Thanh D. & Nguyen, Thu Ha & Truong, Cameron, 2020. "Climate risk: The price of drought," Journal of Corporate Finance, Elsevier, vol. 65(C).
    14. Javadi, Siamak & Masum, Abdullah-Al, 2021. "The impact of climate change on the cost of bank loans," Journal of Corporate Finance, Elsevier, vol. 69(C).
    15. Budhathoki, Nanda Kaji & Lassa, Jonatan A. & Pun, Sirish & Zander, Kerstin K., 2019. "Farmers’ interest and willingness-to-pay for index-based crop insurance in the lowlands of Nepal," Land Use Policy, Elsevier, vol. 85(C), pages 1-10.
    16. Guga, Suri & Ma, Yining & Riao, Dao & Zhi, Feng & Xu, Jie & Zhang, Jiquan, 2023. "Drought monitoring of sugarcane and dynamic variation characteristics under global warming: A case study of Guangxi, China," Agricultural Water Management, Elsevier, vol. 275(C).
    17. Krogmeier, Joseph L. & Wang, H. Holly, 1998. "The Possibility Of A Private Crop Insurance Market: The Theoretical Foundations," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20902, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Christian L. E. Franzke, 2017. "Impacts of a Changing Climate on Economic Damages and Insurance," Economics of Disasters and Climate Change, Springer, vol. 1(1), pages 95-110, June.
    19. Mario Guevara & Rodrigo Vargas, 2019. "Downscaling satellite soil moisture using geomorphometry and machine learning," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-20, September.

    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:eee:agisys:v:191:y:2021:i:c:s0308521x21000949. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.