IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i14p11154-d1196156.html
   My bibliography  Save this article

Estimation of Crop Water Productivity Using GIS and Remote Sensing Techniques

Author

Listed:
  • Zenobia Talpur

    (US Pakistan Center for Advanced Studies in Water (USPCASW), Mehran University of Engineering and Technology, Jamshoro 76062, Pakistan
    Water Resources and River Research Department, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of Korea
    Civil and Environmental Engineering Department, University of Science and Technology (UST), Daejeon 34113, Republic of Korea)

  • Arjumand Z. Zaidi

    (US Pakistan Center for Advanced Studies in Water (USPCASW), Mehran University of Engineering and Technology, Jamshoro 76062, Pakistan)

  • Suhail Ahmed

    (US Pakistan Center for Advanced Studies in Water (USPCASW), Mehran University of Engineering and Technology, Jamshoro 76062, Pakistan)

  • Tarekegn Dejen Mengistu

    (Water Resources and River Research Department, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of Korea
    Civil and Environmental Engineering Department, University of Science and Technology (UST), Daejeon 34113, Republic of Korea)

  • Si-Jung Choi

    (Water Resources and River Research Department, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of Korea)

  • Il-Moon Chung

    (Water Resources and River Research Department, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of Korea
    Civil and Environmental Engineering Department, University of Science and Technology (UST), Daejeon 34113, Republic of Korea)

Abstract

The global demand for food is growing with the population and urbanization, which puts pressure on water resources, which need assessing and quantifying water requirements. Adopting efficient irrigation methods to optimize water use is essential in this situation. In this study, crop water productivity (CWP) of major crops in the Rohri canal command area was estimated by the ratio of yield and actual evapotranspiration ( ET a ). Analyzing the CWP of major crops, water scarcity challenges can be tackled by selecting the most feasible irrigation methods. However, ET a was calculated and aggregated for all four stages of the crop growth period: initial, crop development, flowering stage, and maturity seasons. The crop yield data were obtained from the districts’ agricultural statistics. For this purpose, evapotranspiration products of Landsat 5 and 8 were downloaded from Earth Engine Evapotranspiration Flux (EEFlux). Landsat images were processed in a GIS environment to calculate ET a . The approach suggests developing a CWP database for major crops like wheat, cotton, and rice to improve irrigation water management. The objectives of this study are to estimate and analyze the difference in the CWP and evapotranspiration of major crops for the Rabi and Kharif seasons with high and moderate flows during 1998–2019. It comprises nine districts of Sindh that come under the Rohri Canal command area. To analyze the difference in CWP between the Rabi and Kharif seasons for all study crops of the seasons of Rabi (2014–2015 and 2016–2017) and Kharif (1998 and 2017). The growing periods for wheat, cotton, and rice in the Rohri Canal command area are 160, 195, and 180 days, respectively. The estimated ET a of the Rohri canal command area and CWP were in good agreement with the literature-reported values. Hence, enhanced agricultural productivity can be achieved by making considerable investments to improve agricultural research and extension systems.

Suggested Citation

  • Zenobia Talpur & Arjumand Z. Zaidi & Suhail Ahmed & Tarekegn Dejen Mengistu & Si-Jung Choi & Il-Moon Chung, 2023. "Estimation of Crop Water Productivity Using GIS and Remote Sensing Techniques," Sustainability, MDPI, vol. 15(14), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11154-:d:1196156
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/14/11154/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/14/11154/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Molden, David & Oweis, Theib & Steduto, Pasquale & Bindraban, Prem & Hanjra, Munir A. & Kijne, Jacob, 2010. "Improving agricultural water productivity: Between optimism and caution," Agricultural Water Management, Elsevier, vol. 97(4), pages 528-535, April.
    2. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    3. Muhammad Adnan Shahid & Junaid Nawaz Chauhdary & Muhammad Usman & Muhammad Uzair Qamar & Abdul Shabbir, 2022. "Assessment of Water Productivity Enhancement and Sustainability Potential of Different Resource Conservation Technologies: A Review in the Context of Pakistan," Agriculture, MDPI, vol. 12(7), pages 1-16, July.
    4. Ahmad, M.D. & Turral, H. & Nazeer, A., 2009. "Diagnosing irrigation performance and water productivity through satellite remote sensing and secondary data in a large irrigation system of Pakistan," Agricultural Water Management, Elsevier, vol. 96(4), pages 551-564, April.
    5. Zwart, Sander J. & Bastiaanssen, Wim G.M. & de Fraiture, Charlotte & Molden, David J., 2010. "WATPRO: A remote sensing based model for mapping water productivity of wheat," Agricultural Water Management, Elsevier, vol. 97(10), pages 1628-1636, 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. Sharma, Bharat & Molden, D. & Cook, Simon, 2015. "Water use efficiency in agriculture: measurement, current situation and trends," Book Chapters,, International Water Management Institute.
    2. Sharma, Bharat & Molden, D. & Cook, Simon, 2015. "Water use efficiency in agriculture: measurement, current situation and trends," IWMI Books, Reports H046807, International Water Management Institute.
    3. Yan, Nana & Wu, Bingfang, 2014. "Integrated spatial–temporal analysis of crop water productivity of winter wheat in Hai Basin," Agricultural Water Management, Elsevier, vol. 133(C), pages 24-33.
    4. Zwart, Sander J. & Bastiaanssen, Wim G.M. & de Fraiture, Charlotte & Molden, David J., 2010. "A global benchmark map of water productivity for rainfed and irrigated wheat," Agricultural Water Management, Elsevier, vol. 97(10), pages 1617-1627, October.
    5. Safi, Abdur Rahim & Karimi, Poolad & Mul, Marloes & Chukalla, Abebe & de Fraiture, Charlotte, 2022. "Translating open-source remote sensing data to crop water productivity improvement actions," Agricultural Water Management, Elsevier, vol. 261(C).
    6. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2021. "A comprehensive analysis of water productivity in natural vegetation and various crops coexistent agro-ecosystems," Agricultural Water Management, Elsevier, vol. 243(C).
    7. Gonçalves, Ivo Zution & Mekonnen, Mesfin M. & Neale, Christopher M.U. & Campos, Isidro & Neale, Michael R., 2020. "Temporal and spatial variations of irrigation water use for commercial corn fields in Central Nebraska," Agricultural Water Management, Elsevier, vol. 228(C).
    8. Li, Xiaolin & Tong, Ling & Niu, Jun & Kang, Shaozhong & Du, Taisheng & Li, Sien & Ding, Risheng, 2017. "Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 55-63.
    9. Ahmad, Mirza Junaid & Iqbal, Muhammad Anjum & Choi, Kyung Sook, 2020. "Climate-driven constraints in sustaining future wheat yield and water productivity," Agricultural Water Management, Elsevier, vol. 231(C).
    10. Zwart, Sander J. & Bastiaanssen, Wim G.M. & de Fraiture, Charlotte & Molden, David J., 2010. "WATPRO: A remote sensing based model for mapping water productivity of wheat," Agricultural Water Management, Elsevier, vol. 97(10), pages 1628-1636, October.
    11. Nouri, Milad & Homaee, Mehdi & Pereira, Luis S. & Bybordi, Mohammad, 2023. "Water management dilemma in the agricultural sector of Iran: A review focusing on water governance," Agricultural Water Management, Elsevier, vol. 288(C).
    12. Mohamed Kharrou & Michel Le Page & Ahmed Chehbouni & Vincent Simonneaux & Salah Er-Raki & Lionel Jarlan & Lahcen Ouzine & Said Khabba & Ghani Chehbouni, 2013. "Assessment of Equity and Adequacy of Water Delivery in Irrigation Systems Using Remote Sensing-Based Indicators in Semi-Arid Region, Morocco," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4697-4714, October.
    13. van Halsema, Gerardo E. & Vincent, Linden, 2012. "Efficiency and productivity terms for water management: A matter of contextual relativism versus general absolutism," Agricultural Water Management, Elsevier, vol. 108(C), pages 9-15.
    14. Tellioglu, Isin & Konandreas, Panos, 2017. "Agricultural Policies, Trade and Sustainable Development in Egypt," National Policies, Trade and Sustainable Development 320158, International Centre for Trade and Sustainable Development (ICTSD).
    15. Monaco, Federica & Sali, Guido, 2018. "How water amounts and management options drive Irrigation Water Productivity of rice. A multivariate analysis based on field experiment data," Agricultural Water Management, Elsevier, vol. 195(C), pages 47-57.
    16. Pinheiro, Everton Alves Rodrigues & de Jong van Lier, Quirijn & Šimůnek, Jirka, 2019. "The role of soil hydraulic properties in crop water use efficiency: A process-based analysis for some Brazilian scenarios," Agricultural Systems, Elsevier, vol. 173(C), pages 364-377.
    17. Tafadzwanashe Mabhaudhi & Tendai Chibarabada & Albert Modi, 2016. "Water-Food-Nutrition-Health Nexus: Linking Water to Improving Food, Nutrition and Health in Sub-Saharan Africa," IJERPH, MDPI, vol. 13(1), pages 1-19, January.
    18. Scheierling, Susanne M. & Treguer, David O. & Booker, James F., 2015. "Water Productivity in Agriculture: Looking for Water in the Agricultural Productivity and Efficiency Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205677, Agricultural and Applied Economics Association.
    19. Mobin-ud Ahmad & Mac Kirby & Mohammad Islam & Md. Hossain & Md. Islam, 2014. "Groundwater Use for Irrigation and its Productivity: Status and Opportunities for Crop Intensification for Food Security in Bangladesh," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1415-1429, March.
    20. Muhammad Mohsin Waqas & Muhammad Waseem & Sikandar Ali & Megersa Kebede Leta & Adnan Noor Shah & Usman Khalid Awan & Syed Hamid Hussain Shah & Tao Yang & Sami Ullah, 2021. "Evaluating the Spatio-Temporal Distribution of Irrigation Water Components for Water Resources Management Using Geo-Informatics Approach," Sustainability, MDPI, vol. 13(15), pages 1-20, August.

    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:gam:jsusta:v:15:y:2023:i:14:p:11154-:d:1196156. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.