IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v97y2010i1p75-82.html
   My bibliography  Save this article

Towards using a thermal infrared index combined with water balance modelling to monitor sugarcane irrigation in a tropical environment

Author

Listed:
  • Lebourgeois, V.
  • Chopart, J.-L.
  • Bégué, A.
  • Le Mézo, L.

Abstract

In humid regions, the timing and quantity of a complementary irrigation regime is challenging because of the irregularity of rainfalls events. In this study, we tested the use of a thermal infrared derived empirical crop water stress index (CWSIe) as an in situ measurement of the water status of sugarcane, to better monitor the irrigation scheduling. To do this, we set up a 2-year experiment in Reunion Island, on a trial with plots under different water conditions (rainfed and irrigated). Crop surface temperature was measured daily with infrared radiometers (Apogee Instruments) installed above the canopy, and soil moisture and drainage measurements were used to derive the ratio between actual and maximum evapotranspiration (AET/MET) values that were then averaged on "hydrically homogeneous" time periods (between 7 and 25 days). Only the thermal data acquired on clear days and 1h after noon in 2007 were used to define the empirical lower and upper baselines required for the calculation of empirical CWSI. The data set acquired in 2008 was used to test the robustness of the method as we used the upper and lower baselines defined in 2007 to calculate CWSIe. The linear regression between AET/MET and (1-CWSIe) averaged on the same periods (values ranging between 0.4 and 1) showed a significant correlation for both experimental years (global R2=0.75 and RMSE=0.12). This result indicates the effectiveness of the CWSIe to measure the water status of the sugarcane crop, even in humid conditions with a vapor pressure deficit (VPD) between 0.5 and 2.1. We conclude the study by discussing the complementarity of this remote water stress index (CWSIe) with OSIRI water balance modelling tool currently used in Reunion Island for monitoring sugarcane crop irrigation.

Suggested Citation

  • Lebourgeois, V. & Chopart, J.-L. & Bégué, A. & Le Mézo, L., 2010. "Towards using a thermal infrared index combined with water balance modelling to monitor sugarcane irrigation in a tropical environment," Agricultural Water Management, Elsevier, vol. 97(1), pages 75-82, January.
    • Handle: RePEc:eee:agiwat:v:97:y:2010:i:1:p:75-82
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(09)00243-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Alderfasi, Ali Abdullah & Nielsen, David C., 2001. "Use of crop water stress index for monitoring water status and scheduling irrigation in wheat," Agricultural Water Management, Elsevier, vol. 47(1), pages 69-75, February.
    2. Green, Steve R. & Kirkham, M.B. & Clothier, Brent E., 2006. "Root uptake and transpiration: From measurements and models to sustainable irrigation," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 165-176, November.
    3. Chopart, J.L. & Mezino, M. & Aure, F. & Le Mezo, L. & Mete, M. & Vauclin, M., 2007. "OSIRI: A simple decision-making tool for monitoring irrigation of small farms in heterogeneous environments," Agricultural Water Management, Elsevier, vol. 87(2), pages 128-138, January.
    4. Clothier, Brent E. & Green, Steven R., 1994. "Rootzone processes and the efficient use of irrigation water," Agricultural Water Management, Elsevier, vol. 25(1), pages 1-12, February.
    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. Luan, Yajun & Xu, Junzeng & Lv, Yuping & Liu, Xiaoyin & Wang, Haiyu & Liu, Shimeng, 2021. "Improving the performance in crop water deficit diagnosis with canopy temperature spatial distribution information measured by thermal imaging," Agricultural Water Management, Elsevier, vol. 246(C).
    2. Morales-Santos, Angela & Nolz, Reinhard, 2023. "Assessment of canopy temperature-based water stress indices for irrigated and rainfed soybeans under subhumid conditions," Agricultural Water Management, Elsevier, vol. 279(C).
    3. Erdem, Yesim & Arin, Levent & Erdem, Tolga & Polat, Serdar & Deveci, Murat & Okursoy, Hakan & Gültas, Hüseyin T., 2010. "Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L. var. italica)," Agricultural Water Management, Elsevier, vol. 98(1), pages 148-156, December.
    4. Katimbo, Abia & Rudnick, Daran R. & DeJonge, Kendall C. & Lo, Tsz Him & Qiao, Xin & Franz, Trenton E. & Nakabuye, Hope Njuki & Duan, Jiaming, 2022. "Crop water stress index computation approaches and their sensitivity to soil water dynamics," Agricultural Water Management, Elsevier, vol. 266(C).
    5. Candogan, Burak Nazmi & Sincik, Mehmet & Buyukcangaz, Hakan & Demirtas, Cigdem & Goksoy, Abdurrahim Tanju & Yazgan, Senih, 2013. "Yield, quality and crop water stress index relationships for deficit-irrigated soybean [Glycine max (L.) Merr.] in sub-humid climatic conditions," Agricultural Water Management, Elsevier, vol. 118(C), pages 113-121.

    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. Erdem, Yesim & Arin, Levent & Erdem, Tolga & Polat, Serdar & Deveci, Murat & Okursoy, Hakan & Gültas, Hüseyin T., 2010. "Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L. var. italica)," Agricultural Water Management, Elsevier, vol. 98(1), pages 148-156, December.
    2. Janik, Grzegorz & Kłosowicz, Izabela & Walczak, Amadeusz & Adamczewska-Sowińska, Katarzyna & Jama-Rodzeńska, Anna & Sowiński, Józef, 2021. "Application of the TDR technique for the determination of the dynamics of the spatial and temporal distribution of water uptake by plant roots during injection irrigation," Agricultural Water Management, Elsevier, vol. 252(C).
    3. Margarita A. Petoussi & Nicolas Kalogerakis, 2023. "Mathematical Modeling of Pilot Scale Olive Mill Wastewater Phytoremediation Units," Sustainability, MDPI, vol. 15(11), pages 1-36, May.
    4. Behera, S. & Jha, Madan K. & Kar, S., 2003. "Dynamics of water flow and fertilizer solute leaching in lateritic soils of Kharagpur region, India," Agricultural Water Management, Elsevier, vol. 63(2), pages 77-98, December.
    5. Fabio V. Difonzo & Costantino Masciopinto & Michele Vurro & Marco Berardi, 2021. "Shooting the Numerical Solution of Moisture Flow Equation with Root Water Uptake Models: A Python Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2553-2567, June.
    6. Cai, Fu & Zhang, Yushu & Mi, Na & Ming, Huiqing & Zhang, Shujie & Zhang, Hui & Zhao, Xianli, 2020. "Maize (Zea mays L.) physiological responses to drought and rewatering, and the associations with water stress degree," Agricultural Water Management, Elsevier, vol. 241(C).
    7. Fang, Q.X. & Ma, L. & Green, T.R. & Yu, Q. & Wang, T.D. & Ahuja, L.R., 2010. "Water resources and water use efficiency in the North China Plain: Current status and agronomic management options," Agricultural Water Management, Elsevier, vol. 97(8), pages 1102-1116, August.
    8. Mukherjee, Subham & Nandi, Ramprosad & Kundu, Arnab & Bandyopadhyay, Prasanta Kumar & Nalia, Arpita & Ghatak, Priyanka & Nath, Rajib, 2022. "Soil water stress and physiological responses of chickpea (Cicer arietinum L.) subject to tillage and irrigation management in lower Gangetic plain," Agricultural Water Management, Elsevier, vol. 263(C).
    9. Candogan, Burak Nazmi & Sincik, Mehmet & Buyukcangaz, Hakan & Demirtas, Cigdem & Goksoy, Abdurrahim Tanju & Yazgan, Senih, 2013. "Yield, quality and crop water stress index relationships for deficit-irrigated soybean [Glycine max (L.) Merr.] in sub-humid climatic conditions," Agricultural Water Management, Elsevier, vol. 118(C), pages 113-121.
    10. Li, L. & Nielsen, D.C. & Yu, Q. & Ma, L. & Ahuja, L.R., 2010. "Evaluating the Crop Water Stress Index and its correlation with latent heat and CO2 fluxes over winter wheat and maize in the North China plain," Agricultural Water Management, Elsevier, vol. 97(8), pages 1146-1155, August.
    11. Home, P. G. & Panda, R. K. & Kar, S., 2002. "Effect of method and scheduling of irrigation on water and nitrogen use efficiencies of Okra (Abelmoschus esculentus)," Agricultural Water Management, Elsevier, vol. 55(2), pages 159-170, June.
    12. Xi, Benye & Wang, Ye & Jia, Liming & Bloomberg, Mark & Li, Guangde & Di, Nan, 2013. "Characteristics of fine root system and water uptake in a triploid Populus tomentosa plantation in the North China Plain: Implications for irrigation water management," Agricultural Water Management, Elsevier, vol. 117(C), pages 83-92.
    13. Li, Xudong & Zhao, Yong & Xiao, Weihua & Yang, Mingzhi & Shen, Yanjun & Min, Leilei, 2017. "Soil moisture dynamics and implications for irrigation of farmland with a deep groundwater table," Agricultural Water Management, Elsevier, vol. 192(C), pages 138-148.
    14. Yang, Kaijing & Wang, Fengxin & Shock, Clinton C. & Kang, Shaozhong & Huo, Zailin & Song, Na & Ma, Dan, 2017. "Potato performance as influenced by the proportion of wetted soil volume and nitrogen under drip irrigation with plastic mulch," Agricultural Water Management, Elsevier, vol. 179(C), pages 260-270.
    15. Hou, Lizhu & Wenninger, Jochen & Shen, Jiangen & Zhou, Yangxiao & Bao, Han & Liu, Haijun, 2014. "Assessing crop coefficients for Zea mays in the semi-arid Hailiutu River catchment, northwest China," Agricultural Water Management, Elsevier, vol. 140(C), pages 37-47.
    16. Patel, Neelam & Rajput, T.B.S., 2007. "Effect of drip tape placement depth and irrigation level on yield of potato," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 209-223, March.
    17. Widmoser, P., 2010. "An alternative to define canopy surface temperature bounds," Agricultural Water Management, Elsevier, vol. 97(2), pages 224-230, February.
    18. Mathobo, Rudzani & Marais, Diana & Steyn, Joachim Martin, 2018. "Calibration and validation of the SWB model for dry beans (Phaseolus vulgaris L.) at different drought stress levels," Agricultural Water Management, Elsevier, vol. 202(C), pages 113-121.
    19. Starr, G.C. & Rowland, D. & Griffin, T.S. & Olanya, O.M., 2008. "Soil water in relation to irrigation, water uptake and potato yield in a humid climate," Agricultural Water Management, Elsevier, vol. 95(3), pages 292-300, March.
    20. Chamara, Nipuna & Islam, Md Didarul & Bai, Geng (Frank) & Shi, Yeyin & Ge, Yufeng, 2022. "Ag-IoT for crop and environment monitoring: Past, present, and future," Agricultural Systems, Elsevier, vol. 203(C).

    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:agiwat:v:97:y:2010:i:1:p:75-82. 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/agwat .

    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.