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Calibration of the AquaCrop model for winter wheat using MODIS LAI images

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  • Trombetta, Andrea
  • Iacobellis, Vito
  • Tarantino, Eufemia
  • Gentile, Francesco

Abstract

In semi-arid environments vegetation density and distribution is of considerable importance for the hydrological water balance. A number of hydrological models exploit Leaf Area Index (LAI) maps retrieved by remote sensing as a measure of the vegetation cover, in order to enhance the evaluation of evapotranspiration and interception losses.

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  • Trombetta, Andrea & Iacobellis, Vito & Tarantino, Eufemia & Gentile, Francesco, 2016. "Calibration of the AquaCrop model for winter wheat using MODIS LAI images," Agricultural Water Management, Elsevier, vol. 164(P2), pages 304-316.
    • Handle: RePEc:eee:agiwat:v:164:y:2016:i:p2:p:304-316
    DOI: 10.1016/j.agwat.2015.10.013
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    References listed on IDEAS

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    1. Salazar, Osvaldo & Wesström, Ingrid & Youssef, Mohamed A. & Skaggs, R. Wayne & Joel, Abraham, 2009. "Evaluation of the DRAINMOD-N II model for predicting nitrogen losses in a loamy sand under cultivation in south-east Sweden," Agricultural Water Management, Elsevier, vol. 96(2), pages 267-281, February.
    2. Andarzian, B. & Bannayan, M. & Steduto, P. & Mazraeh, H. & Barati, M.E. & Barati, M.A. & Rahnama, A., 2011. "Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran," Agricultural Water Management, Elsevier, vol. 100(1), pages 1-8.
    3. M. Rinaldi & A. Castrignanò & D. De Benedetto & D. Sollitto & S. Ruggieri & P. Garofalo & F. Santoro & B. Figorito & S. Gualano & R. Tamborrino, 2015. "Discrimination of tomato plants under different irrigation regimes: analysis of hyperspectral sensor data," Environmetrics, John Wiley & Sons, Ltd., vol. 26(2), pages 77-88, March.
    4. Seyed Ahmadi & Elnaz Mosallaeepour & Ali Kamgar-Haghighi & Ali Sepaskhah, 2015. "Modeling Maize Yield and Soil Water Content with AquaCrop Under Full and Deficit Irrigation Managements," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2837-2853, June.
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    Cited by:

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    2. Sam R. Carroll & Kieu Ngoc Le & Beatriz Moreno-García & Benjamin R. K. Runkle, 2020. "Simulating Soybean–Rice Rotation and Irrigation Strategies in Arkansas, USA Using APEX," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    3. Wang, Youzhi & Guo, Shanshan & Yue, Qing & Mao, Xiaomin & Guo, Ping, 2021. "Distributed AquaCrop simulation-nonlinear multi-objective dependent-chance programming for irrigation water resources management under uncertainty," Agricultural Water Management, Elsevier, vol. 247(C).
    4. Raeisi, Leila Goli & Morid, Saeed & Delavar, Majid & Srinivasan, Raghavan, 2019. "Effect and side-effect assessment of different agricultural water saving measures in an integrated framework," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    5. Si Mokrane Siad & Andrea Gioia & Gerrit Hoogenboom & Vito Iacobellis & Antonio Novelli & Eufemia Tarantino & Pandi Zdruli, 2017. "Durum Wheat Cover Analysis in the Scope of Policy and Market Price Changes: A Case Study in Southern Italy," Agriculture, MDPI, vol. 7(2), pages 1-20, February.
    6. Rosa Lasaponara & Biagio Tucci & Luciana Ghermandi, 2018. "On the Use of Satellite Sentinel 2 Data for Automatic Mapping of Burnt Areas and Burn Severity," Sustainability, MDPI, vol. 10(11), pages 1-13, October.

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