Validating FAO AquaCrop using Landsat images and regional crop information
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DOI: 10.1016/j.agwat.2014.10.013
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- Iqbal, M. Anjum & Shen, Yanjun & Stricevic, Ruzica & Pei, Hongwei & Sun, Hongyoung & Amiri, Ebrahim & Penas, Angel & del Rio, Sara, 2014. "Evaluation of the FAO AquaCrop model for winter wheat on the North China Plain under deficit irrigation from field experiment to regional yield simulation," Agricultural Water Management, Elsevier, vol. 135(C), pages 61-72.
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- Moursi, Hossam & Kim, Daeha & Kaluarachchi, Jagath J., 2017. "A probabilistic assessment of agricultural water scarcity in a semi-arid and snowmelt-dominated river basin under climate change," Agricultural Water Management, Elsevier, vol. 193(C), pages 142-152.
- Foster, T. & Brozović, N. & Butler, A.P. & Neale, C.M.U. & Raes, D. & Steduto, P. & Fereres, E. & Hsiao, T.C., 2017. "AquaCrop-OS: An open source version of FAO's crop water productivity model," Agricultural Water Management, Elsevier, vol. 181(C), pages 18-22.
- Kim, Daeha & Kaluarachchi, Jagath J., 2016. "A risk-based hydro-economic analysis for land and water management in water deficit and salinity affected farming regions," Agricultural Water Management, Elsevier, vol. 166(C), pages 111-122.
- Li, Jiang & Song, Jian & Li, Mo & Shang, Songhao & Mao, Xiaomin & Yang, Jian & Adeloye, Adebayo J., 2018. "Optimization of irrigation scheduling for spring wheat based on simulation-optimization model under uncertainty," Agricultural Water Management, Elsevier, vol. 208(C), pages 245-260.
- Shirazi, Sana Zeeshan & Mei, Xurong & Liu, Buchun & Liu, Yuan, 2021. "Assessment of the AquaCrop Model under different irrigation scenarios in the North China Plain," Agricultural Water Management, Elsevier, vol. 257(C).
- Kim, Daeha & Chun, Jong Ahn & Inthavong, Thavone, 2021. "Managing climate risks in a nutrient-deficient paddy rice field using seasonal climate forecasts and AquaCrop," Agricultural Water Management, Elsevier, vol. 256(C).
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Keywords
AquaCrop validation; Remote sensing model; Crop Observations; Salinity stress.;All these keywords.
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