Validation of two Huanjing-1A/B satellite-based FAO-56 models for estimating winter wheat crop evapotranspiration during mid-season
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DOI: 10.1016/j.agwat.2017.04.017
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- Yang, Xiaolin & Jin, Xinnan & Chu, Qingquan & Pacenka, Steven & Steenhuis, Tammo S., 2021. "Impact of climate variation from 1965 to 2016 on cotton water requirements in North China Plain," Agricultural Water Management, Elsevier, vol. 243(C).
- Pôças, I. & Calera, A. & Campos, I. & Cunha, M., 2020. "Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches," Agricultural Water Management, Elsevier, vol. 233(C).
- Chao Dong & Gengxing Zhao & Yuanwei Qin & Hong Wan, 2019. "Area extraction and spatiotemporal characteristics of winter wheat–summer maize in Shandong Province using NDVI time series," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-19, December.
- Rozenstein, Offer & Haymann, Nitai & Kaplan, Gregoriy & Tanny, Josef, 2018. "Estimating cotton water consumption using a time series of Sentinel-2 imagery," Agricultural Water Management, Elsevier, vol. 207(C), pages 44-52.
- Zhang, Yu & Han, Wenting & Zhang, Huihui & Niu, Xiaotao & Shao, Guomin, 2023. "Evaluating maize evapotranspiration using high-resolution UAV-based imagery and FAO-56 dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 275(C).
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Keywords
Crop evapotranspiration; FAO-56 model; Crop coefficient; Vegetation index; Winter wheat;All these keywords.
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