Acta Geographica Sinica, Volume. 75, Issue 9, 1879(2020)
Fig. 3. Comparison between simulated and observed variables of soybean
Fig. 4. Daily leaf area index (LAI) outputs from 512 simulations of the CROPGRO-Soybean model
Fig. 5. The coefficient of determination for the regression models
Fig. 6. The maximum LAI and its specific observation dates of early and late growing season windows obtained from Sentinel-2 in 2018
Fig. 7. Estimated yields by calibrated CROPGRO-Soybean model under different cold injury scenarios
Fig. 9. Spatial distribution of estimated yields in normal year (2017) and cold year (2018)
Fig. 10. The spatial distribution of yield losses in 2018 relative to 2017
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Juan CAO, Zhao ZHANG, Liangliang ZHANG, Yuchuan LUO, Ziyue LI, Fulu TAO.
Received: Jun. 15, 2019
Accepted: --
Published Online: Apr. 14, 2021
The Author Email: Zhao ZHANG (zhangzhao@bnu.edu.cn)