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- W2088267788 abstract "A quantitative index is applied to monitor crop growth and predict agricultural yield in continental USA. The Climate-Variability Impact Index (CVII), defined as the monthly contribution to overall anomalies in growth during a given year, is derived from 1-km MODIS Leaf Area Index. The growing-season integrated CVII can provide an estimate of the fractional change in overall growth during a given year. In turn these estimates can provide fine-scale and aggregated information on yield for various crops. Trained from historical records of crop production, a statistical model is used to produce crop yield during the growing season based upon the strong positive relationship between crop yield and the CVII. By examining the model prediction as a function of time, it is possible to determine when the in-season predictive capability plateaus and which months provide the greatest predictive capacity." @default.
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- W2088267788 date "2010-07-01" @default.
- W2088267788 modified "2023-09-24" @default.
- W2088267788 title "Monitoring crop yield in USA using a satellite-based climate-variability Impact Index" @default.
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- W2088267788 doi "https://doi.org/10.1109/igarss.2010.5650394" @default.
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