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ESTIMATING CROP WATER USE FROM REMOTELY SENSED NDVI, CROP MODELS, AND REFERENCE ET

机译:从遥感NDVI,作物模型和参考ET估算作物用水

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Crop water use can be estimated from reference evapotranspiration, ETo, calculated fromrnweather station data, and estimated crop coefficients, Kc. However, because Kc varies with croprngrowth rate, planting density, and management practices, generic Kc curves often don't matchrnactual crop water use. Recent studies have shown that basal crop coefficients, Kcb, are related torncrop light interception or canopy cover; and that canopy cover can be estimated for a widernvariety of crops from remotely sensed observations of the normalized difference vegetationrnindex, NDVI. Combined, these relationships could provide good estimates of Kcb from satelliternor aerial data for a wide variety of crops over large areas. When combined with ground basedrnETo measurements and general knowledge of irrigation methods, crop water use can bernestimated for individual fields and for large regions. Because NDVI data are generally availablernonly intermittently during the season, simple plant growth models can be used to interpolaterncanopy cover between vegetation index measurements, and to extrapolate crop canopy cover intornthe future. This system may improve estimates of crop water use compared to traditional FAO-rn56 methods and provides an alternative to remotely-sensed estimates of ET that use thermal datarnwith surface energy balance calculations.
机译:可以根据参考蒸发蒸腾量ETo(根据气象站数据计算得出)和估计的作物系数Kc来估算作物用水。但是,由于Kc随作物生长速率,种植密度和管理实践而变化,因此通用Kc曲线通常与实际作物用水量不匹配。最近的研究表明,基础作物系数Kcb与农作物的光截留或冠层覆盖有关。并且可以通过对标准化差值植被指数NDVI的遥感观测来估计更广泛的农作物的冠层覆盖度。结合起来,这些关系可以从大面积各种作物的卫星或空中数据中很好地估算出Kcb。与基于地面的灌溉测量方法和灌溉方法的一般知识结合使用时,可以针对各个田地和大面积进行作物水分利用。由于NDVI数据通常在该季节只能间歇性地获得,因此可以使用简单的植物生长模型在植被指数测量之间插补冠层覆盖度,并推断未来的作物冠层覆盖度。与传统的FAO-rn56方法相比,该系统可以改善对作物用水的估计,并为使用热能和表面能平衡计算的ET遥感估计提供替代方法。

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