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Annual groundwater evapotranspiration mapped from single satellite scenes

机译:从单卫星场景绘制的年度地下水蒸散量

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Evapotranspiration (ET) data measured using micrometeorological equipment were obtained from three separate studies conducted in and and semi-arid shallow groundwater environments in California, New Mexico and Colorado. These locations have great diversity in (1) climate expression: monsoon versus Mediterranean annual precipitation patterns and comparatively long versus short growing seasons; and in (2) vegetation cover: alkali scrub, shallow groundwater meadows, and monocultures of saltcedar and cottonwood. Actual ET (ETA measured from 24 site- and year-combinations was paired with NDVI*, a derivation of normalized difference vegetation index. NDVI* was extracted from corresponding locations in nine mid-summer Landsat TM5 and TM7 scenes during 1999-2002, with single mid-summer scenes used for estimation of annual total ETa. NDVI* was a competent estimator of a derivation of ET, ET*, calculated by subtracting annualized precipitation and normalizing by an annualized reference ET, (ET0). This relationship was used to estimate annual total ETa, derived solely from remote sensing and weather data. Residual error decreased as ETa increased with well-balanced data scatter indicating lack of systematic error. These results demonstrate a simple and robust method that can be used to map annual ET as a first-order approximation from a single mid-summer satelite scene for any and or semi-arid shallow groundwater environment where sufficient weather data exist for calculating annual precipitation and reference ET. (C) 2007 Elsevier B.V. All rights reserved.
机译:使用微气象设备测量的蒸发蒸腾量(ET)数据来自在加利福尼亚,新墨西哥州和科罗拉多州的浅水和半干旱浅水环境中进行的三项单独研究。这些地区在(1)气候表达方面具有很大的差异:季风与地中海的年降水量模式以及相对较长与较短的生长期; (2)植被覆盖:碱灌丛,浅水草甸和盐杉和三角叶杨的单作。实际ET(根据24个地点和年份组合测得的ETA与NDVI *配对,NDVI *是归一化差异植被指数的来源。NDVI*是从1999-2002年9个仲夏Landsat TM5和TM7场景的相应位置提取的,用于估计年度总排放量的单个仲夏场景NDVI *是ET推导的有效估算器,ET *是通过减去年降水量并用年参考ET归一化(ET0)来计算的。估算仅由遥感和天气数据得出的年度总ETa。随着ETa的增加,剩余误差减小,而数据分散良好,表明没有系统误差,这些结果证明了一种简单而可靠的方法可用于将年度ET映射为对于任何和/或半干旱的浅层地下水环境,从单个仲夏卫星场景进行的一阶近似,其中存在足够的天气数据来计算年降水量和参考ET。 (C)2007 Elsevier B.V.保留所有权利。

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