ET Mapping with High-Resolution Airborne Remote Sensing Data in an Advective Semiarid Environment

ET Mapping with High-Resolution Airborne Remote Sensing Data in an Advective Semiarid Environment
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平流半干旱环境中高分辨率机载遥感数据的蒸散制图

DOI:
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发表时间:
2012
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通讯作者:
C. Neale
C. Neale
中科院分区:
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文献类型:
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作者:
J. L. Chávez;P. Gowda;T. Howell;L. García;K. S. Copeland;C. Neale

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摘要准确估算空间分布的蒸散发(ET)对于灌区水资源管理和水文模拟至关重要。采用METRIC (Mapping ET at high resolution with Internal Calibration)能量平衡算法从6张高分辨率飞机图像(0.5-2.0 m像素)中获得ET。这些图像是由位于半干旱南部高平原的美国农业部农业研究服务局(USDA- ars)保护和生产研究实验室(CPRL)获得的。遥感(RS)活动发生在2007年夏季种植季节。利用CPRL的5个单片称重溶热计测量的ET数据评估每日ET估计。每小时ET估算的平均误差为-0.7±11.6%;日ET的误差为2.4±9.3%。结果表明,当动量传递的表面粗糙度考虑了非均匀的表面条件时,当草参考ET分数被用来额外计算时,METRIC算法可以很好地估计ET值。
AbstractAccurate estimates of spatially distributed evapotranspiration (ET) are essential for managing water in irrigated regions and for hydrologic modeling. METRIC (Mapping ET at high Resolutions with Internal Calibration) energy balance algorithm was applied to derive ET from six high-resolution aircraft images (0.5–2.0 m pixels). Images were acquired over the USDA Agricultural Research Service (USDA-ARS) Conservation and Production Research Laboratory (CPRL) in the semiarid Southern High Plains. The remote sensing (RS) campaign occurred during the 2007 summer cropping season. Daily ET estimations were evaluated using measured ET data from five monolithic weighing lysimeters located in the CPRL. On average, errors in estimating hourly ET were -0.7±11.6%; for daily ET, errors were 2.4±9.3%. Results indicated that METRIC algorithm estimated ET values well when the surface roughness for momentum transfer considered heterogeneous surface conditions and when the grass reference ET fraction was used to extra...