Quantifying water stress on wheat using remote sensing in the Yaqui Valley, Sonora, Mexico
Quantifying water stress on wheat using remote sensing in the Yaqui Valley, Sonora, Mexico
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利用遥感技术量化墨西哥索诺拉州亚基山谷小麦的水分胁迫
DOI：
10.1016/j.agwat.2008.01.016
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发表时间：
2008
影响因子：
6.7
通讯作者：
E. Vivoni
中科院分区：
文献类型：
--
作者：
L. Méndez;J. Garatuza‐Payán;E. Vivoni
遥感可以通过在作物需要时或出现缺水症状时浇水来实现更有效的灌溉用水管理。本研究利用卫星遥感影像分析了索诺拉州雅基河谷小麦水分亏缺指数（WDI）和作物蒸散量（ET）的时空分布特征。我们利用了一个基于冠层温度-植被覆盖关系的经验模型，即Moran梯形。分析和讨论了区域和局地尺度上WDI和ET的时空分布。结果显示WDI值与最后一次灌溉后的天数呈线性关系（R2=0.96）。水分亏缺指数可用于估算小麦有效水分的数量和了解作物所遭受的胁迫程度。这种方法的优点包括在部分或完全没有植被覆盖的地区以及在缺乏传统水管理所需数据的大型灌溉计划中获得WDI和蒸散发值。
Remote sensing can allow a more efficient irrigation water management by applying the water when crops require it or when symptoms of water stress appear. In this study, the spatial and temporal distribution of the water deficit index (WDI) and crop evapotranspiration (ET) in wheat were determined through analysis of satellite-based remote sensing images in the Yaqui Valley, Sonora, México. We utilize an empirical model based on the canopy temperature–vegetation cover relationship methodology known as the Moran's trapezoid. We analyze and discuss the spatial and temporal distributions of WDI and ET at the regional and local scales. Results show a linear relationship (R2=0.96) between the values of WDI and the number of days elapsed since the last irrigation. The water deficit index could be utilized to estimate the quantity of available water in wheat and to know the degree of stress presented by the crop. Advantages offered by this methodology include obtaining WDI and evapotranspiration values in zones with partial or null vegetation cover and for large irrigation schemes lacking the necessary data for traditional water management.