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Tracking Ecosystem Water Use Efficiency of Cropland by Exclusive Use of MODIS EVI Data

机译:利用MODIS EVI数据追踪农田的生态系统水分利用效率

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One of the most important linkages that couple terrestrial carbon and water cycles is ecosystem water use efficiency (WUE), which is relevant to the reasonable utilization of water resources and farming practices. Eddy covariance techniques provide an opportunity to monitor the variability in WUE and can be integrated with Moderate Resolution Imaging Spectroradiometer (MODIS) observations. Scaling up in situ observations from flux tower sites to large areas remains challenging and few studies have been reported on direct estimation of WUE from remotely-sensed data. This study examined the main environmental factors driving the variability in WUE of corn/soybean croplands, and revealed the prominent role of solar radiation and temperature. Time-series of MODIS-derived enhanced vegetation indices (EVI), which are proxies for the plant responses to environmental controls, were also strongly correlated with ecosystem WUE, thereby implying great potential for remote quantification. Further, both performance of the indirect MODIS-derived WUE from gross primary productivity (GPP) and evapotranspiration (ET), and the direct estimates by exclusive use of MODIS EVI data were evaluated using tower-based measurements. The results showed that ecosystem WUE were overpredicted at the beginning and ending of crop-growth periods and severely underestimated during the peak periods by the indirect estimates from MODIS products, which was mainly attributed to the error source from MODIS GPP. However, a simple empirical model that is solely based on MODIS EVI data performed rather well to capture the seasonal variations in WUE, especially for the growing periods of croplands. Independent validation at different sites indicates the method has potential for broad application.
机译:与陆地碳和水循环耦合的最重要联系之一是生态系统用水效率(WUE),这与合理利用水资源和耕作方式有关。涡度协方差技术为监视WUE的可变性提供了机会,并且可以与中等分辨率成像光谱仪(MODIS)观察相结合。从磁通量塔站点到大面积的原位观测仍面临挑战,而且从遥感数据直接估算WUE的研究还很少。这项研究检查了驱动玉米/大豆农田水分利用效率变化的主要环境因素,并揭示了太阳辐射和温度的重要作用。 MODIS衍生的增强植被指数(EVI)的时间序列,也是植物对环境控制的反应的代表,也与生态系统WUE密切相关,因此暗示了远程量化的巨大潜力。此外,使用基于塔的测量评估了总初级生产力(GPP)和蒸散(ET)的间接MODIS衍生WUE的性能,以及通过独家使用MODIS EVI数据进行的直接估算。结果表明,通过MODIS产品的间接估算,生态系统WUE在作物生长期的开始和结束时被高估,在高峰期被严重低估,这主要归因于MODIS GPP的误差源。但是,仅基于MODIS EVI数据的简单经验模型在捕获WUE的季节性变化方面表现良好,尤其是在农田生长期间。在不同地点的独立验证表明该方法具有广泛应用的潜力。

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