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首页> 外文期刊>The Science of the Total Environment >Integrating eddy fluxes and remote sensing products in a rotational grazing native tallgrass prairie pasture
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Integrating eddy fluxes and remote sensing products in a rotational grazing native tallgrass prairie pasture

机译:在旋转放牧的原生高草草原牧场中集成涡流和遥感产品

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摘要

Eddy covariance (EC) systems provide integrated fluxes within their footprint areas. Spatial heterogeneity of up-scaled areas and spatio-temporal mismatches between EC footprint and remote sensing pixels jeopardize the performance of most satellite-based models. To examine the impact of spatial resolution of satellite products on up-scaling of fluxes, we compared the relationships between measured eddy fluxes and enhanced vegetation index (EVI) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) at 500 and 250 m spatial resolutions, Visible Infrared Imaging Radiometer Suite (VIIRS) at 500 m spatial resolution, and Landsat at 30 m spatial resolution but integrated at the paddock-scale. The experiment was conducted over a grazed native tallgrass prairie pasture, which was divided into nine paddocks for rotational grazing. The EVI data from all satellites showed consistency in detecting vegetation phenology. Seasonality of EC-measured fluxes corresponded well with remotely-sensed vegetation phenology. Approximately 80% of contribution to eddy fluxes came from within 80 m upwind distance of the 2.7 m tall EC tower. As a result, the major contributing area for the measured fluxes was mostly limited to the paddock containing the EC tower. Different timings and duration of grazing caused some heterogeneity among paddocks within the pasture. The EVI of different spatial scales showed strong relationships with CO_2 fluxes. However, Landsat-derived EVI integrated for the paddock containing the EC tower showed substantially stronger relationships with CO_2 fluxes than did MODIS and VIIRS-derived EVI integrated for multiple paddocks, most likely due to similar spatial resolutions of remote sensing and EC observations. Results illustrate that satellite products of fine-scale spatial resolution that are comparable to EC footprints can help improve the performance of satellite-based models for modeling or up-scaling of eddy fluxes, especially in heterogeneous ecosystems.
机译:涡动协方差(EC)系统在其覆盖区域内提供积分通量。扩大区域的空间异质性以及EC足迹和遥感像素之间的时空失配会危害大多数基于卫星的模型的性能。为了检验卫星产品的空间分辨率对通量放大的影响,我们比较了在500和250 m空间分辨率下测得的涡通量与从中等分辨率成像光谱仪(MODIS)得出的增强植被指数(EVI)之间的关系,空间分辨率为500 m的可见红外成像辐射计套件(VIIRS),空间分辨率为30 m的Landsat,但以围场规模集成。实验是在放牧的天然草丛草原牧场上进行的,该牧场分为9个围场进行轮牧。来自所有卫星的EVI数据显示出在检测植物物候方面的一致性。 EC测得的通量的季节性与遥感植被物候相吻合。涡流的贡献中约有80%来自2.7 m高EC塔的上风向80 m以内。结果,被测通量的主要贡献区域主要限于包含EC塔的围场。不同的放牧时间和持续时间在牧场内的牧场之间造成了一些异质性。不同空间尺度的EVI显示出与CO_2通量的强烈关系。但是,集成到包含EC塔的围场的Landsat派生的EVI与集成到多个围场的MODIS和VIIRS派生的EVI相比,与CO_2通量的关系要强得多,这很可能是由于遥感和EC观测的空间分辨率相似。结果表明,与EC足迹可比的具有精细尺度空间分辨率的卫星产品可以帮助改善基于卫星的模型,用于建模或按比例放大涡流,特别是在异构生态系统中。

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