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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >A downscaling framework for L band radiobrightness temperature imagery - art. no. 8863
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A downscaling framework for L band radiobrightness temperature imagery - art. no. 8863

机译:用于L波段辐射亮度温度成像的缩小框架-艺术。没有。 8863

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In this paper we introduce a general downscaling framework and apply it to L band microwave radiobrightness temperature fields retrieved from electronically scanned thinned array radiometer (ESTAR). The gist of the downscaling scheme presented in this paper is the statistical characterization of scale-invariant properties of the wavelet coefficients or fluctuations from long memory 1/f processes. We test the proposed downscaling framework with the radiobrightness temperature images collected during the Southern Great Plains hydrology experiment of 1997. We produce realizations of radiobrightness temperature at 800-m resolution given a mean-area value at approximately 30-km resolution (the near-future expected operational scale). The results obtained evince that the proposed downscaling methodology is capable of accurately preserving the variability and overall structure of spatial dependence of the observed radiobrightness temperature fields. [References: 44]
机译:在本文中,我们介绍了一个通用的降尺度框架,并将其应用于从电子扫描薄阵列辐射计(ESTAR)检索到的L波段微波辐射亮度温度场。本文提出的降尺度方案的要点是小波系数的尺度不变性质或来自长存储1 / f过程的波动的统计表征。我们用在1997年南部大平原水文实验中收集的放射亮度温度图像测试了拟议的降尺度框架。我们给出了800 m分辨率下的放射亮度温度的实现,给定了大约30 km分辨率下的平均面积值(近期预期的经营规模)。获得的结果表明,所提出的缩小尺度方法能够准确地保留观测到的无线电亮度温度场的变化性和空间依赖性的整体结构。 [参考:44]

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