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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Northern Hemisphere Snow-Covered Area Mapping: Optical Versus Active and Passive Microwave Data
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Northern Hemisphere Snow-Covered Area Mapping: Optical Versus Active and Passive Microwave Data

机译：北半球雪域覆盖图：光学与有源和无源微波数据

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摘要

Spaceborne passive microwave data have been available for the past 27 years, and have supported the development of several algorithms for the retrieval of snow water equivalent and snow depth that, in turn, can be used for mapping snow-covered areas. In contrast, only recently has the application of spaceborne active microwave instruments been investigated for remote sensing of snow on a global scale. This raises the question of whether a technique combining active and passive microwave data can improve the mapping of snow parameters with respect to techniques based solely on passive data. In this letter, we report results concerning the mapping of snow-covered area (SCA) in the Northern Hemisphere between the years 2000 and 2004 derived from the combination of the brightness temperatures at 19.35 and 37 GHz measured by the Special Sensor Microwave Imager Radiometer with backscatter coefficients at 13.4 GHz measured by the NASA's QuickSCAT. SCA derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) is used as a reference to evaluate the performance of the microwave-based techniques and their combination. Results show that, generally, the technique using passive data provides better agreement with MODIS SCA than the technique using only scatterometer data. However, the results when both datasets are used show considerable improvement, demonstrating the potential benefits of a multisensor approach.
机译：太空无源微波数据在过去的27年中一直可用，并支持了几种用于检索雪水当量和雪深的算法的开发，这些算法又可用于测绘积雪区域。相比之下，直到最近，才在全球范围内研究了星载有源微波仪器在冰雪遥感方面的应用。这就提出了一个问题，即相对于仅基于无源数据的技术，结合有源和无源微波数据的技术是否可以改善雪参数的映射。在这封信中，我们报告了有关2000年至2004年北半球积雪区域（SCA）的制图结果，该结果是由特殊传感器微波成像仪辐射计测量的19.35和37 GHz亮温与由NASA的QuickSCAT测量的13.4 GHz的反向散射系数。源自中等分辨率成像光谱仪（MODIS）的SCA被用作评估基于微波的技术及其组合的性能的参考。结果表明，与仅使用散射仪数据的技术相比，使用无源数据的技术通常与MODIS SCA的一致性更好。但是，使用这两个数据集时的结果显示出了很大的改进，证明了多传感器方法的潜在好处。

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