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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Trends and Variation in Ku-Band Backscatter of Natural Targets on Land Observed in QuikSCAT Data
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Trends and Variation in Ku-Band Backscatter of Natural Targets on Land Observed in QuikSCAT Data

机译:QuikSCAT数据观测到的自然目标在陆地上的Ku波段反向散射趋势和变化

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It has been well known that a few areas on the Earth's surface have a relatively constant backscattering coefficient and can serve as radar calibration targets. Examples include the Amazon rain forest, the Greenland ice sheet, parts of Antarctica, etc. However, there has not been any extensive investigation and quantitative evaluation of these targets in terms of their time variation, isotropy, and spatial variation. Here, we have analyzed a consistent set of Ku-band radar measurements for more than ten years from the QuikSCAT mission. This valuable set of data provides an unprecedented opportunity for us to study the long-term variability of observed backscattering from the Earth's surface at Ku-band. In this paper, we performed a global survey of potential constant land targets and evaluated their variability. Quantitative measurements of temporal and spatial variabilities (homogeneity) and isotropy are used to identify the locations of the best natural calibration targets. We also discuss annual and long-term trends in the data and offer potential explanations for these trends. We examine small regions with the least overall variation. By concentrating on low-variation areas, we can identify useful calibration targets for future radar missions and for intercalibration between existing radars. At the same time, by focusing on regions with little spatial or temporal heterogeneity, we can analyze the temporal variation on diurnal, seasonal, and decadal scales in homogenous natural terrain types including rain forest, dry brushy areas, and ice sheets. We found that rain forest targets in the Amazon and Congo are very stable in time and homogeneous. However, they are subjected to diurnal difference. On the other hand, the Antarctica ice sheet is another good candidate for stable target, but it has seasonal variability. The Greenland ice sheet shows a significant trend in backscatter in recent years, and therefore, may not be a suitable calibration site anymore. Ano- her location for a good stable target is a dry brushy area in the Sahara, which shows comparable stability and isotropy with those of the Amazon, Congo, and Antarctica.
机译:众所周知,地球表面上的一些区域具有相对恒定的反向散射系数,可以用作雷达校准目标。示例包括亚马逊雨林,格陵兰冰原,南极洲的部分地区等。但是,对于这些目标的时间变化,各向同性和空间变化,尚未进行任何广泛的调查和定量评估。在这里,我们分析了QuikSCAT任务执行以来十余年来一致的Ku波段雷达测量结果。这组宝贵的数据为我们研究Ku波段从地球表面观测到的反向散射的长期变化提供了前所未有的机会。在本文中,我们对潜在的恒定土地目标进行了全球调查,并评估了其可变性。时空变异性(均质性)和各向同性的定量测量用于确定最佳自然校准目标的位置。我们还将讨论数据的年度和长期趋势,并为这些趋势提供潜在的解释。我们研究总体变化最小的小区域。通过专注于低变化区域,我们可以为未来的雷达任务和现有雷达之间的相互校准确定有用的校准目标。同时,通过关注空间或时间异质性较小的区域,我们可以分析均质自然地形类型(包括雨林,干旱多草地区和冰原)在日,季节和年代尺度上的时间变化。我们发现,亚马逊和刚果的雨林目标在时间上非常稳定且均一。但是,它们之间存在昼夜差异。另一方面,南极冰盖是稳定目标的另一个很好的候选者,但它具有季节变化性。格陵兰岛冰盖近年来显示出明显的反向散射趋势,因此可能不再适合作为校准地点。取得良好稳定目标的地点是撒哈拉沙漠中干燥的灌木丛地区,该地区的稳定性和各向同性与亚马逊,刚果和南极洲相当。

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