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On the remote sensing of oceanic and atmospheric convection in the Greenland Sea by synthetic aperture radar

机译:合成孔径雷达对格陵兰海海洋和大气对流的遥感研究

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摘要

In this paper we discuss characteristic properties of radar signatures of oceanic and atmospheric convection features in the Greenland Sea. If the water surface is clean (no surface films or ice coverage), oceanic and atmospheric features can become visible in radar images via a modulation of the surface roughness, and their radar signatures can be very similar. For an unambiguous interpretation and for the retrieval of quantitative information on current and wind variations from radar imagery with such signatures, theoretical models of current and wind phenomena and their radar imaging mechanisms must be utilized. We demonstrate this approach with the analysis of some synthetic aperture radar (SAR) images acquired by the satellites ERS-2 and RADARSAT-1. In one case, an ERS-2 SAR image and a RADARSAT-1 ScanSAR image exhibit pronounced cell-like signatures with length scales on the order of 10-20 km and modulation depths of about 5-6 dB and 9-10 dB, respectively. Simulations with a numerical SAR imaging model and various input current and wind fields reveal that the signatures in both images can be explained consistently by wind variations on the order of ±2.5 m/s, but not by surface current variations on realistic orders of magnitude. Accordingly, the observed features must be atmospheric convection cells. This is confirmed by visible typical cloud patterns in a NOAA AVHRR image of the test scenario. In another case, the presence of an oceanic convective chimney is obvious from in situ data, but no signatures of it are visible in an ERS-2 SAR image. We show by numerical simulations with an oceanic convection model and our SAR imaging model that this is consistent with theoretical predictions, since the current gradients associated with the observed chimney are not sufficiently strong to give rise to significant signatures in an ERS-2 SAR image under the given conditions. Further model results indicate that it should be generally difficult to observe oceanic convection features in the Greenland Sea with ERS-2 or RADARSAT-1 SAR, since their signatures resulting from pure wave-current interaction will be too weak to become visible in the noisy SAR images in most cases. This situation will improve with the availability of future high-resolution SARs such as RADARSAT-2 SAR in fine resolution mode (2004) and TerraSAR-X (2005), which will offer significantly reduced speckle noise fluctuations at comparable spatial resolutions and thus a much better visibility of small image intensity variations on spatial scales on the order of a few hundred meters. Copyright 2004 by the American Geophysical Union.
机译:在本文中,我们讨论了格陵兰海海洋和大气对流特征的雷达信号特征。如果水面是干净的(没有表面膜或冰覆盖),则通过调节表面粗糙度,海洋和大气特征可以在雷达图像中变得可见,并且它们的雷达信号可能非常相似。为了进行明确的解释并从具有此类特征的雷达图像中检索有关风和风变化的定量信息,必须使用电流和风现象的理论模型及其雷达成像机制。我们通过分析由卫星ERS-2和RADARSAT-1捕获的一些合成孔径雷达(SAR)图像来证明这种方法。在一种情况下,ERS-2 SAR图像和RADARSAT-1 ScanSAR图像表现出明显的细胞样特征,其长度尺度分别为10-20 km和调制深度分别为约5-6 dB和9-10 dB 。用数字SAR成像模型以及各种输入电流和风场进行的仿真表明,两个图像中的特征可以通过±2.5 m / s数量级的风速变化来一致地解释,而不能通过实际数量级的地表电流变化来解释。因此,观察到的特征必须是大气对流单元。通过测试方案的NOAA AVHRR图像中可见的典型云模式可以确认这一点。在另一种情况下,从原位数据可以明显看出海洋对流烟囱的存在,但是在ERS-2 SAR图像中看不到其签名。我们通过海洋对流模型和SAR成像模型进行的数值模拟表明,这与理论预测是一致的,因为与观测到的烟囱相关的电流梯度不够强,无法在ERS-2 SAR图像中产生显着特征给定条件。进一步的模型结果表明,通常很难用ERS-2或RADARSAT-1 SAR观测格陵兰海的海洋对流特征,因为它们的纯波流相互作用产生的信号太弱而无法在嘈杂的SAR中看到在大多数情况下都是图像。随着未来的高分辨率SAR的出现,这种情况将得到改善,例如处于高分辨率模式的RADARSAT-2 SAR(2004)和TerraSAR-X(2005),这将在相当的空间分辨率下大大降低斑点噪声的波动,从而大大降低在几百米左右的空间尺度上,较小的图像强度变化的可见性更好。美国地球物理联合会2004年版权所有。

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