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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Improving soil wetness variations monitoring from passive microwave satellite data: The case of April 2000 Hungary flood
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Improving soil wetness variations monitoring from passive microwave satellite data: The case of April 2000 Hungary flood

机译：通过无源微波卫星数据改善土壤湿度变化的监测：以2000年4月匈牙利洪灾为例

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Precipitation-runoff processes are correlated with catchment's hydrological conditions before the precipitation. Thus, an estimation of these conditions, particularly regarding soil wetness variations, is of considerable importance to improve the reliability of flood warning. In this paper, a new methodology is presented which, on the basis of microwave satellite observations, could permit us to monitor soil wetness variations at a global scale. The proposed method seems able to overcome the problems connected to surface roughness and vegetation cover that mainly limit the soil moisture estimations from satellite in the microwave region.Preliminary results achieved for the flooding event which occurred in the Carpathian basin (Hungary) in April 2000 will be described in detail. They seem to confirm the reliability of the proposed technique in the identification of different amounts of soil wetness, not only during and after the considered event, but, in order to possibly use it for warning system purposes, in the phase preceding the event as well.Such an approach is automatic and, for construction, globally exportable. Moreover, because of the complete independence from the specific satellite platform, such a technique could be easily exported to the new generation of satellite sensors with improved performances like AMSR-E aboard EOS-Aqua and MIRAS aboard SMOS. (c) 2005 Elsevier Inc. All rights reserved.
机译：降水-径流过程与降水之前流域的水文条件相关。因此，对这些条件的评估，特别是关于土壤湿度变化的评估，对于提高洪水预警的可靠性非常重要。在本文中，提出了一种新方法，该方法基于微波卫星的观测，可以使我们在全球范围内监测土壤湿度变化。所提出的方法似乎能够克服与表面粗糙度和植被覆盖有关的问题，这些问题主要限制了微波地区卫星对土壤水分的估计。2000年4月在喀尔巴阡盆地（匈牙利）发生的洪水事件的初步结果将是详细说明。他们似乎证实了所提出的技术不仅可以在考虑的事件发生期间和之后识别不同数量的土壤湿度，而且还可以在事件发生之前的阶段将其用于预警系统，以确保其可靠性。这种方法是自动的，并且对于建筑业来说，是全球可出口的。此外，由于与特定卫星平台的完全独立性，该技术可以轻松地输出到具有改进性能的新一代卫星传感器，例如EOS-Aqua上的AMSR-E和SMOS上的MIRAS。 （c）2005 Elsevier Inc.保留所有权利。

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