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Monitoring of soil wetness variation using satellite microwave observations from the direct broadcast receiving system at IMD

机译:利用IMD直接广播接收系统的卫星微波观测监测土壤湿度变化

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Satellite remote sensing of soil related content for hydrological purposes have been considerably studied and developed over past three decades. This soil estimation by means of remote sensing depends upon the measurements of electromagnetic energy that has either been reflected or emitted from the soil surface and are accessible to remote sensing through measurements at the thermal infrared and microwave wavelengths. Recent advances in remote sensing, in the last few years, have shown that microwave techniques have the ability to measure soil moisture/wetness monitoring under a variety of topographic and vegetation cover conditions quantitatively. This is due to the all-weather and all-time capability of these data, as well as to their high sensitivity to water content in the soil. This study utilize the approach to investigate the soil wetness variation over the Jammu and Kashmir(J&K), which experienced one of the worst floods in the past 60 years, during first week of September 2014, due to unprecedented and intense rains. The Soil Wetness Estimation (SWE) has been computed from the data acquired by real time direct broadcast (DB) receiving system installed at three places of India Meteorological Department (IMD) using microwave radiometer AMSU (Advanced Microwave Sounding Unit), flying aboard NOAA (National Oceanic and Atmospheric Administration) polar satellites. A multi-temporal analysis of AMSU channel 15 (at 89 GHz) and channel 1 (at 23 GHz) have been used to find the variation of SWE. In the present analysis, the proposed SWE indicator has been very well brought out the soil wetness changes specifically for the flood event which could give some indication of early 'signals' of an anomalous value of soil water content. In order to improve the forecast capabilities over the tropics, SWE approach is found to be promising for operational use.
机译:在过去三十年中,已经大大研究和开发了用于水文目的的土壤相关内容的卫星遥感。通过遥感的这种土壤估计取决于电磁能量的测量,该电磁能量已经从土壤表面反射或发射,并且可以通过热红外和微波波长的测量来遥感。遥感的最新进展,在过去的几年中,已经表明,微波技术具有定量各种地形和植被覆盖条件下测量土壤湿度/湿度监测的能力。这是由于这些数据的全天候和历史能力,以及它们对土壤中的水含量的高敏感性。本研究利用了研究Jammu和Kashmir(J&K)的土壤湿润变化的方法,该方法在2014年9月的第一周,由于前所未有和强烈的降雨,在过去的60年中经历过最严重的洪水之一。使用微波辐射计AMSU(先进的微波探测单元),从安装在印度气象部门(IMD)的三个地点的实时直播(DB)接收系统所获得的数据来计算土壤湿度估计(SWE)。飞行的NOAA(国家海洋和大气管理)极地卫星。 AMSU通道15(处于89GHz)和通道1(在23GHz)的多时间分析已被用于找到SWE的变化。在本分析中,拟议的SWE指标非常好地带来土壤湿度,专门针对洪水事件的变化,这可能会赋予土壤含水量异常值的早期“信号”的一些指示。为了改善热带地区的预测能力,发现SWE方法是有希望进行操作使用。

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