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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >A Field Verification of an Algorithm for Retrieving Vegetation Water Content From Passive Microwave Observations
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A Field Verification of an Algorithm for Retrieving Vegetation Water Content From Passive Microwave Observations

机译：被动微波观测反演植被含水量算法的现场验证

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摘要

We present a field-verified algorithm for retrieving vegetation water content (VWC), which is the mass of water in vegetation tissue per ground area, using observed microwave brightness temperatures (TBs). We can use 6.925- and 10.65-GHz microwave observations to minimize the species dependence of the relationship between vegetation optical depth (VOD) and VWC. Then, we can easily estimate the VWC after obtaining the VOD. Although the VOD retrieved at these frequencies is highly affected by uncertainties in the surface roughness, we found that the effects of the bias of the roughness parameters in a radiative transfer model can effectively be eliminated by introducing leaf area index (LAI) data. The TBs observed using ground-based microwave radiometer and field-observed LAI were used to successfully reproduce the field-observed VWC below 2.0 kg/m ( and ). This strategy of surface roughness correction also positively impacts the performance of soil moisture retrieval. This field-verified algorithm can contribute to global-scale VWC retrieval using satellite microwave radiometers such as the Advanced Microwave Scanning Radiometer on Earth Observation Systems (AMSR-E) and its successor (AMSR2).
机译：我们提出了一种现场验证的算法，用于使用观察到的微波亮度温度（TBs）检索植被含水量（VWC），即植被在每个地面区域中的水量。我们可以使用6.925-GHz和10.65-GHz微波观测来最小化植被光学深度（VOD）和VWC之间关系的物种依赖性。然后，我们可以在获得VOD之后轻松估算VWC。尽管在这些频率下获取的VOD受表面粗糙度不确定性的影响很大，但我们发现通过引入叶面积指数（LAI）数据可以有效消除辐射传输模型中粗糙度参数偏差的影响。使用地面微波辐射计和现场观察到的LAI观察到的TB被成功地复制到2.0 kg / m（和）以下的现场观察到的VWC。这种表面粗糙度校正的策略也对土壤水分回收的性能产生积极影响。这种经过现场验证的算法可以使用卫星微波辐射计（例如地球观测系统上的高级微波扫描辐射计（AMSR-E）及其后继产品（AMSR2））促进全球范围内的VWC检索。

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