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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Monitoring flood condition in marshes using EM models and Envisat ASAR observations
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Monitoring flood condition in marshes using EM models and Envisat ASAR observations

机译:使用EM模型和Envisat ASAR观测资料监测沼泽中的洪水状况

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摘要

This paper discusses the contribution of multipolarization radar data in monitoring flooding events in wetland areas of the Delta of the Parana/spl acute/ River, in Argentina. The discussion is based on the comparison between radiative transfer model simulations and ENVISAT Advanced Synthetic Aperture Radar observations of two types of marshes: junco and cortadera. When these marshes are flooded, the radar response changes significantly. The differences in radar response between the flooded and nonflooded condition can be related to changes in the amount of emerged biomass. Based on this, we propose a vegetation-dependent flooding prediction scheme for two marsh structures: nearly vertical cylinders (junco-like) and randomly oriented discs (cortadera-like).
机译:本文讨论了多极化雷达数据在监测阿根廷巴拉那/斯普利特急流/河流三角洲湿地地区的洪水事件中的作用。讨论是基于辐射转移模型模拟与ENVISAT高级合成孔径雷达对两种类型的沼泽地(junco和cortadera)进行观测的比较。当这些沼泽被淹没时,雷达响应将发生显着变化。淹没状态和非淹没状态之间雷达响应的差异可能与生出生物量的变化有关。基于此,我们为两种沼泽结构提出了一种依赖植被的洪水预测方案:近乎垂直的圆柱体(类似junco)和随机取向的圆盘(类似cortadera)。

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