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首页> 外文会议>Remote sensing for agriculture, ecosystems, and hydrology XIII >DAMAGE ESTIMATION ON AGRICULTURAL CROPS BY A FLOOD
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DAMAGE ESTIMATION ON AGRICULTURAL CROPS BY A FLOOD

机译：洪水对农作物的危害估算。

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Southeastern Mexico, particularly Tabasco's flatlands which experienced a severe flood in 2007, was used as a case study for testing a methodology for the estimation of direct damage looses on agricultural crops by flooding. We proposed an accurate delineation of agricultural lands of multispectral images (SPOT-5) which consist on ensemble classifiers trough a majority voting, that combine spatial and spectral information. Finally in order to evaluate the impact of floodwater, a radar data (RADARSAT-1), were used for both, delineating the flood extent and estimating water depth. These layers were overlaid on the agricultural crop classification layer, and crop yield damage was estimated using a depth damage function. The results of this research quantified and evaluated the overall economic loss (tangible damage) from the impact of floodwater on agricultural crops.
机译：墨西哥东南部地区，特别是塔巴斯科州的平地，该地区在2007年遭受了严重洪灾，被用作案例研究，以测试评估洪水造成的农作物直接损失的方法。我们提出了对多光谱图像（SPOT-5）的农业用地的精确描述，该光谱由通过多数表决的集成分类器组成，该分类器结合了空间和光谱信息。最后，为了评估洪水的影响，使用了雷达数据（RADARSAT-1）来描绘洪水范围和估算水深。将这些层覆盖在农作物分类层上，并使用深度破坏函数估算作物的产量损失。这项研究的结果量化并评估了洪水对农作物造成的总体经济损失（有形损害）。

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