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DAMAGE ESTIMATION ON AGRICULTURAL CROPS BY A FLOOD

机译:洪水农业农作物的损害估计

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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,特别是在2007年经历了严重洪水的塔巴斯科的平坦,作为测试估算农业农作物损失损失的方法的案例研究。我们提出了对多光谱图像(SPOT-5)的农业土地准确描绘,该农业用地组成的集成分类器槽的大多数投票,即结合空间和光谱信息。最后为了评估洪水的影响,雷达数据(雷达拉特-1)用于两者,划定泛滥程度和估算水深。这些层覆盖在农业作物分类层上,使用深度损伤功能估计作物产量损坏。本研究的结果量化并评估了来自洪水对农业农作物的影响的整体经济损失(有形损坏)。

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