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首页> 外文期刊>International journal of remote sensing >Combining satellite imagery with forest inventory data to assess damage severity following a major blowdown event in northern Minnesota, USA
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Combining satellite imagery with forest inventory data to assess damage severity following a major blowdown event in northern Minnesota, USA

机译:在美国明尼苏达州北部发生重大排污事件后,将卫星图像与森林清单数据结合起来以评估破坏的严重性

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摘要

Effects of a catastrophic blowdown event in northern Minnesota, USA were assessed using field inventory data, aerial sketch maps and satellite image data processed through the North American Forest Dynamics programme. Estimates were produced for forest area and net volume per unit area of live trees pre- and post-disturbance, and for changes in volume per unit area and total volume resulting from disturbance. Satellite image-based estimates of blowdown area were similar to estimates derived from inventory plots and aerial sketch maps. Overall accuracy of the image-based damage classification was over 90%. Compared to field inventory estimates, image-based estimates of post-blowdown mean volume per unit area were similar, but estimates of total volume loss were substantially larger, although inaccessibility of the most severely damaged inventory plots may have depressed the inventory-based estimate. This represents the first application of state model differencing to storm damage assessment. The image-based procedure can be applied to historical archives of satellite imagery and does not require pre-disturbance field inventory data.
机译:使用现场清单数据,空中草图和通过北美森林动力计划处理的卫星图像数据,评估了美国明尼苏达州北部发生的灾难性排污事件的影响。估计了扰动前后森林面积和活树单位面积的净体积,以及扰动引起的单位面积体积和总体积的变化。基于卫星图像的排污面积估算值类似于从库存图和空中草图绘制的估算值。基于图像的损坏分类的总体准确性超过90%。与现场库存估算相比,基于图像的排污后平均单位体积估算值相似,但总体积损失估算值要大得多,尽管无法获得最严重损坏的库存地块可能会压低基于库存的估算值。这代表了差异化状态模型在风暴破坏评估中的首次应用。基于图像的过程可以应用于卫星图像的历史档案,并且不需要预扰动现场清单数据。

著录项

  • 来源
    《International journal of remote sensing》 |2009年第19期|5089-5108|共20页
  • 作者单位

    US Department of Agriculture, Forest Service, Northern Research Station, St Paul, MN, USA;

    US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ogden, UT, USA;

    US Department of Agriculture, Forest Service, Northern Research Station, St Paul, MN, USA;

    US Department of Agriculture, Forest Service, Northern Research Station, St Paul, MN, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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