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Remote-sensing assessment of forest damage by Typhoon Saomai and its related factors at landscape scale

机译:景观尺度上的台风“桑美”对森林破坏的遥感评估及相关因素

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摘要

The remote-sensing technique is a cost-effective tool for monitoring large-scale forest damage sustained by typhoon events. Taking Cangnan County as the study area, this study aimed to extract the spatial pattern of damaged forest and determine the influencing factors of Typhoon Saomai in 2006, using Landsat Enhanced Thematic Mapper Plus (ETM+) data before and after the typhoon event. The results showed that 183 km~2 of forest land were damaged by Typhoon Saomai. There was no obvious diverse influence on forest damage within 25 km of Saomai's path, after that the area of damaged forest decreased rapidly. For the land uses of construction, crop, and grass, decrease in normalized difference vegetation index was considerable under 100 m elevation and the number of damaged forest pixels showed positive correlation with vegetation aggregation, because trees standing in isolation, alongside roads, or in small groupings were easily damaged. For forest land, the number of damaged forest pixels decreased with higher elevation and relative aspect; when the relative aspect was in the range 0-40°, the number of damaged forest pixels was highest. Considering the interactive effects of these factors on forest damage caused by the typhoon, vegetation aggregation had the strongest influence followed by elevation, land use, relative aspect, and distance from the typhoon's path.
机译:遥感技术是一种经济高效的工具,可用于监测台风事件造成的大规模森林破坏。本研究以苍南县为研究区域,旨在利用2006年台风前后的Landsat增强主题测绘仪(ETM +)数据,提取受损森林的空间格局,并确定影响台风桑麦的因素。结果表明,台风桑美破坏了183 km〜2的林地。之后,在受损森林面积迅速减少之后,距索迈路径25公里以内的森林破坏没有明显的不同影响。对于建设,农作物和草地的土地利用,在海拔100 m以下,归一化差异植被指数的下降非常可观,并且受损树木的象素数量与植被聚集呈正相关,这是因为树木处于孤立状态,与道路并排或处于小范围内分组很容易损坏。对于林地,随着海拔和相对长宽的增加,受损的森林像素数量减少;当相对纵横比在0-40°范围内时,损坏的森林像素数量最高。考虑到这些因素对台风造成的森林破坏的互动影响,植被聚集的影响最大,其次是海拔,土地利用,相对纵横比以及距台风路径的距离。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第22期|7874-7886|共13页
  • 作者单位

    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210093, China,International Institute for Earth System Science, Nanjing University, Nanjing 210093, China;

    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210093, China,International Institute for Earth System Science, Nanjing University, Nanjing 210093, China;

    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210093, China,International Institute for Earth System Science, Nanjing University, Nanjing 210093, China,State Key Laboratory of Subtropical Forest Science & Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration,Zhejiang Agriculture and Forestry University, Hangzhou 311300, China;

    Research Institute of Subtropical Forestry, Chinese Academy of Forestry Sciences, Fuyang 311400, China;

  • 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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