吴守从, 谢依达, 陈桂嘉, 白林奇, 陈朝圳. 应用遥测技术探讨台湾花莲地区土砂灾害集水区崩塌地的变迁[J]. 工程科学学报, 2009, 31(12): 1503-1510. DOI: 10.13374/j.issn1001-053x.2009.12.023
引用本文: 吴守从, 谢依达, 陈桂嘉, 白林奇, 陈朝圳. 应用遥测技术探讨台湾花莲地区土砂灾害集水区崩塌地的变迁[J]. 工程科学学报, 2009, 31(12): 1503-1510. DOI: 10.13374/j.issn1001-053x.2009.12.023
WU Shou-tsung, HSIEH Yi-ta, CHEN Gui-jia, BAI Lin-chi, CHEN Chaur-tzuhn. Application of the remote sensing technique to monitor landslides of Hualien debris disaster watershed areas[J]. Chinese Journal of Engineering, 2009, 31(12): 1503-1510. DOI: 10.13374/j.issn1001-053x.2009.12.023
Citation: WU Shou-tsung, HSIEH Yi-ta, CHEN Gui-jia, BAI Lin-chi, CHEN Chaur-tzuhn. Application of the remote sensing technique to monitor landslides of Hualien debris disaster watershed areas[J]. Chinese Journal of Engineering, 2009, 31(12): 1503-1510. DOI: 10.13374/j.issn1001-053x.2009.12.023

应用遥测技术探讨台湾花莲地区土砂灾害集水区崩塌地的变迁

Application of the remote sensing technique to monitor landslides of Hualien debris disaster watershed areas

  • 摘要: 以1996年、2002年、2005年及2007年四期SPOT卫星影像为材料,配合相关图籍数字化台湾花莲地区寿丰溪集水区与秀姑峦溪集水区的崩塌地图层,透过植生回复率(VRR)、新增崩塌率(ICR)及崩塌地重心位移的计算,探讨这两个集水区崩塌地变迁情形,并分析其环境因子特性.研究结果显示:利用多期卫星影像数据可有效进行崩塌地长期监测,并获知其变动情形;另突发暴雨可使崩塌大量发生,显为事件直接影响因子;而VRR、ICR与重心位移的计算,可有效量化植生恢复情形及新增崩塌状况;至于地理环境特征方面,崩塌发生概率随高程增加而增加,也与坡度呈正相关,因此未来在开发上应特别留意.

     

    Abstract: The four-period SPOT satellite images of years 1996, 2002, 2005, and 2007 were used as analyzed materials, and also the relevant map data were coupled to digitize the landslide area layer of Shoufong and Siouguluan watersheds in Hualien County of Taiwan. The changed conditions of two investigated watersheds were examined and their characters of environmental factors were also analyzed through calculating the vegetation recovery ratio (VRR), the increasing collapse ratio (ICR), and the centroid displacement vector of landslide area. The result shows that it is useful to monitor landslide area and then to know their cover changed conditions over a long period of time by utilizing multi-temporal satellite images. Obviously, precipitation is the directly influential factor of causing the happenings of serious collapses, and a large number of occurrences of collapses are triggered by precipitation. The calculations of VRR, ICR, and the centroid displacement vector of landslide area can efficiently quantify the recovery of vegetation and the increasing collapse situation. Finally, the frequency of collapsing increases with increasing elevation and slope. Thus, these influential factors mentioned above have to be paid carefully attention in future developments.

     

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