熱赤外リモートセンシングによる表層崩壊危険斜面抽出手法の検討  [in Japanese] Application of thermal infrared remote sensing for detecting slopes with high landslide-vulnerability  [in Japanese]

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Abstract

For accurate predictions of shallow landslide occurrences, it is essential to develop techniques which can efficiently detect locations of rainwater convergence within natural hillslopes. As one of such techniques, this study evaluated applicability of thermal infrared remote sensing. We studied a hillslope covered with a plantation of 40-year-old Japanese cedars, which showed relatively flat and homogeneous canopy surfaces. A thermal image of the forest canopy was taken during hot and dry daytime, by using an infrared thermography from a location 100-250 m distant from the studied hillslope. The image clearly detected some areas which showed lower canopy surface temperatures than surrounding areas. Along a line transecting both high-and low-canopy temperature areas, distributions of soil thickness and soil water content were measured by using a combined-penetrometer-moisture probe, and an electrical resistivity survey, which employed a dipole-dipole electrode arrangement, was conducted. As a result, the lower canopy temperature area showed higher soil water content and lower electrical resistivity than the high canopy temperature area, indicating that the thermal infrared remote sensing can be effectively used to detect locations of rainwater convergence within hillslopes, and, consequently, can be an efficient technique for locating slopes with high landslide-vulnerability. The result was supported by occurrences of two small landslides within the low canopy temperature area.

Journal

  • Journal of the Japan Society of Erosion Control Engineering

    Journal of the Japan Society of Erosion Control Engineering 64(6), 32-37, 2012-03-15

    Japan Society of Erosion Control Engineering

References:  11

Codes

  • NII Article ID (NAID)
    10030171256
  • NII NACSIS-CAT ID (NCID)
    AN1056478X
  • Text Lang
    JPN
  • Article Type
    NOT
  • ISSN
    02868385
  • NDL Article ID
    023604521
  • NDL Call No.
    Z18-495
  • Data Source
    CJP  NDL  J-STAGE 
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