• DocumentCode
    576409
  • Title

    Analysis of spatial characteristics for landslides vegetation restoration monitoring by LiDAR surface roughness data and multispectrum imagery

  • Author

    Yang, Mon-Shieh ; Wu, Ming-Chee ; Liu, Jin-King

  • Author_Institution
    Nat. Cheng Kung Univ. (NCKU), Tainan, Taiwan
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7561
  • Lastpage
    7564
  • Abstract
    Vegetative cover can contribute to improving the stability of steep slopes by reducing erosion; the vegetation growing condition may reflect the landslides spatial characteristics. The landslides and vegetation restoration evaluation in this study was implement by high resolution air-photo, SPOT-5 satellite image and air-borne LiDAR data then acquired for calculated vegetation restoration rate. The vegetation restoration results shown different spatially distribution on landslide area, the vegetation restoration rate where nearby riverbank is less than where in mountain area; the growing rate also shows the same appearance, the mean value with 3.2 meter in mountain area and the riverbank area with 1.1 meter restoration rate. It indicated that the vegetation restoration of mountain area appear well growing condition than in riverbank area. The steep slope appears with low vegetation restoration rate, it may have relations with higher frequency of landslides and lower disturbed by human in this area.
  • Keywords
    geomorphology; remote sensing by laser beam; vegetation; SPOT-5 satellite image data; air-borne LiDAR data; high resolution air-photo; landslide vegetation restoration monitoring; landslides spatial characteristics; lidar surface roughness data; mountain area; multispectrum imagery; riverbank area; vegetation growing condition; vegetation restoration evaluation; vegetation restoration rate; vegetative cover; Image restoration; Laser radar; Rough surfaces; Surface roughness; Surface topography; Terrain factors; Vegetation mapping; Digital elevation models; Image fusion; Image texture analysis; Surface roughness; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351912
  • Filename
    6351912