• DocumentCode
    124527
  • Title

    A study of natural recovery of vegetation in Wenchuan Earthquake affected zone via remotesensing

  • Author

    Kai-guo Yuan ; Tan Liu

  • Author_Institution
    Lab. of Coal Resources Clean-utilization & Mine, Hunan Univ. of Sci. & Technol., Xiangtan, China
  • fYear
    2014
  • fDate
    11-14 June 2014
  • Firstpage
    166
  • Lastpage
    170
  • Abstract
    Based on multi-temporal remote sensing data and spatial analysis of GIS, this paper analyzes the characteristics of the ecological destruction and recovery in the seriously damaged areas of Wenchuan Earthquake. By employing the TM, MODIS NDVI multi-temporal data, it analyzes the changes in vegetation and using the Vegetation recovery rate to evaluate the recovery characteristics. The result shows that the forest and grassland areas declined significantly. The multi-temporal NDVI data also shows the fluctuation before and after the earthquake. The average VRR was 37.4% until September 2009. The areas located on the slope base which had been corroded by flowing water and the steep mountain ridges are in undesirable situation. There are drought resistance shrub and grass growth beside the roads and dried vallies, and now they are spreading to the collapsed and landslide areas. The soil, climatic, and water-thermal-fertility conditions are the important factors for vegetation recovery.
  • Keywords
    earthquakes; ecology; geographic information systems; remote sensing; vegetation; GIS spatial analysis; MODIS NDVI multitemporal data; Wenchuan Earthquake affected zone; dried vallies; drought resistance shrub; ecological destruction; flowing water; forest; grass growth; grassland areas; multitemporal remote sensing data; natural vegetation recovery; roads; steep mountain ridges; vegetation recovery rate; Earthquakes; Geology; Monitoring; Remote sensing; Soil; Vegetation; Vegetation mapping; Remote sensing monitoring; Vegetation Recovery; Vegetation Recovery Rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-5757-6
  • Type

    conf

  • DOI
    10.1109/EORSA.2014.6927871
  • Filename
    6927871