• DocumentCode
    124649
  • Title

    Remote sensing monitoring for spatial distribution of prosodes dilaticollis motsch hazards based on terrain gradient—A case study of manias and Hutubi county grassland

  • Author

    Wu Xiu-lan ; Zheng Jiang-hua ; Zheng Shu-dan ; Xuan Jun-wei ; Yimamu, A-buduwali ; Mu Chen ; Ni Yi-fei ; Wu Jian-guo ; Xiao Hong-wei

  • Author_Institution
    Sch. of Resources & Environ. Sci., Xinjiang Univ., Urumqi, China
  • fYear
    2014
  • fDate
    11-14 June 2014
  • Firstpage
    438
  • Lastpage
    442
  • Abstract
    A good understanding of the relationships between grassland pests and terrain gradient is essential for grassland management. To explore the difference of prosodes dilaticollis motsch hazards on terrain gradient and to reveal different effects in different geomorphological parts of prosodes dilaticollis motsch disaster, in this paper, we used the data from the chinese ZY1-02C satellite P/MS remote sensing, with the support of the spatial analysis function in ArcGIS, prosodes dilaticollis motsch outbreak information from image interpretation based on RS and GIS technology was overlapped with elevation, slop and aspect types which derived from digital elevation model (DEM) respectively, the terrain gradient distribution of prosodes dilaticollis motsch disasters in the study area were obtained and analyzed. The results showed that in the elevation and slope gradient, the prosodes dilaticollis motsch hazards mainly concentrated in the lower grades terrain, while in the aspect gradient the hazards distributed most both in the lower and higher grades terrain distribution more, less in the middle grades terrain.
  • Keywords
    digital elevation models; disasters; environmental monitoring (geophysics); geographic information systems; geomorphology; hazards; vegetation mapping; ArcGIS; Chinese ZY1-02C satellite P/MS remote sensing; DEM; GIS technology; Hutubi county grassland; Manias county; Prosodes Dilaticollis motsch hazard; digital elevation model; geomorphological parts; grassland management; grassland pest; image interpretation; prosodes dilaticollis motsch disaster; prosodes dilaticollis motsch outbreak information; remote sensing monitoring; spatial analysis function; spatial distribution; terrain gradient distribution; Conferences; Earth; digital elevation model; prosodes dilaticollis motsch hazards; spatial distribution; terrain gradient;
  • 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.2014.6927929
  • Filename
    6927929