• DocumentCode
    2916678
  • Title

    Regional Land Suitability Assessment for Tree Crops Using Remote Sensing and GIS

  • Author

    He, Yingbin ; Yao, Yanmin ; Chen, Youqi ; Ongaro, Luca

  • Author_Institution
    Key Lab. of Resources Remote Sensing & Digital Agric. of the Chinese Minist. of Agric., Hulunber Grassland Ecosyst. Obs. & Res. Station, Beijing, China
  • fYear
    2011
  • fDate
    19-20 Feb. 2011
  • Firstpage
    354
  • Lastpage
    363
  • Abstract
    Shouyang County which partly locates on the Loess Plateau suffers severe soil and water erosion and is characterized by ecological vulnerability and semi-arid climate. Land suitability evaluation for tree crops is very significant for agricultural production in the ecologically vulnerable regions of semi-arid zone. The authors applied a up scaling approach to carry outland suitability for the four local tree crops of apple, pear, jujube and hawthorn under the traditional cultivation senario. The up scaling was implemented in a land form hierarchy which was composed of land unit, land facet and land site at three spatial levels. The IAO land suitability evaluation model for crops was revised by appling a meteorological revision index. The results showed that a polarized phenomenon occurred, which means that the most suitable class (S1)and the most unsuitable class (N2) were predominant in acreage percentage for all the four tree crops in the study area. We proposed that cropland use policies should pay more attention to putting more investment for agricultural production in the suitable regions. It is necessary to balance the relationship between the livelihood of local farmers and environmental protection to maintain a healthy and stable ecosystem.
  • Keywords
    agriculture; crops; ecology; geographic information systems; remote sensing; GIS; Loess Plateau; Shouyang County; agricultural production; apple; cultivation senario; ecological vulnerability; geographic information systems; hawthorn; jujube; land form hierarchy; land suitability evaluation; meteorological revision index; pear; regional land suitability assessment; remote sensing; tree crops; Computers; Decision support systems; Distributed control; Monitoring; Land suitability assessment; land unit; revision index; semi-arid; tree crops; upscaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-61284-278-3
  • Electronic_ISBN
    978-0-7695-4350-5
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2011.571
  • Filename
    5747834