• DocumentCode
    2527694
  • Title

    Quality assessment for Human Settlement of Urban Community based on remote sensing technology

  • Author

    Sun, Yan ; Zhang, Qiuwen ; Yu, Hongyan ; Yan, Tieping

  • Author_Institution
    HuBei Key Lab. of Digital Valley Sci. & Technol., HuaZhong Univ. of Sci. & Technol. (HUST), Wuhan, China
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    417
  • Lastpage
    420
  • Abstract
    Based on the theory of human settlement environment, this article chooses the important influencing factors on Human Settlement of Urban Community (HSUC) by remote sensing technology and establishes a quantitative quality evaluation model of human settlements of residential community. And then taking one of the urban communities at a university in Hubei province as the study region, the human settlement´s quality of experimental area is assessed. The total score of quality assessment for the study area is 73.1 which show that the area has nice human settlement quality. According to the investigation to the study area, there are several multi storied buildings distributed evenly in this residential community. And there is much public green space among these buildings and distributed evenly which indicates that the green area ratio of the residential community is higher. The study area has the better quality for human living, so to speak. Therefore, the results of our model for calculation the quality assessment on HSUC in our study are more tally with the practical condition of the residential community.
  • Keywords
    human factors; quality management; remote sensing; town and country planning; human settlement environment; quality assessment; quantitative quality evaluation; remote sensing technology; urban community; Communities; Floors; Green products; Humans; Quality assessment; Remote sensing; Analytic Hierarchy Process (AHP) method; Human Settlement of Urban Community (HSUC); Quality assessment; remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
  • Conference_Location
    Fuzhou
  • Print_ISBN
    978-1-4244-8352-5
  • Type

    conf

  • DOI
    10.1109/ICSDM.2011.5969078
  • Filename
    5969078