• DocumentCode
    2086797
  • Title

    Landscape Characteristic and its Socio-Economic Drivers Based on RS/GIS in Cheng-Yu Economic Zone, China

  • Author

    Feng Wenlan ; Zhou Wancun

  • Author_Institution
    Dept. of Resource & Environ., Chengdu Univ. of Inf. Technol., Chengdu, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper used RS and GIS techniques analyzed the landscape structure and changes in Cheng-Yu Economic Zone during its rapid urbanization and discussed the primary driving factors by means of canonical correlation method. And comes to these conclusions: (1) Considering the human disturbance and landscape anti-disturbance in landscape classification, statistical analysis showed that farmland was the matrix, which was separated a little by the orchard and construction land; (2) Compared to the transferred and unchanged part, the main changes in the region were the increase of construction land and decrease of the farm land in recent 5 years. What´s more, farm land mainly transferred to other landscapes, while construction land, scrub forest and orchard land were mainly transferred from other; (3) The Canonical correlation analysis indicated the obvious correlativity between socioeconomic factors with construction landscape and farmland. Among them, the density of non-agriculture out put value, traffic and population were the primary factors influencing construction landscape, while landscape were mainly related with unit production value and non-agriculture production value. In brief, both change shows that they were closely connected with non-agriculture production value.
  • Keywords
    agriculture; geographic information systems; geophysics computing; human factors; land use planning; remote sensing; socio-economic effects; statistical analysis; vegetation; Cheng-Yu Economic Zone; China; GIS techniques; canonical correlation method; farmland; geographical information system; human disturbance; landscape change; landscape characteristic; landscape classification; landscape structure; non-agriculture production value; orchard land; remote sensing; scrub forest; socio-economic indicators; statistical analysis; urbanization; Cities and towns; Correlation; Environmental economics; Geographic Information Systems; Humans; Information analysis; Information technology; Pattern analysis; Production; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5301547
  • Filename
    5301547