• DocumentCode
    2879232
  • Title

    Land-Use Multicritera Evaluation Involving Carbon Sequestration Benefits Based on GIS and RS

  • Author

    Wang, Jun ; Ju, Weimin ; Chen, Jingming ; Li, Manchun

  • Author_Institution
    Coll. of Geomatics Eng., Nanjing Univ. of Technol., Nanjing, China
  • fYear
    2012
  • fDate
    1-3 June 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Terrestrial ecosystems, especially forest ecosystems, can provide significant Carbon Sequestration (CS) potential. Forestry land-use suitability analysis aims at identifying the most appropriate spatial pattern for future land uses according to specific requirements, preferences, or predictors of some activities. This paper aims at inspecting the utilization of RS, carbon models and GIS technology in regional land-use evaluation involving carbon benefits through a case study at Liping County, Guizhou Province, China. It has the following objectives: (1) to provide spatially explicit quantitative simulation of forestry land uses; (2) to use a MCDM method, i.e. the analytic hierarchy process (AHP), with GIS for comprehensive evaluation of the suitability of local forestry land use statue quo in consideration of geographical, eco-environmental and socio-economic (including carbon) indicators; and (3) to compare the evaluation results from two different multi-criteria evaluation processes with and without consideration of CS benefits.
  • Keywords
    carbon capture and storage; ecology; environmental economics; forestry; geographic information systems; land use planning; socio-economic effects; terrain mapping; vegetation mapping; China; GIS technology; Guizhou Province; Liping County; MCDM method; analytic hierarchy process; carbon models; carbon sequestration potential; eco-environmental indicators; forest ecosystems; forest land-use suitability analysis; land-use multicritera evaluation; multicriteria evaluation process; quantitative simulation method; regional land-use evaluation; remote sensing; socio-economic indicators; spatial pattern; terrestrial ecosystems; Biological system modeling; Carbon; Economics; Ecosystems; Forestry; Rivers; Soil;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0872-4
  • Type

    conf

  • DOI
    10.1109/RSETE.2012.6260614
  • Filename
    6260614