• DocumentCode
    2692605
  • Title

    Assessment of Suitability of Land Uses using a Multi-Source Information Fusion Method: A Case Study in the Hilly Area of Shandong Peninsular of China

  • Author

    Wang, Lei ; Deng, Xiangzheng ; Zhan, Jinyan ; Li, Yujiang ; Su, Hongbo

  • Author_Institution
    Coll. of Population Resource & Environ., Shandong Normal Univ., Jinan
  • Volume
    4
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Land is one of the most important natural resources. The assessment of the current land use pattern suitability can help people make good use of the natural resources. In this paper, the land-use suitability index (SI) is used to evaluate the suitability of the land use pattern in the hilly area of Shandong Peninsular of China. Land use data is derived from Landsat TM/ETM acquired in 1988 and 2000 using the multi-source information fusion method. The results indicate that, the land-use suitability is slightly improved from 1988 to 2000 and the corresponding SI-values changed from 0.77 to 0.80. The difference value of land-use suitability is only 0.03, not as large as people previously predicted.
  • Keywords
    natural resources; remote sensing; vegetation; AD 1988 to 2000; China; Landsat TM/ETM data; Shandong Peninsular; hilly area; land use pattern suitability assessment; land-use suitability index; multi-source information fusion method; natural resources; Agriculture; Computer aided software engineering; Contracts; Ecosystems; Educational institutions; Image databases; Remote sensing; Satellites; Sustainable development; Visual databases; Assessment model; Hilly area; Land use; Land-use suitability; Shandong Peninsular;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779822
  • Filename
    4779822