• DocumentCode
    144053
  • Title

    Deviation of land-use data from quickbird and TM remote sensing imagery: A case study of the Tanjiaying small watershed in the loess hilly-gully area of China

  • Author

    Lina Zhong ; Wenwu Zhao ; Yuanxin Liu ; Xiao Zhang ; Xuening Fang

  • Author_Institution
    State Key Lab. of Earth Surface Processes & Resource Ecology, Beijing Normal Univ., Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    4184
  • Lastpage
    4187
  • Abstract
    Land-use maps provide important data and basic information for accomplishing the optimal allocation of resources and for ensuring sustainable development. However, the land-use data interpreted from various sources of remotely sensed, low-resolution imagery are highly variable. Therefore, an analysis of these deviations in land-use data is imperative for correcting the accuracy of the land-use maps derived from such low-resolution, remote sensing imagery. With ArcGIS 9.3 software, we derived the land-use maps with different accuracies for the Tanjiaying small watershed in the loess hilly-gully area of China by interpreting Landsat 5 Thematic Mapper (TM) and QuickBird images acquired in 2010. We compared the maps derived from these two sources of imagery data and analyzed the resulting deviation distribution with respect to the slope, aspect, and elevation of the land.
  • Keywords
    geophysical image processing; land use; vegetation mapping; ArcGIS 9.3 software; China; Landsat 5 Thematic Mapper images; QuickBird images; Tanjiaying small watershed; deviation distribution; land-use data; land-use maps; loess hilly-gully area; remote sensing imagery; Accuracy; Earth; Image resolution; Indexes; Remote sensing; Satellites; Software; QuickBird remote sensing image; TM remote sensing image; land use; loess hilly-gully area;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947410
  • Filename
    6947410