• DocumentCode
    3444789
  • Title

    Assess the accuracy of the Globcover cultivated land data in Northeast China

  • Author

    Zhang, Li ; Wu, Wenbin ; Zhou, Qingbo ; Chen, Zhongxin ; Li, Zhengguo

  • Author_Institution
    Key Lab. of Agri-Inf., Minist. of Agric., Beijing, China
  • fYear
    2012
  • fDate
    2-4 Aug. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This study aims to examine the suitability of Globcover land cover dataset for its accuracy in mapping and monitoring cropland in Northeast China three provinces. To do so, Globcover dataset was compared with the reference national land cover dataset 2000 (NLCD-2000) for assessing the aggregated area and spatial extent of cropland across the study area. The results showed that the accuracy in Jilin province is higher than the other two provinces. Regions with relatively higher accuracy are mainly distributed in the central and west part of the study area, whereas low accuracy mainly exists at the east and south coastal area. The coarse spatial resolution and per pixel classification approach, as well as landscape heterogeneity, are the main reasons for large discrepancies between Globcover cropland dataset and NLCD-2000.
  • Keywords
    vegetation; vegetation mapping; Globcover cultivated land data; Globcover dataset; Globcover land cover dataset; Jilin province; NLCD-2000; cropland mapping; cropland monitoring; landscape heterogeneity; northeast China; pixel classification approach; reference national land cover dataset; Accuracy; Agriculture; Estimation; Remote sensing; Satellites; Sensors; Spatial resolution; Accuracy; Cropland dataset; Globcover; NLCD-2000; Northeast China;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-2495-3
  • Electronic_ISBN
    978-1-4673-2494-6
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2012.6311623
  • Filename
    6311623