• DocumentCode
    1127565
  • Title

    Evaluation of MODIS Land Cover and LAI Products in Cropland of North China Plain Using In Situ Measurements and Landsat TM Images

  • Author

    Yang, Peng ; Shibasaki, Ryosuke ; Wu, Wenbin ; Zhou, Qingbo ; Chen, Zhongxin ; Zha, Yan ; Shi, Yun ; Tang, Huajun

  • Author_Institution
    Univ. of Tokyo, Tokyo
  • Volume
    45
  • Issue
    10
  • fYear
    2007
  • Firstpage
    3087
  • Lastpage
    3097
  • Abstract
    Global maps of land cover and leaf area index (LAI) from the moderate resolution imaging spectroradiometer (MODIS) are available from the earth resources observation system data center. Validation of these MODIS terrestrial products is crucial for scientific research. Numerous pre- and postlaunch validation activities have been completed during the last several years. However, such work was mainly located in North America, Europe, and Africa. The validated vegetation types were principally focused on woodland and savanna. In this paper, we evaluated the Collection 3 MODIS land cover (MOD12Q1) and the Collection 4 MODIS LAI (MOD15A2) products in the North China Plain (NCP). We placed the emphasis on croplands by: (1) developing an accurate land cover map, based on the MODIS LAI/fraction of photosynthetically active radiation land cover classification scheme; (2) deriving empirical LAI validation maps, based on in situ measurement and landsat thematic mapper imagery; and (3) conducting an initial MODIS validation exercise to assess the quality of MODIS products. The results indicate that an apparent misclassification exists between grasses/cereal crop and broadleaf crop biomes in the MODIS land cover product. Although MODIS LAI could resemble the general pattern of the LAI seasonal vegetation variation in the NCP, the MODIS LAI algorithm markedly underestimated LAI values (down to 2-3 m2/m2) for the April 2004 winter wheat cropland. Biome misclassification and the atmospheric effect of cloud or aerosol were proven to decrease the value of MODIS LAI, but these impacts cannot fully explain the significant underestimation. Additional studies are needed to understand the main reasons for this underestimation in the study area.
  • Keywords
    crops; image classification; vegetation mapping; AD 2004 04; Africa; Earth Resources Observation System Data Center; Europe; Landsat Thematic Mapper imagery; MODIS land cover map; Moderate Resolution Imaging Spectroradiometer; North America; North China Plain; aerosols; atmospheric effect; biome misclassification; broadleaf crop biomes; cloud; cropland; grasses-cereal crop; in situ measurement; land cover classification scheme; leaf area index; photosynthetically active radiation; savanna; seasonal vegetation variation; vegetation type; wheat cropland; woodland; Africa; Clouds; Crops; Earth; Europe; MODIS; North America; Remote sensing; Satellites; Vegetation mapping; Crops; Landsat Thematic Mapper (TM); Moderate Resolution Imaging Spectroradiometer (MODIS); North China Plain (NCP); land cover; leaf area index (LAI); validation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2007.902426
  • Filename
    4305382