• Title of article

    Trajectory-based warm season grassland mapping in Missouri prairies with multi-temporal ASTER imagery

  • Author/Authors

    Wang، نويسنده , , Cuizhen and Jamison، نويسنده , , Brent E. and Spicci، نويسنده , , Anthony A.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    9
  • From page
    531
  • To page
    539
  • Abstract
    Tallgrass prairie in North America has been largely converted to croplands and cool season grasslands. In Missouri, only 0.5% of the tallgrass prairie remains in a form of isolated prairie islands. This study sought to delineate prairie-native warm season grass (WSG) from cool season grass (CSG) using five ASTER images acquired on 03/11/2008, 05/12/2007, 07/12/2007, 08/16/2007 and 10/19/2007. Temporal trajectories of the normalized difference vegetation index (NDVI) and the normalized difference moisture index (NDMI) were extracted to examine temporal variation of WSG and CSG grasslands in a growth cycle. It was found that the spring–summer period revealed maximal spectral differences between these two grass types. CSG reached peak NDVI in May while WSG tended to have peak NDMI in July. NDVI was more useful than NDMI in summer–fall. The NDVI trends in this period varied with both phenology and grassland treatments such as haying and grazing, which provided additional information in WSG/CSG delineation. A hierarchical decision tree was developed to delineate WSG and CSG grasslands in a 3-tier process. The WSG lands including those publically conserved prairies were identified in the lower Osage Plain in southwest Missouri. The accuracies were about 80% and could be improved with more frequent satellite observations. The trajectory-based decision tree in this study provides a robust approach of long-term WSG/CSG mapping.
  • Keywords
    Tallgrass prairie , Warm season grass , trajectory analysis , Multi-temporal imagery
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2010
  • Journal title
    Remote Sensing of Environment
  • Record number

    1629646