• DocumentCode
    2240557
  • Title

    Calibrated Landsat TM LAI retrieval for monitoring vegetation cover change after ecological releases to the lower Tarim river

  • Author

    Haijing Wang ; Hajnsek, Irena ; Kinzelbach, Wolfgang

  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6279
  • Lastpage
    6282
  • Abstract
    This study used high resolution images as a ground measurement tool for a region, where mapping of spatial and temporal vegetation cover variation by ground survey is impossible. Leaf Area Index (LAI) maps were derived from DigitalGlobe or GeoEye images and resampled to 30m resolution. Landsat TM imagery was used to produce NDVI maps. The NDVI from TM and LAI from high resolution images show good correlation for the three test sites chosen in the lower Tarim river basin. The correlations were then used to produce LAI maps on river basin scale from Landsat TM imagery. The results showed that this method provides good local calibration for converting NDVI maps from Landsat TM imagery to LAI maps to be used in hydrological modeling.
  • Keywords
    calibration; ecology; geophysical image processing; hydrological techniques; image resolution; image sampling; rivers; vegetation; vegetation mapping; China; DigitalGlobe image; GeoEye image; LAI map; Landsat TM imagery; NDVI map; calibrated Landsat TM LAI retrieval; calibration; ecological release; ground measurement tool; high resolution image; hydrological modeling; image resampling; leaf area index; lower Tarim river basin; spatial vegetation cover variation mapping; temporal vegetation cover variation mapping ground survey; vegetation cover change monitoring; Earth; Remote sensing; Rivers; Satellites; Spatial resolution; Vegetation mapping; Landsat TM; Leaf Area Index (LAI); NDVI; Tarim River; Vegetation cover;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352694
  • Filename
    6352694