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Landsat Data Products Workshop II - November 1-3, 2010

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Landsat Data Products Workshop II

November 1-3, 2010
Boston University
Boston, Massachusetts


Surface Reflectance, Land Surface Temperature, and Albedo

  • LEDAPS update (Jeff Masek, NASA) - .ppt (11.2 MB) .pdf (8.64 MB)
  • Landsat-MODIS Consistency as an Operational QA of SR (Chengquan Huang, University of Maryland) - .pptx (2.67 MB) .pdf (593 KB)
  • A Land Surface Temperature product (John Schott, Rochester Institute of Technology) - .pptx (6.33 MB) .pdf (2.80 MB)
  • Update on Landsat Albedo (Feng Gao, Earth Resources Technology) - .pptx (3.15 MB) .pdf (1.91 MB)


Cloud and Cloud Shadow

  • LDCM cloud cover assessment update and overview (Pat Scaramuzza, SGT) - .ppt (886 KB) .pdf (420 KB)
  • A simple cloud mask algorithm developed for MODIS land bands applied on Landsat scenes (Lazaros Oreopoulos, NASA-GSFC) - .pptx (7.64 MB) .pdf (2.80 MB)
  • Cloud detection in Landsat imagery of ice sheets using shadow matching technique and automatic normalized snow index threshold value decision (Robert Bindschadler, NASA-GSFC) - .pptx (0.98 MB) .pdf (974 KB)
  • Removing cloud from moderate resolution imagery (Leo Lymburner, Geoscience Australia) - .ppt (14.2 MB) .pdf (6.70 MB)



  • A physically based approach in retrieving vegetation Leaf Area Index from Landsat Surface Reflectance data (Sangram Ganguly, NASA-Ames Research Center) - .ppt (15.1 MB) .pdf (5.20 MB)
  • Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product from Landsat 5 and 7 (Alan Belward, European Commission Joint Research Center) - .ppt (7.02 MB) .pdf (1.15 MB)
  • Landsat 7 gap filling using the Neighborhood Similar Pixel Interpolator (NSPI) (Jim Vogelmann, USGS) - .ppt (24.5 MB) .pdf (5.34 MB)



Landsat represents the world's longest continuously acquired collection of space-based moderate-resolution land remote sensing data. Four decades of imagery provides a unique resource for those who work in agriculture, geology, forestry, regional planning, education, mapping, and global change research. Landsat images are also invaluable for emergency response and disaster relief.


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