• DocumentCode
    2667628
  • Title

    How many bits?

  • Author

    Franks, Shannon ; Masek, Jeffrey

  • Author_Institution
    Univ. of Maryland/Coll. Park, College Park
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    1291
  • Lastpage
    1294
  • Abstract
    Since 1982, Landsat has acquired multispectral data using 8-bit data. With many new and highly advanced systems and sensors being developed, we wish to evaluate the benefits of higher radiometric precision for forestry applications. Two industrial forestry sites in central Virginia are chosen to carry out this analysis because of the large variability in standing biomass associated with recovery from past harvest. IKONOS imagery and Earth Observing System´s Advanced Land Imager (ALI) imagery are used in the study. These sensors acquire data using 11 and 12 bits, respectively. By subsampling to Landsat spatial resolution, and truncating the dynamic range and radiometric resolution, we can create Landsat-like image products at a variety of radiometric resolutions. Results show that although a difference can be seen when comparing datasets of higher and lower radiometric resolution, those differences appear to be small when trying to discriminate the boundaries of disturbed stands.
  • Keywords
    data acquisition; forestry; image resolution; radiometry; remote sensing; Advanced Land Imager; Earth Observing System; IKONOS imagery; Landsat spatial resolution; forestry information; multispectral data acquisition; radiometric resolution; remote sensing; standing biomass; Biomass; Biosensors; Earth Observing System; Forestry; Image resolution; Radiometry; Remote sensing; Satellites; Sensor systems and applications; Spatial resolution; bits; foresty measurements; quantization; radiometric resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423042
  • Filename
    4423042