• DocumentCode
    291614
  • Title

    Validation and calibration of SAR imagery of Manu National Park, Peru

  • Author

    Chapman, Bruce ; Freeman, Anthony ; Alves, Marcos

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    8-12 Aug. 1994
  • Firstpage
    1066
  • Abstract
    A joint calibration experiment between the synthetic aperture radars (SAR) onboard NASA/JPL´s AIRSAR and Japan´s NASDA J-ERS-1 satellite was performed by cotemporally imaging Manu National Park in Peru on June 7, 1993. The data from both instruments were subsequently processed and calibrated at their respective institutions. In situ data at the site in Peru consisting of ground and aerial photographs, GPS coordinates, dielectric measurements, ecological characterization, rainforest structural parameters, and vegetation species identification were collected in early September 1993. Some of the objectives of this experiment were to quantify the relative calibration of AIRSAR and J-ERS-1 data, identify ecological habitats from radar backscatter, and to classify backscatter response due to structural characteristics of the rainforest. Since temporal, global coverage of the J-ERS-1 L-band HH polarization SAR exists, data from this instrument may provide a means for both remote ecological habitat identification and the ability to monitor the extent and conversion of rainforests as man encroaches on ever more remote regions of the world. This paper includes a discussion of the calibration of the SAR instruments.
  • Keywords
    calibration; ecology; forestry; geophysical techniques; radar applications; radar imaging; radar polarimetry; remote sensing by radar; spaceborne radar; AD 1993 06 07; AIRSAR; Manu National Park; NASDA J-ERS-1; Peru; SAR imagery; SAR method; South America; backscatter response; calibration; ecological habitat; geophysical measurement technique; habitat identification; image classification forestry; polarization polarimetry canopy structure; radar backscatter; rainforest; satellite remote sensing; synthetic aperture radar; tropical forest; validation; vegetation mapping; Backscatter; Calibration; Dielectric measurements; Global Positioning System; Instruments; NASA; Satellites; Structural engineering; Synthetic aperture radar; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399345
  • Filename
    399345