• DocumentCode
    3536069
  • Title

    A method for compositing MODIS satellite images to remove cloud cover

  • Author

    Fraser, Alexander D. ; Massom, Robert A. ; Michael, Kelvin J.

  • Author_Institution
    Inst. of Antarctic & Southern Ocean Studies, Univ. of Tasmania, Sandy Bay, TAS, Australia
  • Volume
    3
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Techniques are presented for generating thermal infrared and visible composite images from cloud-free portions of MODIS (MODerate resolution Imaging Spectroradiometer) images closely spaced in time, with a focus on studies of landfast sea ice along the East Antarctic coast. Composite image inclusion criteria are based on modified MODIS EOS cloud mask product results. The compositing process places emphasis on retaining maximum spatial resolution while minimizing computing storage space requirements. Composite images can be produced either as a regular product (e.g., on a 10-day grid), or dynamically (whenever enough information is acquired to produce a new output image). The techniques presented are applicable at any latitude, are available for all MODIS channels at their native resolution, can combine Aqua and Terra images, and can produce maps in any output projection. However, due to the polar orbit of NASA´s Terra and Aqua satellites which host the MODIS instrument, more frequent coverage is produced at higher latitudes. Thus, the techniques presented are particularly applicable to polar research. Examples of summertime (visible) and wintertime (IR) composite image generation of the landfast sea ice around the Mertz Glacier region, East Antarctica, are included.
  • Keywords
    geophysical image processing; oceanographic techniques; remote sensing; sea ice; Aqua images; East Antarctic coast; East Antarctica; MODIS EOS cloud mask; MODIS satellite images compositing; Mertz Glacier region; Moderate Resolution Imaging Spectroradiometer; Terra images; cloud cover removal; composite image inclusion criteria; landfast sea ice; thermal infrared composite image generation; visible composite image generation; Antarctica; Clouds; Earth Observing System; Image resolution; Infrared imaging; Infrared spectra; MODIS; Satellites; Sea ice; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417841
  • Filename
    5417841