A method for compositing MODIS satellite images to remove cloud cover

• Published in: 2009 IEEE International Geoscience and Remote Sensing Symposium
• Main Authors: Fraser, AD, Massom, RA, Michael, KJ
• Format: Conference Object
• Language: English
• Published: The Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society 2009
• Subjects: Earth Sciences; Physical Geography and Environmental Geoscience; Glaciology; Antarctic; East Antarctica; Mertz Glacier; Antarc*; Antarctica; Sea ice
• Online Access: https://doi.org/10.1109/IGARSS.2009.5417841; http://ecite.utas.edu.au/75511

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.