Dundee Satellite Receiving Station
Geostationary Satellites Frequently Asked Questions


  1. What is a Geostationary Satellite?
  2. What are the advantages/disadvantages of Geostationary Satellites for remote imaging?
  3. How many Meteorological Geostationary Satellites are there?
  4. What are Image Channels?
  5. What size are the images?
  6. Can I extract useful scientific (quantitive) information from these images
  7. Why are some images covered in speckles?
  8. Why are some images missing?
  9. Why are the images not up-to-date?

  1. What is a Geostationary Satellite?

    Geostationary satellites are positioned at an exact height above the earth (about 36000 Km). At this height they rotate around the earth at the same speed as the earth rotates around its axis, so in effect remaining stationary above a point on the earth (normally directly overhead the equator).

    As they remain stationary they are ideal for use as communications satellites and also for remote imaging as they can repeatedly scan the same points on the earth beneath them.

    Polar Orbiting satellites by comparison have a much lower orbit, moving around the earth fairly rapidly, and scanning different areas of the earth at relatively infrequent periods.

  2. What are the advantages/disadvantages of Geostationary Satellites for remote imaging?

    As they are positioned at such a high altitude the spatial resolution (ie amount of detail shown) of their images (typically 2.5 Km per pixel) tends to be not as good as some polar orbiting satellites (typically 1 Km to 50m per pixel) which are much closer to the earth.

    However the advantage of their great height is that they can view the whole earth disk below them, rather than a small subsection, and they can scan the same area very frequently (typically every 30-60 minutes). This makes them ideal for meteorological applications.

    One big problem with Geostationary satellites is that since they are always positioned above the equator they can't see the north or south poles and are of limited use for latitudes greater than 60-70 degrees north or south. The further from the equator the lower the spatial resolution of each pixel and the greater the possibility of being hidden by the earth's curvature. So, for a typical Meteosat image a pixel near the equator may represent a 2.5Km square on the ground, but a pixel positioned for example in Northern Europe may represent 10Km on the ground and therefore provide less information (such as temperature, vegetation, wind speed, albedo, etc) per square metre. Move your house to a nice sunny spot on the equator and you'll get maximum value from your local geostationary satellite!

  3. How many Meteorological Geostationary Satellites are there?

    Currently there are 5 or 6 satellites positioned at regular intervals around the equator so that the whole earth is covered.

    The main satellites are:

  4. What are Image Channels?

    The satellites typically scan the earth using different wave lengths (channels). Most geostationary meteorological satellites scan using:

  5. What size are the images?

    Meteosat's digital HRI disseminations consist of a maximum resolution of 2500x2500 8-bit pixels (IR channels) and 5000x5000 (VIS) per channel. The separate European sector images (B format) are 2500x1250 (VIS) and 1250x625 (IR). The instantaneous field of view at the sub-satellite point is 2.5km (VIS) and 5km (IR,WV); resolution decreases with angular distance from this point.

    Each transmission may consist of up to 3 image channels. The largest Meteosat transmissions are about 36Mbytes in size. Transmission rates are 166.66 Kbits/s from the satellite. It therefore takes about 25 minutes to receive such a transmission.

    We have compressed the full size images to about 1MByte per channel, and also provide lower resolution sampled images (about 80-200Kbytes).

  6. Can I extract useful scientific (quantitive) information from these images?

    Not in their present form. The images have been heavily compressed using an algorithm that degrades the pixel values.

    If you require data for quantitive analysis (ie temperature, albedo, wind vectors, etc), we will shortly be able to supply the original raw data in a number of different forms. Please contact DSRS for more information.

  7. Why are some images covered in speckles?

    During February/March, solar eclipse conditions interfers with the satellites broadcasts creating these noisy speckles. This normally only occurs at around solar noon (12 GMT) for Meteosat. There is nothing that we can do to prevent this! For more details see the Meteosat anomalies document at Eumetsat.

  8. Why are some images missing?

    There are times when there are glitches in our system, but more likely explanations are that Eumetsat had a problem receiving or disseminating the image, or that the image was considered too noisy due to interference, possibly caused by eclipse conditions, see above.

    Check the Eumetsat Notifications and Service Newsservice news and administration message. Then check our reception log and our list of images which passed the first stage of processing. --> If there is still an unexplained missing image then please contact us!

  9. Why are the images not up-to-date?

    First, please try to reload or refresh the web page in your web browser and check the date near the top where it says "Last loaded". If that does not work the please try again but this time hold down the CTRL (Control) key whilst doing so. If that does not work you can also try with the Shift key. This will force any proxy or cache servers to fetch the latest page. If you still see old images then there may be a problem with the satellite or with our web site so please use our comment form to contact us.


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