You may create an orographic barrier map for high relief mountain areas. You can calculate average speed of clouds for certain areas. These two may be useful in meteorology. 

May be useful for you to get insight on importance of the motion of clouds:

http://isccp.giss.nasa.gov/role.html

http://isccp.giss.nasa.gov/role.html

Dear Rachana,

Your observation that successive satellite images of the same area do show the motion of storms and clouds is correct, and has been used for decades in the field of weather prediction. Such sequences are sometimes displayed by television networks to show incoming perturbations. Here is one example amongst many:

http://www.meteo60.fr/sat_ir_en.php

There are many publications on this topic in the literature. In addition to the general reference on clouds provided by Lakshmi, here is a paper dating back to 1993, for instance:

http://www.metvuw.com/courses/gphs424/Schmetz93.pdf

As you will understand easily, the accuracy of the derived cloud motion, and in particular of their speed, depends very much on the time laps between the successive images, as it compares to the time required for a cloud boundary to move from one pixel to another in a given image. Hence, this issue is related to both the frequency of acquisition and the spatial resolution of the instrument.

For a modern approach to this topic, you may want to learn more about NASA's MISR instrument on the Terra satellite, which features 9 cameras pointing at different angles forward and aft of the platform, so that each camera observes the same target on the planet after some very short amount of time (the entire sequence of 9 measurements takes place in less than 7 minutes). This generates very accurate estimates of cloud motion, as well as information on the height of the clouds, thanks to the parallax effect between the cameras. Here is one example:

https://archive.org/details/VE-VID-100

You will find more recent images from this instrument here

http://www-misr.jpl.nasa.gov/multimedia/

and many scientific publications on the instrument, the algorithms and derived products, as well as practical applications here

http://www-misr.jpl.nasa.gov/publications/peerReviewed/

Best regards, Michel.

Using two dimensional pictures of cloud dynamic also is important for investigation wave-like motions in the troposphere, which can be regional sizes. The seasonal peculiarities of such processes is interesting for consideration regional peculiarities of the lower and upper atmosphere coupling processes.

It is useful for change detection when comparing or overlaying images in spatio-temporal studies. Some hidden features under clouds can appear in other images. It helps also for studying the trends of clouds as direction of movement, weather prediction, etc. 

My answer poses more questions.

A global catalogue of spectra of ground under various levels of cloud shadow could be interesting. This would allow the local comparison of spectral of known control points to assess level of shadow. Is there an index for the depth of cloud shadow? How could that be applied in image spectral correction beyond atmospheric correction as an improvement? Would it provide an improvement?

The folks at the Cooperative Institute for Meteorological Satellite Studies (CIMSS) at the U. of Wisconsin have been leaders in the field of deriving winds from tracking clouds and water vapor in both geostationary and low earth orbiting satellite consecutive images since its inception.  Here is a nice summary of publications:

http://tropic.ssec.wisc.edu/misc/references/winds.html

You may also be interested in the International Winds Working Group, some nice summary of information:

http://cimss.ssec.wisc.edu/iwwg/iwwg.html

Thank you for your valuable rply. I will surely go through all these publication.

Thnx again..