Cloud Tracking in METEOSAT Images Using GIMP Program

Author(s): Amelia Carolina Sparavigna

Cloud tracking is the analysis of remote sensing images from which it is possible to evaluate the speed of winds drifting the clouds. Here we are proposing a simple approach to the cloud drift, based on a method that uses GIMP, the GNU Image Manipulation Program, applied to METEOSAT images.

Satellite images, Remote sensing, Image processing, GIMP

1. A.C. Sparavigna (2013). The GNU Image Manipulation Program applied to study the sand dunes, International Journal of Sciences, Volume 2, Issue 9, Pages 1-8
2. A.C. Sparavigna (2013). A case study of moving sand dunes: The barchans of the Kharga Oasis, International Journal of Sciences, Volume 2, Issue 8, Pages 95-97
3. R.A. Kohrs, M.A. Lazzara, J.O. Robaidek, D.A. Santek and S.L. Knuth (2014). Global satellite composites - 20 years of evolution, Atmospheric Research, Volumes 135–136, Issue January, Pages 8–34
4. M. Williamson (2006). Spacecraft technology: The early years, IET, ISBN 978-0-86341-553-1
5. Vv. Aa. (2014). How do I read the cloud drift wind data? NOAA National Climatic Data center, www.ncdc.noaa.gov/oa/ rsad/satfaq/ cloud-drift-wind-read.html
6. Vv. Aa. (2014). Weather satellites/sensors, Natural Resources Canada, Government of Canada, www.nrcan.gc.ca/ earth-sciences/ geomatics/ satellite-imagery-air-photos/ satellite-imagery-products/ educational-resources/9387
7. W.P. Menzel (2001). Cloud tracking with satellite imagery: From the pioneering work of Ted Fujita to the present, Bull. Amer. Meteor. Soc., Volume 82, Issue 1, Pages 33–47
8. C.F. Wilson and A. Piccialli (2012). Characterizing atmospheric waves on Venus, Earth, and Mars, Eos Trans. American Geophysical Union, Volume 93, Issue 23, Page 220
9. R. Francis, J. Moores, K. McIsaac, D. Choi and G. Osinski (2014). Observations of wind direction by automated analysis of images from Mars and the MSL rover, Acta Astronautica, Volume 94, Issue 2, Pages 776–783