International Archives of the Photogrammetry, Remote Sensing 
  
Figure 15. Map of vegetation distribution 
5, CONCLUSIONS 
Data Fusion is a technique, which allows to obtain results that 
are of great scientific interest as long as the structure and the 
characteristics of the data utilised are well known. 
Furthermore, the results of the “fusion” operation are strongly 
influenced by the type of pre-processing, by the processing 
technique employed and by the temporal range of the data used. 
This consideration may seem banal but we think about it was 
important to stress the fact that, particularly when using data 
coming from different sensors, which often happens, an 
inadequate pre-processing of the data does not allow for, for 
example, a precise correspondence between “homologous” 
pixels. Finally it should be pointed out that, in the case in which 
the data used presents an extremely high spatial difference, it is 
possible that the result obtained by the Image Fusion technique 
will not provide a good end-product, introducing high 
deformation of the re-sampled data and furnishing almost 
illegible results. 
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Moeller, C.C., Gumley, L.E., 1998. Discrimination clear sky 
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103, pp. 32-157. 
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à X 4. 
Figure 14b. High altitude clouds NOAA (250 Km) 
Bretschneider, T., Kao, O. 2000. Image Fusion in Remote 
Sensing. In: On line Symposium for Electronics Engineers, 
Clausthal, Germany. 
http:// www.erc.msstate.edu/-veera/ImageQualityMetrics/Literat 
ure/OSEE2000.pdf (accessed 29 Apr. 2004) 
Carper, W. J., Lillesand, T. M., Kiefer, R. W., 1990, The Use of 
Intensity-Hue-Saturation Transformation for Merging SPOT 
Panchromatic and Multi-spectral Image Data. Photogrammetric 
Engineering and Remote Sensing, 56,pp. 459-467. 
Hall, D.K., Riggs, G.A., Salomonson, V., Di Girolamo, N., Bayr, 
K.J.. 2000. MODIS snow-cover products. Remote Sensing of 
Environment, 83, pp. 181-194. 
Hyvarinen, O.., 2003. Visualization of MODIS images for duty 
forecasters. In: 2003 EUMETSAT Meteorological Satellite 
Conference, Weimar, Germany, pp.452,458. 
Karlsson, K.G., 1997. An Introduction to Remote Sensing in 
Meteorology. Swedish ^ Meteorological and Hydrological 
Institute, ISBN 91-87996-08-1. 
Qu, J., Chao, W. 2001. A Wavelet Package — Based Data Fusion 
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In: 22" Asian Conference on Remote Sensing, Singapore. 
Pohl, C., Van Genderen, J.L., 1998. Multisensor image fusion in 
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International Journal of Remote Sensing , 5(19), pp. 823-854. 
Pohl, C., 1999. Tools and methods for fusion of images of 
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Photogrammetry, Remote Sensing, Valladolid, Spain, Vol. 
XXXII, Part 7-4-6 W6. 
Wald, L., 1999. Definitions and terms of reference in data 
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