In: Wagner W., Szekely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B 
435 
Different reasons may be responsible for the differences in 
accuracies. One reason may have to do with accurate spatial 
registration of the intrinsic characteristics of the images. For 
instance Landsat has a spatial resolution of 30metres, NigeriaSat-1 
32 metres and the SPOT lOmetres. Chen, et al., (2002) has shown 
that these can variously have effect on the levels of accuracies 
obtained from the images. Another reason could be that, spectral 
characteristics among the different land cover types (e.g. built-up, 
bare rock) are similar, while spectral variation within the same land 
cover type or even within the same image might be high (Cushine, 
1987). 
5. CONCLUSION 
This study was conducted with the intention of evaluating the 
difference in landuse characterization, relative accuracy of feature 
definitions and the usage of spatial data with Landsat, NigeriaSat -1 
and SPOT images. The result of the study supports the knowledge 
that each image has certain relative advantage over the other. For 
stance, while NigeriaSat-1 images are shown to be very efficient in 
the analysis of information within the visible portion of the 
electromagnetic spectrum, SPOT images are better in the Near 
Infrared. Information from Landsat images was rather weak at both 
portions (Visible and NIR) of the Electromagnetic Spectrum. The 
study also showed that SPOT images have the lowest level of data 
redundancy of the three image providers. This observation is similar 
to that of Kuplich, et al (2000), which concluded that SPOT has 
relatively smaller data redundancy than ‘some’ other image 
producers. This is because high correlation between spectral bands 
is indicative of high degree of information. Spectrally adjacent 
bands in a multispectral remotely sensed image are often highly 
correlated. Multiband visible/near-infrared images of landuse areas 
will show negative correlations between the near-infrared and 
visible red bands and positive correlations among the visible bands 
because the spectral characteristics of land use are such that as the 
vigour or tone of the feature increases, the red reflectance 
diminishes and the near-infrared reflectance increases. 
The study also showed that SPOT images have higher level of 
accuracy (> 97%) than Landsat and NigeriaSat-1. The reasons for 
this may be the intrinsic characteristics of the images. Another 
reason of course, is that spectral characteristics among the different 
land cover types (e.g. built-up, bare rock) could be similar. 
In addition, it was also revealed that the distinguishing spectral 
characteristics between “farmland” and “rock surfaces” and 
“farmland” and “secondary forest” in the Landsat images were 
relatively poor. However, seamed data sets of NigeriaSat-1 and 
Landsat images on the one hand, and NigeriaSat-1 and SPOT on the 
other produce landuse classifications of better accuracies (>80%) 
than the individual images i.e. SPOT, NigeriaSat-1 or Landsat 
especially when representing land uses such as built-up area, bare 
rock, water body and farmland. 
Finally, the images differ in their ability to reveal landuse 
characteristics and differences in spatial resolution may not be a 
challenge to accuracy and details of reporting depending on the 
subject of interest. 
ACKNOWLEDGEMENT 
We are grateful to the National Centre for Remote Sensing and 
FORMECU for releasing of the satellite images. The authors wish 
also to thank the department of geography of Obafemi Awolowo 
University for intellectual support during this research work. Also 
an appreciation to African Regional Centre for Space Science and 
Technology Education for their supportive ways to see to the 
completion of this research work. The authors and the researchers 
of the literatures we referred to should also get our appreciations. 
We extend our sincere appreciation to the editor and anonymous 
reviewers, whose comments are valuable in improving the quality 
of the article. 
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