The analysis of remote sensing data is very important in mapping surface and
subsurface features. The knowledge of these features is helpful in estimating
country’s hidden resources. The LANDSAT MSS and TM data are available from
national Remote sensing Agency, Hyderabad. In the present work, we have
analysed MSS and TM data using image processing technique. The classified
image has been compared with the toposheet prepared in the year 1976 by
Survey of India. The various surface features such as river, roads, railway lines,
soils, vegetated cover, forest areas, water bodies and built-up areas are classified
using MSS and TM data. The information about a scene using MSS data is more
because of large area covered. However the resolution of the image obtained by
TM data is higher compared to that of MSS imagery. We have taken remote sensing
data of path number 144, row number 41 of MSS and quadrant ‘D’ of data and carried
out digital analysis using Bayes technique and compared the results. We have found
that both the data have their own limitations in mapping various surfacial features.
The detailed analysis and superiority of these data has been discussed in the present
work.