tern and 
ht slight 
a minor 
Id aerial - 
shapes 
ogy and 
W, and 
ed viz., 
allel to 
(Grady, 
nall and 
NE-SW 
ient was 
parallel 
eaments 
contact. 
ed from 
f highly. 
ixing of 
lagnetite 
with the 
sation of 
| photos : 
d higher 
ficial for 
retations 
pes are . 
Rajendram, S. 
  
DESCRIPTION | | ROCK UNITS 
  
  
Magnetite Quartzite Granulite Gneiss 
1. Tone “Dark grey - Light grey . Light 
“Ze ' Texture . Coarse uneven = - Medium Fine 
3. Shape - Elongated Oval Plain 
4. Formations = Dark toned Linear Linear Interlayers 
5. -Topography Linear ridges Rugged Linear ridges Planation 
| : : 4 Rugged surfaces 
. 6 Vegetation ~~ Moderate Good .  . Moderate 
E Landuse Poor Poor Fair to Poor 
8, Remarks ' Highly fractured, Fractured . Resistant &. 
‘Weathered 
  
Table.] Photo / image characteristics of lithological units. 
ACKNOWLEDGEMENT | 
The author(s) gratefully acknowledge the Director, Institute of Remote Sensing, Anna University, Chennal for 
providing data and support in bringing of this paper. 
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King and Foote., 1864. On the geological structure of parts of Salem, Trichinopoly, Tanjore- and South Arcot in 
the Madras Presidency Mem. G.S.I vol.IV, pp 223-386. d 
Krishnan M.S., , 1921. The Geology of the Kanjamalai area Salem District, Madras Presidency, India, pp 1-15. 
Rajendran S. Ghandrasekatun VA, Panneer Selvam M., Moses Edwin J., and Santosh Saxena 1999. Kanjamalai i iron 
ore deposits in future Exploitation : A Review, Jour. Of Geol. Assoc. and Res. Centre, vol.7, pp 83 — 99. 
Saravanan S., 1969. Origin of Iron ores of Kanjamalai, Salem District, Madras state : Indian Mineralogit, Vol. 10, 
pp. 236-244. ; 
Verma P. K., 1993. Tectonic Inferences from ‘the Statistical Treatment of the Remote Sensing Lineament Fabric - 
Data Associated with the Great Boundary Fault of RAS. India. Journal of the Ind. soc. of Remote Sensing, 
Vol.21, No2, PP 67. ; ; 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B7. Amsterdam 2000. 1223