80
a
$
60 + e
e
= 8
D @
€ 8 e
40 +
20 1 1 | 1 |
0 2 4 6 8 10 12
Persons Per Sq.km
Figure 12. UI - Environmental Related Disease Intensity
5. CONCLUSION
From this study it could be seen that Landsat TM data
could be used to update information and assess the
conditions in urban areas. Hence satellite images could be
used for effective urban and regional planning and could
be particularly useful in rapidly changing urban areas.
REFERENCES
Bochenek Z., Polawski Z., 1992. Use of Remote Sensing
Based GIS for Urban Studies, Proc. of 12th EARSel
Symposium, EGER/HUNGARY/8-11, pp 195-197.
Demographic Survey 1994.,Department of Census and
Statistics, Sri Lanka.
Indrasiri L.H., 1994. Application of Information
Technology for Process Monitoring of Planning
Infrastructure Facilities to Cater to the Development
Needs, Proc. 14th National Computer Conference Sri
Lanka, 3-5th June 1994.
Jensen John R.,1981. Urban Change Detection Mapping
Using Landsat Digital Data, The American
Cartographer, Vol.8.No..2, pp 127-147.
Kawamura M.Jayamanna S.Tsujiko Y., 1995. An
Analysis of Urbanisation and Environment Change in
Natural Environment in Colombo City in Sri Lanka ang
Nagoya City in Japan Using Remote Sensing Data,Prog
the International Symposium on Vegetation Monitoring
Chiba, Japan, pp 224-230.
Housing Development in Sri Lanka 1971 to 1981. Marg
Institute, Si Lanka.
City of Colombo Developmnt Plan.,1985. Ministry of
Local Government Housing and Construction.
Ormsby J.P..1992. Evaluation of Natural and Man Made
Features Using Landsat TM — Data,Int.J.Remot
Sensing, Vol 13.No.2, pp 303-318.
Statistical Abstract.1994. Department of Census ani
Statistics, Democratic Socialist Republic of Sri Lanka.
Urban Land Management Project. 1994. Greater
Colombo Land Market, Final Report, Vol.1,Partl.
Colombo, Sri Lanka Using Remote Sensing Data, Proc.
Environmental Information Science Center, Japan, No.8,
pp 117-122.
Kawamura M.Jayamanna S.Tsujko Y..1995. A
Comparative Study of Urbanisation and Impact on the
International Archives of Photogrammetry and
326
Remote Sensing. Vol. XXXI, Part B7. Vienna 1996