spatial comparisons could be made with the
other CLI data. Had the land use changes
been classified from digital satellite
imagery, data may have reduced the amount
of time required for this aspect of the
project.
Economic and Operational Implications
The interpretation of the remote sensing
data consisting of mapping changes to 207
CLI "Present Land Use" maps took about 1
person-year to complete. The cost of the
40 TM scenes was about $10 000.00. The
costs for imagery and interpretation
amounted to about $0.38 per knr for the
project area. Actual system and estimated
labour costs for preparing the maps for
digitizing, scanning and subsequent
editing, amounted to a further $0.61 per
km 2 . Therefore for approximately $1.00
per km 2 , a flexible digital land use
database at a level of detail comparable
to 1:50 000 maps was created.
Cost-effectiveness was somewhat
compromised by the high system costs
associated with creating a digital
database. In order to reduce the number
of maps to be digitized, a more elaborate
procedure of map preparation is being
undertaken in a follow-on project in
Atlantic Canada (Wilson, pers. comm.,
1990). The 1:50 000 manuscript maps are
photo-reduced and recompiled at 1:250 000
scale to reduce the number of maps
requiring digitizing. While the level of
detail of changes may be reduced, the
information retained is still adequate for
most national and regional scale
reguirements. Furthermore, the estimated
processing costs of less than $0.10 per
km 2 will be substantially less than the
$0.61 per km 2 for this project.
SUMMARY AND CONCLUSION
The technique of using Thematic Mapper for
mapping land use changes proved effective
in the project area for a number of
reasons. Changes from a natural to a
developed state dominated the project
area. These types of changes are the
easiest to identify using Thematic Mapper
imagery since they usually involve
dramatic spectral and spatial changes.
Land that is gradually reverting to a
natural state from a formerly developed
state, such as the abandonment of cropland
in Ontario's clay belt, would likely be
more difficult to map.
The size of land parcels has an effect on
the accuracy of this method. In general,
smaller, irregularly shaped land parcels
are more likely to be overlooked as well
as misclassified. Therefore, the use of
this technique in regions of eastern
Canada with smaller land parcels may
present added difficulties.
Finally, the limited number of land use
possibilities in this project area
contributed to improved accuracy. In
areas such southern Ontario, more
extensive use of land for orchards,
vineyards, horticulture, recreation and
rural residential development would
present opportunities for confusion using
this technique of mapping land use
changes.
Nevertheless, for large parcels of change
in actively developing regions such as the
project area, the visual interpretation
technique described will produce
acceptable degrees of accuracy and useable
results in both analog and digital
formats.
ACKNOWLEDGEMENTS
The project was a joint venture between
Alberta Forestry, Lands and Wildlife and
Environment Canada (Ottawa and Western and
Northern Region). The Environmental
Information Systems Division of
Environment Canada provided the digital
files of the land use change maps. The
assistance of each of these participants
is gratefully acknowledged.
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Farmer, Michel, J. Seguin and R. Van
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Fox, M.F. and S.L. Macenko, 1985. The
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