596 
ACQUISITION ON INFORMATION ON GROWTH 
Information on the growth of the forest resource is extensive. However, due to large differences in sample 
selection and mathematical modelling, significant inconsistencies exist between the existing growth projection 
models. 
Major components of this process are empirical volume functions, growth equations and simulators, as well as 
time-series sample plot data. A key concern here is the calibration of growth models and their applicability 
to the resource inventory data base. 
APPLICATIONS OF REMOTE SENSING DATA 
Remote sensing data is used extensively in the acquisition of the forest resource theme as described earlier. 
The data currently used in that process is mainly airborne. 
Opportunities exist in the updating multi resource inventories with the use of spaceborne remote sensing 
imagery, such as thematic mapper products of LANDSAT and SPOT data. This process is generally cost 
effective and accommodates large volumes of throughput. It is emphasized that quality control is a major 
component of this process. Also, integration with GIS can increase productivity in resource inventory sampling 
procedures. 
CREATION OF NEW APPLICATIONS PRODUCTS 
Multi resource inventory data, combined with digital elevation models and projected data bases, then with GIS 
and Image Analysis software, can provide a range of new products in land related information. Such products 
as color enhanced thematic maps ’draped’ over three-dimensional perspective views of selected watersheds, 
simulating the effects of various management practices. An exciting new opportunity is to add to this "live" 
video images for the same area on a side "window", to combine the "real world" environment with the 
mathematical representation. Different patterns of harvesting practices can then be "painted" on the video 
imagery for public presentations. Hence, alternative land use practices can be compared for decision making. 
CONCLUSION 
The multi resource inventory model described briefly in this paper is technologically feasible. However, the 
success of its implementation will depend on the availability of financial resources and on the willingness to 
expand "timber" inventories to include non timber resource data. 
REFERENCES 
Cunia, T. 1974, ed. Proceedings: Monitoring forest environment through successive sampling IUFRO S4.02, 
Syracuse, New York. 
Hegyi, F. 1989, The role of GIS in Provincial inventories, In Proceedings: GIS 89: A wider perspective. 
Vancouver, Canada. 
Loetsch, F. and K. E. Haller, 1973, Forest Inventory, Vol. I and II, BLV Verlagsgesellschaft, München.