International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6, Valladolid, Spain, 3-4 June, 1999 
190 
Interpreter 1 
PAN 
IHS_TM 
IHS_SP 
ORTHO 
QSIM 
Matched Delineation 
(TP) 
19867 
17554 
20347 
22557 
23117 
Unmatched Reference 
(FN) 
9134 
9378 
6998 
7114 
7195 
Total Delineation 
(see Table 5) 
23259 
22558 
23958 
25610 
26625 
Quality 
0.61 
0.55 
0.66 
0.69 
0.68 
Table 7. Calculated quality results from interpreter 1. 
4. CONCLUSIONS 
This paper demonstrated the potential of standard sensor fusion 
techniques like IHS-, PC-, AIF and Brovey transformation to 
combine the spectral and spatial information of satellite data for 
the purpose of forest regional map updating. All three methods 
showed good results for visual interpretation: different forest 
types and age classes could be delineated. The IHS showed the 
best differentiation for delineating forest stand types. 
The applicability of sensor fusion techniques for forest 
inventory mapping has been investigated with different image 
combinations and fusion techniques: Landsat TM and KVR 
images using combined AIF and IHS transformations; IHS 
transformation of Landsat TM and IRS-1C pan and comparison 
to a combined AIF and IHS transformation of SPOT XS and 
pan, IRS-1C pan alone, B/W orthophoto and a simulated 
QuickBird image with lm resolution. 
Five image products (original and fused) have been used for 
‘on-screen’ digitization of the forest stand borders by two 
interpreters. The evaluation of the image data has then been 
carried out in two steps by measuring visibility percentage of 
forest stand borders in comparison to the official forest 
inventory map and a geometrically based accuracy assessment. 
The visibility percentage increased from 71 % for TM_IHS in the 
following order: Pan, IHS-SP, Ortho and achieved maximum 
percentage for Qsim with 88%. 
Finally, an accuracy assessment with a buffer method, 
comparing stand border delineation to actual forest inventory 
data, has been applied and quality measure criteria like 
correctness, completeness and quality have been calculated. 
ACKNOWLEDGEMENTS 
The authors would like to thank DARA, Bonn (MOMS - pilot 
project EE-50 EE 9528-ZA), the MLR from Baden- 
Württemberg, Stuttgart (Ord.-Nr. 55-95.5.) and the European 
Commission (DG XII ENV4-CT96-0359) for funding the 
research work. 
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