114 
Sympos 
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Lj (target area) 
TRACK# 1 
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SLAR 
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Physics and 
ABSTRACT: 
flown in tl 
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Fig. 4 Flight geometry for the 1985-SLAR programme 
grazing angles used in 1983/84 resulted in excellent 
discrimination capabilities between various crop 
types especially potatoes. The accuracy obtained 
exceeded 90% for most test sites [Ref. 6, 7]. 
Clearly, crop monitoring by airborne microwave 
campaigns is not the ultimate solution. With the 
advent of European and other satellite systems that 
carry microwave sensors for land applications, these 
airborne (semi-)operational programmes will become 
largely obsolete due to the multitemporal and the 
synoptic characteristics of spaceborne systems. 
The presentation of this symposium paper will in 
clude the results of the 1985 campaign as well as a 
discussion on optimum parameters for future 
satellite simulation campaigns. 
8 REFERENCES 
De Loor, G.P., Hoogeboom, P., Attema, E.P.W. (1981). 
The Dutch ROVE program, IEEE Transactions on Geo 
science and Remote Sensing, p.3-10. 
Hoogeboom, P., Binnenkade, P., Veugen, L.M.M. (1984) 
An algorithm for radiometric and geometric 
correction of digital SLAR-data, IEEE Transactions 
on Geoscience and Remote Sensing, p.570. 
Binnenkade, P. et al. (1983). PARES - Preprocessing 
of side-looking airborne radar data, NLR Technical 
Report TR 83009 L. 
Gerbrands, J.J., Backer, E. (1984). Split-and-merge: 
Segmentation of SLAR-imagery, Proceedings 7th Int. 
Conference on Pattern Recognition, Montreal 30.7- 
2.8.84. 
Pavlidis, T. (1977). Structural Pattern Recognition, 
Springer Publishing House, Berlin. 
Binnenkade, P., Kasteren, H.W.J. van, Uenk, D. 
(1985). Semi-operational identification of agri 
cultural crops from airborne SLAR-data, NLR- 
publication MP 85030 U. 
Binnenkade, P. (1985). The processing of and infor 
mation extraction from airborne SLAR-data, NLR- 
publication MP 86004 U. 
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