International Archives of Photogrammetry and Remote Sensing. Vol. XXXII Part 7C2, UNISPACE III, Vienna, 1999 
51 
I5PR5 
UNISPACE III - ISPRS Workshop on 
“Resource Mapping from Space” 
9:00 am -12:00 pm, 22 July 1999, VIC Room B 
Vienna, Austria 
I5PR5 
In the 7 years period of 1991-98 (excluding 1994) the predicted county average yields (•) correlated very well (r~) with the final 
CSOH data. The predicted average yield to the entire country fitted (R 2 ) even better (A). 
5. WATERLOG AND IMPACT MONITORING 
In the past years flood and waterlog hit very seriously the 
country. On the methodology and infrastructure basis a 
thorough monitoring program was launched. This covered tire 
most affected 4 (1998) and 8 (1999) comities of about 4 
million hectares. Reliable waterlog maps and areal measures 
were derived. Beyond the static status assessment of the areas 
under water or having saturated soil impact analysis on the 
crops was also performed. This assessment made use of high 
and mid resolution optical data, that is Landsat TM, IRS 
1C/1D LISS III. and WiFS as well. Because of the vast 
contiguous areas under water (approx. 0.6 million hectare in 
spring, 1999) WiFS data could also be used. The lack of mid 
infrared channel in WiFS data could be compensated. The 
resulted GIS data base and printed maps were utilized by 
MoARD intensively. 
6. CONCLUSION 
Both the validation of the developed remote sensing based 
crop area assessment and yield forecast methods plus the first 
Operational Crop Monitoring and Production Forecast 
Program (CROPMON 1997-1999) in Hungary' clearly 
demonstrated that these methods can be efficiently applied. 
Substantial background and investment was certainly needed. 
About 300 man/year was invested by FOMI RSC in the 
framework of the Hungarian Agricultural Remote Sensing 
Program (1980 to date). The CROPMON reporting calendar 
is very' strictly set up by the Ministry of Agriculture and 
Regional Development, Hungary, to be in synchron with its 
existing farms’ reports based operational production forecast 
and monitoring system. 
The whole HARSP has been supported jointly by the 
National Committee for Technological Development and the 
Ministry' of Agriculture and Regional Development, 
Hungary'. The Operational Crop Monitoring and Production 
Forecast Program (CROPMON) from 1997- on has been 
supported by the Ministry of Agriculture and Regional 
Development. 
REFERENCES 
Csornai, G., dr. Dalia, 0., Gothar, A., dr. Vamosi. J., 1983 
Classification Method and Automated Result Testing 
Techniques for Differentiating Crop Types, Proc. Machine 
Processing of Remotely Sensed Data, West Lafayette, USA 
Csornai, G., dr. Dalia, O., Farkasfaly, J., dr. Vamosi, J., 
Nador, G., dr. Vamosi, J., 1988. Regional Vegetation 
Assessment Using Landsat Data and Digital Image Analysis, 
Proc. 5 th Symp. ISSS Working Group Remote Sensing, 
Budapest, pp. 123-128. 
Csornai, G., dr. Dalia, O., Farkasfaly, J., Nador, G., 1990. 
Crop Inventory Studies Using Landsat Data on Large Area in 
Hungary', Applications of Remote Sensing Agriculture, 
Butterworths, pp. 159-165. 
Puyou Lascassies P., Podaire A., Gay M.: Extracting Crop 
Radiometric Responses from Simulated Low and High 
Spatial Resolution Satellite Data Using a Linear Mixing 
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Buttner, Gy., dr. Csato. E., Maucha. G.: The CORINE Land 
Cover-Hungary Project. GIS/LIS’95 Central Europe. 
Budapest, Hungary. 12-16 June, 1995. 
Remote sensing could be very efficiently used for precise 
crop area estimation and provision of crop maps. The results 
suggest that the necessary classification performance can be 
obtained in most of the cases, therefore the analysis could be 
cost effective. The investment to achieve this seems to be 
worthwhile. 
The new primary combined AVHRR and high resolution 
images based crop monitoring and quantitative yield 
prediction model performed properly and efficiently in a 
more counties' area application and also for the entire 
country. This model produces spatial distribution map for the 
predicted yields. The second, the county level AVHRR based 
crop yield prediction model worked very well and seems to 
have a real potential on areas, having quite different cropping 
pattern. 
Being in the third operational years of CROPMON gradual 
extension of the directly observed counties is under way. 
Parallel to this, many other applications can efficiently be 
added similarly to the waterlog assessment and monitoring. 
Csornai, G.: Towards a satellite based national monitoring 
system in Hungary, Eurisv Colloquium, Budapest, Hungary, 
1*5-16 May, 1997. * 
Csornai, G.: Remote sensing based crop monitoring in 
Hungary, Proc. of ISPRS Commission VII Symposium - 
Resource and Environment Monitoring, VOL. XXXII. Part 7, 
pp. 108-113, Budapest, Hungary, 1-4 September, 1998. 
7. ACKNOWLEDGEMENT