Special UNISPACE III volume

Marsteller, Deborah

Bibliographic data

Monograph

Persistent identifier:: 856485039

Author:: Marsteller, Deborah

Title:: Special UNISPACE III volume

Sub title:: including: ISPRS Workshop on "Resource Mapping from Space", ISPRS-EARSeL Workshop on "Remote Sensing for the Detection, Monitoring and Mitigation of Natural Disasters", ISPRS-NASA Seminar on "Environment and Remote Sensing for Sustainable Development", July 1999, Vienna, Austria

Scope:: IV, 170 Seiten

Year of publication:: 1999

Place of publication:: Coventry

Publisher of the original:: RICS Books

Identifier (digital):: 856485039

Illustration:: Illustrationen, Diagramme, Karten

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: ISPRS Workshop on "Resource Mapping from Space"

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: OPERATIONAL CROP MONITORING AND PRODUCTION FORECAST BY REMOTE SENSING IN HUNGARY. G. Csornai. Cs. Wirnhardt, Zs. Suba. P. Somogyi, G. Nador, L. Martinovich, L. Tikász, A. Kocsis, Gy. Zelei, M. Lelkes

Document type:: Monograph

Structure type:: Chapter

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 Model: Int. J. of Remote Sensing, Vol. 15, no. 18, pp. 3767- 3784. 1994. 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

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