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CROPMON: HUNGARIAN CROP PRODUCTION FORECAST BY REMOTE SENSING

The Hungarian Agricultural Remote Sensing Program led to a concise methodology that could further be applied operationally. First the main results of a substantial R&D investment and methodology plus validation results are summarized. The crops area assessment, through the processing of multitemporal Landsat and IRS-1C/1D data proved to be efficient at county level because of the accuracy of thematic classification. The novel combined high resolution images + NOAA AVHRR series based crop yield forecast methodology performed well for the major crops (8) at county level. Based on the experiences of the first 5 operational years (from 1997) a general evaluation on the Operational Crop Monitoring and Production Forecast Program (CROPMON) is given. The CROPMON system is a good platform for additional projects implementation as in the case of a serious waterlog assessment and impact analysis in spring, 1999 or flood monitoring in 2000, and the remote sensing control of area-based agricultural subsidies (CwRS), that is carried out operationally for the eight year in 2007 in Hungary.