~ refinement of the digital thematic mapping procedure
( assessmGn t accuracy dependence on the different parameters,
extendibi1ity in time/space and this way the reliability of the
technology)
— assessment of physical and biological aspects of crop growth
and production,
— measuring crop canopy variables throughout a crop cycle,
— assessment on yield indicators using lower resolution (environ
mental ) satellite data,
~ refinement of the yield forecast models used,
— advanced data acquisition and information dissemination(Remetey
and Szentesi,1988).
RS data sources(e.g.) Usage
Geostationary sats (Meteosat) 0
Pol,orbiting environmental sats(Meteor,TIROS) E
Pol,orbiting Earth resources sats(Landsat,SPOT) S
Other space imagery(Cosmos) E
Airborne metric photographs(Wi1d RC20) 0
Airborne multispectral scanner(S-500) C
Aerial b/w,c imagery in VIS/IR/TIR 0
Aerial thermal videotaping(AGA) 0
Aerial thermal profi1er(AGA) C
Aerial imaging spectrometry(Moniteq FLI) C,E
Airborne passive microw.radiometer(BME MHT) C,E
Airborne SLAR (BME MHT) C,E
Light intensity detection and ranging(TLT LIDAR) C,E
Terrain spectroradiometer(Exotech) E,S
Weather radar 0
Others(scatterometer,etc.)
Table 1- Satellite, aerial and terrain RS data sources available
in Hungary (E=experimental, C=campaign, S=semi-operationa1,
O=operationa1)
As far as the infrastructure is concerned, dedicated data
processing hardware has been configured by the staff of Ft>MI
Remote Sensing Centre to support application studies. The
developed software system is running in a MicroVax compatible
en vi r on men t.
At the beginning the potential of the methods and processing
system was studied in different projects (using basically per
point classification approaches) for mapping and inventory of the
most significant crops in Hungary. Recently a set of GIS
supported image analysis methods have been developed and tested
for the same purposes. After having promising preliminary results
in crop yield forecast modelling (Ferencz, 1988), the methods and
the processing system being developed for crop inventory can also
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