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Remote sensing is a suitable source of information for agricultural statistics. Depending on the scale of application, the statistical approach benefits from different ways of combining the satellite information with other sources. Operational applications developed within the frame of the MARS project and an example on a more local scale, carried out within the frame of the TERRA del SUD programme are examined. The techniques described can reduce the cost of forecasts and estimates based on ground gathered data at provincial, regional, national and European level, while maintaining an acceptable level of reliability. The scale limit is given by the error of measurement committed using satellite images and by the spatial density of meteorological data.

Additional information

Authors: GENOVESE G, JRC Ispra (IT);TERPESSI C, Nuova Telespazio, Roma (IT)
Bibliographic Reference: Paper presented: 50th Session of the ISI, Beijing (CN), August 21-29, 1995
Availability: Available from (1) as Paper EN 39238 ORA
Record Number: 199511234 / Last updated on: 1995-10-13
Original language: en
Available languages: en
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