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Research
Projects
Restructure Agricultural Statistics: Monitoring Agriculture with Remote
Sensing (MARS) project
Objectives: The primary objectives of this project
are:
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To provide technical support to the EAGGF (European Agricultural Guidance
and Guarantee Fund) as wells as to the Member States' Administrations
in order to improve and industrialize their methods using remote sensing
methods.
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To provide a framework for implementation of the remote sensing technology
assessing the use of high-resolution satellite images as part of the
measures to be taken by the national governments to improve the ground
survey estimates based on an area frame sampling rather than the holding-based
approach.
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To report timely and accurate results of area estimates obtained from
the implementation of this fast acquisition statistical data methodology.
Contribution of Greece in the developments of the MARS project objectives
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Activity A (Regional inventories): This activity consists mainly of
the development, implementation and assessment of crop acreage in the
Greek territory, using remotely sensed data (Spot and Landsat-tm images)
and the area frame sampling methodology. Cultivations include wheat
(soft, durum), barley, maize, cereals, cotton, tobacco, sugar beets,
olive trees, vineyards, etc.
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Activity B (European rapid estimates of acreage and potential yields):
This activity provides rapid estimates on the Greek scale of actually
planted areas of the main annual crops, as compared to the previous
season.
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Improvement - development and assessment of the agricultural statistical
surveys. Completion of software development or improvement, including
modifications, expansion, or re-development.
The stratification method
The stratification method is implemented gradually in all Greek territory
and is finalized in 1995..Samples are obtained by dividing a region
into blocks of equal (square) shape and repeating a pattern of elements
across the region. Thus, a two-dimensional systematic aligned sampling
methodology, with a distance threshold in a stratified area frame
on a square grid is developed. The revised methodology is based on
systematic aligned sampling techniques; it uses census elements (1991)
and provides limited number of strata. The classification is simpler,
easier and less costly to implement than the one that is in current
use. The developed regression model provided more accurate and viable
acreage estimates than a previously applied model and it may be extended
to all cultivated Hellenic regions.
Support: ลล/DG.VI, National Statistical Services
of Greece (NSSG), Hellenic Ministry of Agriculture.
Duration: 1995-1997.
Coordinator: T. Tsiligiridis (Agricultural University
of Athens)
Partners: National Statistical Services of EU, Eurostat
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