Some notes about Italian experience with Land use surveys Ministry of Agriculture Working group on Land use Some notes about Italian experience with Land use surveys Marco Ballin – Maurizio Esposito luxembourg, 20 october 2009

Outline of the talk Ministry of Agriculture What is AGRIT Popolus (Permanently Observed POints for Land Use Statistics) the point frame sampling survey on agriculture future developments Some notes about integration luxembourg, 20 october 2009

Ministry of Agriculture What is agrit Ministry of Agriculture Agrit is a growing system of surveys on land use. It is included in the Italian National Statistical Programme under responsibility of Ministry of Agriculture It is constituted by two parts: the first one cover the whole national territory the second one is, for the moment, carried out mainly on the agriculture areas luxembourg, 20 october 2009

Ministry of Agriculture Popolus Ministry of Agriculture First Part It is mainly concerned with the building up and maintenance of a frame named POPOLUS The frame contains 1.206.863 points (regular squared grid, one point every 500 metres). Each point has been classified by photo interpretation accordingly to the following nomenclature: luxembourg, 20 october 2009

Popolus

Ministry of Agriculture Popolus Ministry of Agriculture The updating plan foresees that one third of the points is updated each year by photo interpretation each pixel of ortophoto is 0,25 square metre (0.5mt x 0.5 mt) 750.000 points out of 1.206.863 are classified of interest for agriculture statistics. 525.000 of them have been linked with administrative data luxembourg, 20 october 2009

Ministry of Agriculture Point frame sampling survey on agriculture Ministry of Agriculture It is a sampling survey mainly concerned on agricultural area about 80.000 points (out of 750.000 of interest for agriculture) are observated each year Stratification is defined on the base of: Administrative localization Land cover: Crops, permanent crops, meadows and pasture, trees outside forestry and rural houses luxembourg, 20 october 2009

Ministry of Agriculture Point frame sampling survey on agriculture Ministry of Agriculture Sample size proportional to strata size Each point is visited up to 3 times a year: First visit: may-June (land use and yield of wheat and durum) Second visit: July-August (mainly for area and yield of sugar beet, tomatoes, and only area of maize and soya Third visit (September October): use of mais Some slight differences in the calendar are due to regions’ climate conditions luxembourg, 20 october 2009

Ministry of Agriculture Point frame sampling survey on agriculture Ministry of Agriculture It is going to play a central role in the land use and in the agriculture statistical system It will be used to supply part of data requested by the new crop regulation: Table 1: columns 2-4, 7, 8, 11 luxembourg, 20 october 2009

Coefficient of variation (%) Quality results Ministry of Agriculture Precision: National level Land use Area Coefficient of variation (%) Cereals   Durum wheat 1.291.192 1,1 Common wheat 563.211 1,7 Barley 287.886 2,5 Maize 1.233.695 1 Industrial crops Sunflower seed 144.347 3,5 Soya 171.062 3 Sugar beet 65.724 5,1 Vegetables Tomatoes 96.372 4,3 luxembourg, 20 october 2009

Coefficient of variation (%) Quality results Ministry of Agriculture Precision: regional level (piemonte) Land use Area Coefficient of variation (%) Cereals   Durum wheat 2.815 22.6 Common wheat 92.752 4 Barley 27.305 7.6 Maize 206.544 2.4 Industrial crops Sunflower seed 3.828 20.7 Soya 4778 18.8 Sugar beet 963 38.1 Vegetables Tomatoes 2.520 23 luxembourg, 20 october 2009

Ministry of Agriculture Future developments Ministry of Agriculture (under implementation) Improvement of technical aspects: use of administrative data and territory digital model for survey design (improving stratification,estimation method, etc.) (under evaluation) Inclusion of environmental purposes: soil erosion, land management, presence of residuals of fertilizers, etc. luxembourg, 20 october 2009

Ministry of Agriculture Future developments Ministry of Agriculture Which type of integration? it should be recognized that integration has a cost and different users could ask for different degrees of integration In establishing, planning or improving the integration of a set o statistical tools, surveys and actors it could help to indicate which of the quality dimensions (relevance and completeness, accuracy, timeliness and punctuality, accessibility and clarity, coherence and comparability) have the priority and which tools and methodologies are available to obtain the expected results under resource constraints luxembourg, 20 october 2009

Ministry of Agriculture Future developments Ministry of Agriculture Which type of integration? In order to clarify the purpose and level of integration, the following dimensions could be considered: · dimension 1: Data collection · dimension 2: Data analysis · dimension 3: Data dissemination · dimension 4: Institutional framework luxembourg, 20 october 2009

Ministry of Agriculture Future developments Ministry of Agriculture Which type of integration? Under the first dimension (Data collection) should be included all tools that aim at establishing a closer link between results belonging to different statistical processes or statistical units (observed by different institutions, with different surveys, in different domains). The objective of this integration in data collection is mainly to improve coherence and comparability. f.e. the establishment of a common nomenclature used by different survey is an action that could be classified under this axis luxembourg, 20 october 2009

Ministry of Agriculture Future developments Ministry of Agriculture Which type of integration? The second dimension (Data analysis) comprises all statistical tools and methods that aim at linking data already collected from different sources. The objective of this dimension is mainly to improve relevance and completeness, coherence and comparability and accuracy. The integration in data analysis depends to a large extent on the integration at the data collection level. The cost consists mainly in training of survey statisticians and acquisition of software. Estimation techniques, meta-analysis, statistical matching are some examples of tool that can be classified under this axis luxembourg, 20 october 2009

Ministry of Agriculture Future developments Ministry of Agriculture Which type of integration? The third dimension (Data disseminations) includes all tools and methods that facilitate users’ access to data pertaining to different data sources and domains. The objective of this integration therefore is to improve accessibility. luxembourg, 20 october 2009

Ministry of Agriculture Future developments Ministry of Agriculture Which type of integration? The fourth dimension (institutional framework) includes all governance arrangements that facilitate the coordination between different data producers and between users and producers in all phases of the statistical process. The main objective of this dimension is to increase the efficiency and effectiveness of the statistical system luxembourg, 20 october 2009

Ministry of Agriculture