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The LUCAS project Land Use / Cover Area Frame Survey Marco FRITZ European Commission Eurostat, E1 - Agricultural Statistics. Methodology: LUCAS Office.

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Presentation on theme: "The LUCAS project Land Use / Cover Area Frame Survey Marco FRITZ European Commission Eurostat, E1 - Agricultural Statistics. Methodology: LUCAS Office."— Presentation transcript:

1 The LUCAS project Land Use / Cover Area Frame Survey Marco FRITZ European Commission Eurostat, E1 - Agricultural Statistics. Methodology: LUCAS Office address: BECH C2/614 5, rue Alphonse Weicker, L-2721 Luxembourg Tel.: Fax:

2 n What is LUCAS? n Methodology n Results n Conclusions

3 What is LUCAS? An area frame survey: Statistical method based on the visual observation of sampled geo- referenced points to compute area estimates Objectives To obtain harmonised data at EU25 level on: – Land use and Land cover – Environmental features To provide a common methodology-nomenclature ensuring full comparability of results To calculate early estimates of areas (main crops) in June/July To analyse the interaction agriculture-environment-landscape (multi- purpose survey)

4 What is LUCAS? - Calendar of activities survey carried out in 13 MS survey carried out in UK and IE and in EE-HU-SI survey carried out in 15 MS + Hungary survey carried out in LT-LV-PL survey carried out in 11 MS + PHARE Multi-Country 2000 and 2003 Programmes on Sectoral Pilot Projects in Agriculture and Environment Statistics

5 What is LUCAS? Coverage points surveyed

6 What is LUCAS? Coverage points surveyed

7 n What is LUCAS? n Methodology n Results n Conclusions

8 Methodology: Sampling Design n Base sample: -Uniform square grid of 1km side length over the entire territory of the EU Member States: -ETRS89 Lambert Azimuthal Equal Area coordinate reference system (ETRS-LAEA): »Centre point: 52°North 10° East »Origin: meters west, meters south of centre point nodes = base sample points n Master sample (even points of the base sample): -2km grid: about 1 Mio sample points n Photo-interpretation of all master sample points into 7 strata: 1.arable land 2.permanent crops 3.grassland, 4.wood/shrubland, 5.bare land, low or rare vegetation, 6.artificial land 7.water

9 Methodology: Stratification results

10 Methodology: Process Sampling Photo-Interpretation Compute statistics points points StratumPoints Arableuuuuu Waterxxxxxx Artificialyyyyyy Woodedzzzzz Survey Ortho-Photos Image 2000

11 Methodology: Data collected 407 surveyors and 39 supervisors have collected the following data: Land cover Land use Point and crop photos Landscape photos ( 5 to 6 photos/point in 2006= ~ photos. Estimated size : 1.5 Tb) On average: 13 points surveyed/day 400 points/surveyor 30 days of work/surveyor

12 Methodology: Nomenclature A1Built-up areas A2Artificial non built-up areas B1Cereals B2Root crops B3Non permanent industrial crops B4Dry pulses, vegetables and flowers B7Permanent Crops, Fruit trees & berries B8Other Permanent Crops C1Forest Area C2Other Tree Area DShrubland EGrassland FBare Land GWater Areas 55 classes U11Agriculture ( + Kitchen garden + Fallow land) U12Forestry U13Fishing U14Mining, Quarrying U21Energy production U22Industry & Manufacturing U31Transport, communication, … U32Water & waste treatment U33Construction U34Commerce, Finance, Business U35Community Services U36Recreation, Leisure, Sport U37Residential U40Unused U50Wetland 33 classes

13 Reaching the points Methodology: Observations on the ground... Observing the features in the field 3m3m 40 m 3m3m

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16 n What is LUCAS? n Methodology n Results n Conclusions

17 Results: Comparison Stratification/Ground survey CZ Stratification 2005 LUCAS 2006 CodesTotal Arable Land Artificial Areas Bare Land Grass land Perm. CropsWater Wood, Shrubs ARTIFICIAL LAND CROPLAND PERMANENT CROPS WOODLAND SHRUBLAND GRASSLAND BARE LAND WATER

18 Results: Accuracy n Accuracy required by Council Regulations (EEC) N° 959/93 on other crop statistics and (EEC) N° 837/90 on cereals production : LevelCropMax Error Cv (%) National Cereals (total)1 Permanent Crops (total)2 Permanent Grassland2 Crop > 50000ha (500 km²)5 RegionalCrop > 50000ha (500Km²)5

19 Results: LUCAS 2006 Survey – CZ (before QC) LUCAS 2006Area (Km²)CV Built-Up Area Non built-up Area Cereals Root Crops Non permanent industrial crops Dry pulses, Vegetables and Flowers Fodder crops Permanent crops Other permanent crops Forest area Other wooded area Shrubland Grassland Bare Land Water

20 Results: LUCAS 2006 Survey – EU11 Area (Km²)VarianceCV(%) % of total area A1BUILT-UP AREAS % A2ARTIFICIAL NON BUILT-UP AREAS % B1CEREALS % B2ROOT CROPS (Sugar beet, potatoes,…) % B3 NON PERMANENT INDUSTRIAL CROPS (Sunflower, rapeseed, soya,…) % B4DRY PULSES, VEGETABLES AND FLOWERS % B5FODDER CROPS % B7PERMANENT CROPS (Apple trees…) % B8OTHER PERMANENT CROPS (Vineyard..) % C1FOREST AREA % C2OTHER WOODED AREA % D0SHRUBLAND % E0GRASSLAND % E01Grassland with sparse tree/shrub cover % E02Grassland without tree/shrub cover % F0BARE LAND % G0WATER %

21 Results: LUCAS 2006 Survey – CZ

22 n What is LUCAS? n Methodology n Results n Conclusions

23 Conclusions n LUCAS is not covering all countries n Sampling focused on agricultural area but also covering all strata n Stratification available n Around photos taken. Photos have to be checked and anonymised before transmission n Follow-up evaluation of landscape classification, Grid data combination, comparison with other surveys, further use of LUCAS data, technological watch. Call for tender for erosion risk features n Photo-interpretation is not an easy process without ground information (confusion matrix) …

24 Further conclusion n … nor is it observing on the ground!


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