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The LUCAS project Land Use / Cover Area Frame Survey

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Presentation on theme: "The LUCAS project Land Use / Cover Area Frame Survey"— Presentation transcript:

2 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:

3 What is LUCAS? Methodology Results Conclusions

4 What is LUCAS? An area frame survey: Objectives
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)

5 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

6 What is LUCAS? Coverage 2001 88030 points surveyed

7 What is LUCAS? Coverage 2006 points surveyed

8 What is LUCAS? Methodology Results Conclusions

9 Methodology: Sampling Design
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 Master sample (even points of the base sample): 2km grid: about 1 Mio sample points Photo-interpretation of all master sample points into 7 strata: arable land permanent crops grassland, wood/shrubland, bare land, low or rare vegetation, artificial land water

10 Methodology: Stratification results

11 Photo-Interpretation
Methodology: Process Image 2000 points Photo-Interpretation Ortho-Photos Stratum Points Arable uuuuu Water xxxxxx Artificial yyyyyy Wooded zzzzz Sampling points Survey Compute statistics

12 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

13 Methodology: Nomenclature
Built-up areas A2 Artificial non built-up areas B1 Cereals B2 Root crops B3 Non permanent industrial crops B4 Dry pulses, vegetables and flowers B7 Permanent Crops, Fruit trees & berries B8 Other Permanent Crops C1 Forest Area C2 Other Tree Area D Shrubland E Grassland F Bare Land G Water Areas U11 Agriculture ( + Kitchen garden + Fallow land) U12 Forestry U13 Fishing U14 Mining, Quarrying U21 Energy production U22 Industry & Manufacturing U31 Transport, communication, … U32 Water & waste treatment U33 Construction U34 Commerce, Finance, Business U35 Community Services U36 Recreation, Leisure, Sport U37 Residential U40 Unused U50 Wetland 55 classes 33 classes

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

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17 What is LUCAS? Methodology Results Conclusions

18 Results: Comparison Stratification/Ground survey CZ
LUCAS 2006 Codes Total Arable Land Artificial Areas Bare Grass land Perm. Crops Water Wood, Shrubs ARTIFICIAL LAND 128 9 64 2 38 15 CROPLAND 2801 2721 1 58 5 PERMANENT CROPS 100 33 26 WOODLAND 764 8 69 687 SHRUBLAND 53 29 GRASSLAND 1672 614 988 54 BARE LAND 72 48 3 12 WATER 36 7 21

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

20 Results: LUCAS 2006 Survey – CZ (before QC)
Area (Km²) CV Built-Up Area 858.29 17.89 Non built-up Area 8.81 Cereals 1.77 Root Crops 943.98 9.87 Non permanent industrial crops 4.17 Dry pulses, Vegetables and Flowers 747.98 10.95 Fodder crops 7.18 Permanent crops 12.18 Other permanent crops 195.49 22.00 Forest area 1.73 Other wooded area 725.45 19.75 Shrubland 13.94 Grassland 2.25 Bare Land 16.80 Water 9.73

21 Results: LUCAS 2006 Survey – EU11
Area (Km²) Variance CV(%) % of total area A1 BUILT-UP AREAS 2.69 1.68% A2 ARTIFICIAL NON BUILT-UP AREAS 1.61 3.82% B1 CEREALS 0.37 18.97% B2 ROOT CROPS (Sugar beet, potatoes,…) 1.78 1.27% B3 NON PERMANENT INDUSTRIAL CROPS (Sunflower, rapeseed, soya,…) 1.11 2.91% B4 DRY PULSES, VEGETABLES AND FLOWERS 2.25 1.01% B5 FODDER CROPS 1.76 1.15% B7 PERMANENT CROPS (Apple trees…) 1.46% B8 OTHER PERMANENT CROPS (Vineyard..) 0.90 3.14% C1 FOREST AREA 0.46 24.89% C2 OTHER WOODED AREA 2.18 2.54% D0 SHRUBLAND 1.39 5.35% E0 GRASSLAND 0.43 22.44% E01 Grassland with sparse tree/shrub cover 1.23 5.12% E02 Grassland without tree/shrub cover 17.31% F0 BARE LAND 1.42 2.87% G0 WATER 1.82 1.65%

22 Results: LUCAS 2006 Survey – CZ

23 What is LUCAS? Methodology Results Conclusions

24 Conclusions LUCAS is not covering all countries
Sampling focused on agricultural area but also covering all strata Stratification available Around photos taken. Photos have to be checked and “anonymised” before transmission 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 Photo-interpretation is not an easy process without ground information (confusion matrix) …

25 Further conclusion … nor is it observing on the ground!


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