The LUCAS project Land Use Cover Area Frame Survey - PowerPoint PPT Presentation

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The LUCAS project Land Use Cover Area Frame Survey

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The LUCAS project Land Use Cover Area Frame Survey – PowerPoint PPT presentation

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Title: The LUCAS project Land Use Cover Area Frame Survey


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. 352 4301 35113
Fax 352 4301 37317 e-mail marco.fritz_at_ec.europ
a.eu http//forum.europa.eu.int/irc/dsis/landstat/
info/data/index.htm
2
  • What is LUCAS?
  • Methodology
  • Results
  • 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
  • 2001 - survey carried out in 13 MS
  • 2002 - survey carried out in UK and IE and in
    EE-HU-SI
  • 2003 - survey carried out in 15 MS Hungary
  • 2005 - survey carried out in LT-LV-PL
  • 2006 - 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 2001
88030 points surveyed
6
What is LUCAS? Coverage 2006
169943 points surveyed
7
  • What is LUCAS?
  • Methodology
  • Results
  • Conclusions

8
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 52North 10 East
  • Origin 4.321.000 meters west, 3.210.000 meters
    south of centre point
  • 4.025.583 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

9
Methodology Stratification results
10
Methodology Process
Image 2000
1.000.000 points
Photo-Interpretation
Ortho-Photos
Sampling
250.000 points
Survey
Compute statistics
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
    1.000.000 photos. Estimated size 1.5 Tb)
  • On average
  • 13 points surveyed/day
  • 400 points/surveyor
  • 30 days of work/surveyor

12
Methodology Nomenclature
55 classes
33 classes
13
Methodology Observations on the ground...
Reaching the points
Observing the features in the field
14
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15
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16
  • What is LUCAS?
  • Methodology
  • Results
  • Conclusions

17
Results Comparison Stratification/Ground survey
CZ
18
Results Accuracy
  • Accuracy required by Council Regulations (EEC) N
    959/93 on other crop statistics and (EEC) N
    837/90 on cereals production

19
Results LUCAS 2006 Survey CZ (before QC)
20
Results LUCAS 2006 Survey EU11
21
Results LUCAS 2006 Survey CZ
22
  • What is LUCAS?
  • Methodology
  • Results
  • Conclusions

23
Conclusions
  • LUCAS is not covering all countries
  • Sampling focused on agricultural area but also
    covering all strata
  • Stratification available
  • Around 1.000.000 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)

24
Further conclusion
  • nor is it observing on the ground!
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