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C.A. Mücher, Centre for Geo-Information 1 An approach to integrate land cover and farm statistics to allocate dairy systems in Europe Sander Mücher, Marta.

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Presentation on theme: "C.A. Mücher, Centre for Geo-Information 1 An approach to integrate land cover and farm statistics to allocate dairy systems in Europe Sander Mücher, Marta."— Presentation transcript:

1 C.A. Mücher, Centre for Geo-Information 1 An approach to integrate land cover and farm statistics to allocate dairy systems in Europe Sander Mücher, Marta Pérez-Soba, Berien Elbersen, Frans Godeschalk and Janneke Roos Alterra, Wageningen UR, the Netherlands 5 - 7 October 2000, Aberdeen, Scotland

2 C.A. Mücher, Centre for Geo-Information 2 Content Land Use Statistics per Farm type - (FSS) CORINE land cover versus National land cover Integrative approach, example NL –Method 1 Using CORINE and FSS-2 (broad) –Method 2 Using National LC and statistics (detailed) Conclusions

3 C.A. Mücher, Centre for Geo-Information 3 FSS the Netherlands, 1997

4 C.A. Mücher, Centre for Geo-Information 4 FSS GREECE, 1997

5 C.A. Mücher, Centre for Geo-Information 5 FSS FINLAND, 1997

6 C.A. Mücher, Centre for Geo-Information 6 FSS-1, ‘Noord-Nederland

7 C.A. Mücher, Centre for Geo-Information 7 FSS-1, ‘Zuid-Nederland’

8 C.A. Mücher, Centre for Geo-Information 8 CORINE versus National Land Cover Data

9 C.A. Mücher, Centre for Geo-Information 9 Land Cover Data Sources CORINELGN-3 100 m raster, 44 classes Visual interpretation TM/Spot scale: 1 : 100.000 25 m raster,25 classes Automatic classification TM scale: 1 : 25.000

10 C.A. Mücher, Centre for Geo-Information 10 Details of LGN and CORINE

11 C.A. Mücher, Centre for Geo-Information 11 LGN-3 CORINE

12 C.A. Mücher, Centre for Geo-Information 12 Method 1 - Area Index Dairy

13 C.A. Mücher, Centre for Geo-Information 13 CORINE NL - 7 classes Pastures Annual/Permanent crops Complex cultivation pattern Land principally occupied by agr. Agro-forestry Natural Grasslands Moors and Heathlands

14 C.A. Mücher, Centre for Geo-Information 14 Result - Method 1 0 % < 30 40 - 50 > 60 % 45 38 63 26 29 63 47 54 39 51 54

15 C.A. Mücher, Centre for Geo-Information 15 LGN-3 Grass and Maize Grasslan d Maize

16 C.A. Mücher, Centre for Geo-Information 16 Result - Method 2, Grass 56 44 43 24 32 72 63 50 62 51 57 63

17 C.A. Mücher, Centre for Geo-Information 17 Result - Method 2, Maize 90 53 90 49 44 99 73 64 63 51 74 66

18 C.A. Mücher, Centre for Geo-Information 18 Area Index Grass - Method 2 Grassland ‘Meitelling’ is the total area of grassland used by dairy (4.1)

19 C.A. Mücher, Centre for Geo-Information 19 Area Index Maize - Method 2 Fodder ‘Meitelling’ is assumed to be maize in LGN-3

20 C.A. Mücher, Centre for Geo-Information 20 Comparison Methods 0 % < 30 > 60 % 45 38 63 26 29 63 47 54 39 51 54 57 47 48 28 35 73 63 52 62 51 57 63 40-50 COR7 + FSS-2 (1990), Dairy LGN-3 ( Mais+ Grass) + Meitelling

21 C.A. Mücher, Centre for Geo-Information 21 Comparison Indexes

22 C.A. Mücher, Centre for Geo-Information 22 Conclusions Land use statistics per farmtype are a very useful source as expert knowledge, however, Land Use statistics are difficult to relate to CORINE land cover classes CORINE land cover classes are informational at the landscape level but not at the field level

23 C.A. Mücher, Centre for Geo-Information 23 Conclusions CORINE land cover classes are in fact very heterogeneous at the field level. Surprisingly, the integration of CORINE with FSS-2 (Method 1) give similar results as the integration of National land cover and statistical data.

24 C.A. Mücher, Centre for Geo-Information 24 GRID 5000*5000 meter

25 C.A. Mücher, Centre for Geo-Information 25 GRID 5000*5000 meter

26 C.A. Mücher, Centre for Geo-Information 26 Number of Grids EU-15 EU15 width: 3341 km height: 3855 km scale 5km515,182 unique gridcells 1km 12,879,555 100 m1,287,955,500


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