An approach to integrate land cover and farm statistics to allocate dairy systems in Europe

C.A. Mücher,

Centre for Geo-Information1

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

C.A. Mücher,


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

C.A. Mücher,


FSS the Netherlands, 1997

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

dairying cattle-rearing

andfattening

cattle-dairying,rearing

andfatteningcombined

sheep,goats and

othergrazing

livestock

mixedlivestock

mixedcrops-

livestock

% A

A

Permanent pastureand meadow

Fodder+forage

Other arable land(arable land-fodder-forage)

Total Unutilisedagricultural land

Woodland area

C.A. Mücher,


FSS GREECE, 1997

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0


andfattening



sheep,goats and

othergrazing

livestock

mixedlivestock

mixedcrops-

livestock

% A

A


Fodder+forage



Woodland area

C.A. Mücher,


FSS FINLAND, 1997

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0


andfattening



sheep,goats and

othergrazing

livestock

mixedlivestock

mixedcrops-

livestock

% A

A


Fodder+forage



Woodland area

C.A. Mücher,


FSS-1, ‘Noord-Nederland

0

100000

200000

300000

400000

500000

600000

Dairying Cattle-rearing

andfattening

Cattle-dairying,rearing


Sheep,goats and

othergrazing

livestock

Mixedlivestock

Mixedcrops-

livestock

Allholdings

Are

a (h

a)

Permanentpasture andmeadow

Fodder+forage+fallow land

Other arable land

Unutilisedagricultural land

Woodland area

Used AgriculturalArea

C.A. Mücher,


FSS-1, ‘Zuid-Nederland’

0

50000

100000

150000

200000

250000

300000

350000

400000

450000

Specialistdairying

Specialistcattle-rearing

andfattening

Cattle-dairying,rearing


Sheep,goats and

othergrazing

livestock

Mixedlivestock

Mixedcrops-

livestock

Allholdings

Are

a (h

a)

Permanentpasture andmeadow

Fodder+forage+fallow land

Other arable land

Unutilisedagricultural land

Woodland area

UAA

C.A. Mücher,


CORINE versus National Land Cover Data

C.A. Mücher,


Land Cover Data SourcesCORINE LGN-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

C.A. Mücher,


0

Details of LGN and CORINE

C.A. Mücher,


1

LGN3 Pastures

Annual cops associated with perm

Complex cultvatio

n patterns

Land principally occupied by agr

Agro-forestry

areas

Natural grasslands

Moors and heath lands

Non-irrigated arable land

Fruit trees and berry

plantation

grass 64.1 44.6 40.8 51.5 3.6 12.8 17.4 23.9

maize 6.3 3.4 14.3 13.1 0.2 3.9 3.5 3.8

potatoes 1.7 9.6 3.6 1.0 0.3 2.0 14.6 5.4

beets 0.9 0.4 2.9 0.5 0.2 1.0 9.4 4.4

cereals 1.7 3.1 3.3 0.8 0.5 1.2 17.1 7.2

other agricultural crops 1.7 3.7 5.6 1.4 0.3 1.2 13.2 6.2

greenhouses 0.2 0.3 0.8 0.1

orchards 0.5 1.1 0.1 1.0 17.5

bulb cultivation 0.5 0.2 0.1 0.1 1.4 0.3

deciduous forest 2.6 25.7 3.9 8.6 7.9 6.1 2.4 3.7

coniferous forest 1.3 4.5 5.9 1.8 24.2 1.3 0.1

heath 0.1 0.1 0.0 13.0

nature with low vegetation 1.9 3.3 1.4 1.4 46.4 24.6 2.0 0.9

bare soil in nature area 0.1 0.1 9.7 1.4 0.1

fresh water 3.9 0.3 1.6 1.0 6.5 2.0 2.5 3.5

salt water 0.2 0.0 0.0 0.0 17.9 1.0 0.7

continuous urban area 4.8 0.4 6.7 4.9 1.4 1.5 4.7 11.4

built-up in rural area 0.2 0.3 0.5 0.6 0.6 0.2 0.2

deciduous forest in urban area 0.2 0.5 0.3 0.5 0.1 0.3 0.3 0.2

coniferous forest in urban area 0.1 0.1 0.0 0.3

built-up area with dense forest 0.4 0.1 0.4 0.7 0.1 0.4 0.2 0.3

grass in built-up area 2.1 0.1 2.7 2.2 1.4 1.4 2.5 4.2

bare soil in built-up area 0.1 0.1 0.2 0.3 0.2 0.1 0.1

main roads and railways 2.6 4.0 2.5 2.5 0.5 1.2 2.8 4.5

builtings in rural area 2.0 0.8 3.0 2.8 0.1 0.6 1.4 1.5

TOTAL 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

LGN-3

CORINE

C.A. Mücher,


2

Method 1 - Area Index Dairy

Total FSS2 dairy (ha) Total Cor7 (ha) Index (%)Groningen 47280 74596 63Friesland 176490 279118 63Drenthe 66550 142059 47Overijssel 138910 255558 54Gelderland 134660 343157 39Flevoland 10750 17075 63Utrecht 51300 94407 54Noord-Holland 55910 124194 45Zuid-Holland 63970 126302 51Zeeland 5270 20212 26Noord-Brabant 117000 310619 38Limburg 31690 107802 29

C.A. Mücher,


3

CORINE NL - 7 classes

Pastures

Annual/Permanent crops

Complex cultivation patternLand principally occupied by agr.Agro-forestry

Natural GrasslandsMoors and Heathlands

C.A. Mücher,


4

Result - Method 1

0 %

< 30

40 - 50

> 60 %

45

38

63

26

29

6363

47

54

3951 54

C.A. Mücher,


5

LGN-3 Grass and Maize

45

GrasslandMaize

C.A. Mücher,


6

Result - Method 2, Grass

56

44

43

24

32

7263

50

62

5157 63

C.A. Mücher,


7

Result - Method 2, Maize

90

53

90

49

44

9973

64

63

5174 66

C.A. Mücher,


8

Area Index Grass - Method 2

Meitelling LGN3 Index (%)Groningen 48949 78301 63Friesland 163922 228070 72Drenthe 48715 97757 50Overijssel 113464 183090 62Gelderland 112305 222081 51Flevoland 8786 20323 43Utrecht 45822 72364 63Noord-Holland 51520 91714 56Zuid-Holland 59367 104292 57Zeeland 5185 21458 24Noord-Brabant 71551 161097 44Limburg 18873 59758 32

Grassland ‘Meitelling’ is the total area of grassland used by dairy (4.1)

C.A. Mücher,


9

Area Index Maize - Method 2

Fodder ‘Meitelling’ is assumed to be maize in LGN-3

Meitelling LGN3 Index (%)Groningen 4211 5775 73Friesland 9167 9267 99Drenthe 11500 18096 64Overijssel 26111 41280 63Gelderland 24473 47851 51Flevoland 2173 2403 90Utrecht 3402 5177 66Noord-Holland 2401 2663 90Zuid-Holland 2125 2869 74Zeeland 1718 3512 49Noord-Brabant 36296 68530 53Limburg 8721 20031 44

C.A. Mücher,


0

Comparison Methods

0 %

< 30

> 60 %

45

38

63

26

29

6363

47

54

3951

54

57

47

48

28

35

7363

52

62

5157

63

40-50

COR7 + FSS-2 (1990), Dairy

LGN-3 ( Mais+ Grass) + Meitelling

C.A. Mücher,


1

Comparison Indexes

0

10

20

30

40

50

60

70

80

ZL LI NB FL GL DR NH ZH OV GR UT FRProvinces

Ind

exes

index LGN-3 gras+mais

Index COR7

C.A. Mücher,


2

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

C.A. Mücher,


3

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.

C.A. Mücher,


4

GRID 5000*5000 meter

C.A. Mücher,


5

GRID 5000*5000 meter

C.A. Mücher,


6

Number of Grids EU-15EU15 width: 3341 km

height: 3855 km

scale 5km 515,182 unique gridcells

1km 12,879,555 100 m 1,287,955,500

Documents

An approach to integrate land cover and farm statistics to allocate dairy systems in Europe