<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210325</CreaDate>
<CreaTime>16001000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<itemProps>
<itemLocation>
<linkage Sync="TRUE">file://\\serval\s\Common workspace\ETCULS\DATA_DELIVERABLES\AP2020\AP20_1822_Fragmentation\SDI_Pending\WMS\2018classified\2018classified.tif</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<copyHistory>
<copy date="20210325" dest="\\serval\s\Common workspace\ETCULS\DATA_DELIVERABLES\AP2020\AP20_1822_Fragmentation\SDI_Pending\WMS\2018classified\2018classified.tif" source="S:\Common workspace\ETCULS\DATA_DELIVERABLES\AP2021\1192_IDP_GEA\Imperviousness\WMS\2018classified.tif" time="16001000"/>
</copyHistory>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs>This dataset is the new version of the Effective Mesh Density (seff) 2021 dataset with improved input data, for the year 2018. This new dataset uses the Copernicus Imperviousness and the TomTom TeleAtlas datasets as fragmenting geometries. The Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39.</idAbs>
<searchKeys>
<keyword>Land cover</keyword>
</searchKeys>
<idPurp>This dataset is the new version of the Effective Mesh Density (seff) 2021 dataset with improved input data, for the year 2018. This new dataset uses the Copernicus Imperviousness and the TomTom TeleAtlas datasets as fragmenting geometries. The Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39.</idPurp>
<idCredit>@EEA-ETC/ULS</idCredit>
<resConst>
<Consts>
<useLimit>@EEA</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Fragmentation_2018_mesh_density</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii
gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK
KQnFZ9xqAjfC8qO9Juw0rl2SZIvvMBVf+0I9rN2FYtzfNOx9KrGR2+UGmI6mG5jnHysM9xU1YWlR
5l3FWyO9btABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFGaKA
CikBB6UtABRRRQAUUUUAFFFNchVJJwBQBn3lzIj5X7vvWNLIXZscA9qtahdrNNtX7oqlgnr19qm3
VjuMAzTo22tnANKnB5HNGxmJIFHNqFjo9PKG1UpjJ64q3WZo0e2FmLZJPStOqEFFFFABRRRQAUUU
UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABSHocdaWigDGluZba7LSN8p7VVk1SZmODgVp6
hZCcZVefWsZbGZ5CgQ/XFSn0GXNMvn87Y5JDdK3az7HTVtzvfl/5VoVQgooooAKKKKACqWoyiO3O
DzViWVYk3MawL+czzZyMe1JtbFJPcqkbj71L5ZKBsULEWXccYqeKN2JVOmegrKdToioxvuTQWJlT
fwPeq8qGOUx7hn2rSe4W2gWNTlyPyrO3fNuZcsT1NZzajZdTWMXJGlpYYBsjFaFZenynzSpNatb0
3eJjNWkFFFFWQFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABSYA7ClooA
KKKKACiig8CgApksixRl26ClRiwyRioL5S9q4HWkBiXl88zkD7tVAC3NKwIY+tOiG6XaPSs5yUNT
SMXIVXIUJngnmt2wt1jg39WcZrGEO08+tbNtdDydoXJUdqmMouQ3GXKZlxFi8YlscnjNLuPQrxUF
2sz3bOFOCc1PZ211Md0i7FzxmsXBuTOu6UE2ye2hZ5l2g4HU1s1DDCsKYHXuamrqhHlRxTlzMKKK
KsgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAY8gTGagiu
hcOQnAXqafdJvhbHXFYFu7C7EO8r83OKzlKxpCHMdNUcyeZEyjqRTl+6Oc06tDM50WM3n7Cvfk1P
LbJZup6hutXtRmkt7YvEBu96oBxJYF5nw2c5NYTSenU6Kd7X6EbMsgOAcelaFlZrAdxbLNzj0qlb
RM5BQZU962FTadx64qaCvdtDrO3uoguS/Kxrg4zmsiC6kW9SKSR8McdakuLyVLhyDkdMVFB/x8LJ
t3NnNKc7vQ0p0rRdzpB0opFOVBpa6jiCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
KKACiiigAooooAKKKKACo5HEaFj0p46VDcnEJ+UtSbshrcz5ryVpwI+VJxioL+FbZTOxC7jyangs
5HlWQjCg5qh4gxMPLYNjPAPTNcqu43kdUUnNRia2m3QubYfMCRxV+uQ0O7MVyttGRv8A4hWnr+sL
p9sFVgZG6gHkVtCfu3ZNSg/a8sepZ1e4jjsJDvXcB0zWNZajZTWqNI3K9U9TXHXOqyXNzt3vJ6jN
X7SRIQC6Bc9Oe9ZSqXd7HoQwahCzZ3cd/bQwhkI56KKiTW4/MKSJgEZGK5qGYrCzZDN7VGkrNhyD
mj2suhKwUHe50VyY7ghoQdzHnNXtPtDGN8i4btWLpkhkuowxxXVY4qqUeZ8zOTEt017NDqKKK6Dj
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBp6cVQu
LOKTL3B3Y5A9K0KwdY064lDywTMDgkrUTWm1zWirytexm32paZZRu9rzOQV3DqDXIGOfUHeaS4dz
njmpmthIzJIWBzzmp4o0gX93nb6VyuVz36VFUlpq+5mxwLbuXQEE/ezU7XEc7rE2QgPWrssMkvyp
Fzik/wCEf80BnmKn0FCi2KdenDSTGQiaF9oH7o+/NasUVw6ho1GztmqpsY7XYhmdznA6VtwxvGFH
VTUS0M51bxvEk0qxklnVnONvORXVAYFc/azSWrNswd3Y1bh1R5JgrqFHtXRSnFRPKxDlUma1FIDk
Zpa6DlCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiikPK
0AJkeopGwVOemK5CG5nae4zM5wx79KtR3M7Z2yMfxrF1kjreFkupg6rb+XqM7EgITxzUIs0IUh8b
jWrd6cs7FmDEt2zW1pmkRC0xNDz2z1rGMed3R3yxcadNI55rW7kCw2o5xy1Ntbe5N8kF0+2MHDEd
67VbeO0hPlIAazdSsS4FxGuXONwFayi1sccK0W7NfMpXOkxRMrNll6gilBOcLz7Vcsb6Ip9luPvD
jmlv7JYlE0bfLUOkpaoUqs4u0imFLSZHFOXcJuagM2CMdc1NG/zrv9ayakhwSZv2zO8QLYx2qxVV
LqBYxiRcAdM1CdVt9+Acj1rsUklqzk5JN6I0KTFQR3UUoyrj86V7qGMgNIOfequibNE9FICGAIOQ
aWmIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooxQAUUUUAFRyuUiZwMkDOKkooA5
C2tyrySSD5nYk1P5apPuVu3StefTg4Yox3GoU0bBDNJz3FcTozbO94iLV7hpyLI7SMuSOlaa78nd
gDtikhgSBdqDAqSuqEeWKRx1J80rkF5G8kBVPvZp8a7IQH7Dmpaayh1IPQ1Vtbk30sZ17awt86qN
5PbvTnsv9FZFY4IyFPapY7NY5i+SR2Bq12qVHqXKbskmc9Zxxpc4nQccA1e1ECJVdAAPpU7WUYuD
K3K+npUk0KXEJQEEdsVCg7NFuouZM58jzJdzHJNBj2dxgmtIaS4c4cbfWmf2bIzlDIox6Vj7KXU3
VaN9CgxwvBwfakXcSMtk1oJoztktJj0qymkxAfOSxq405LQidSD1uSabI72/zY+XirtQwWyWwITO
D2qeuhKyOVu7uFFFFMQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUmQKWgAo
oooAKKKKACiiigAooooAQgEYIyKRUVPuqB9BTqKAEpixIrlwPmPU1JRQFwooooAKKKKACiiigAoo
ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkIzS0UANCAU6iigAooooAKKKKACiiigAooo
oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig
AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//2Q==
</Data>
</Thumbnail>
</Binary>
</metadata>
