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20210806
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20210923
15490200
cfc_gen
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20016542.515200
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11966392.608300
1
003
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
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INSPIRE
ESRI ArcCatalog 9.3.1.3000
en
This dataset, compiled from various sources at UNEP-WCMC, shows the current extent of global forest cover. It is divided into needle-leaf forest (NF), non-forest (NON), temperate, broadleaf and mixed forest (TBMF), tropical dry forest (TDF) and tropical moist forest (TMF). This general dataset of global forest cover was produced from a series of regional datasets containing more detailed information of the forest cover. This dataset can be used with the dataset showing original forest cover to identify broad change.
About half of the forest that was present under modern (i.e. post-Pleistocene) climatic conditions, and before the spread of human influence, has disappeared, largely through the impact of man's activities. The spread of agriculture and animal husbandry, the harvesting of forests for timber and fuel, and the expansion of populated areas have all taken their toll on forests. The causes and timing of forest loss differ between regions and forest types, as do the current trends in change in forest cover. This dataset has been produced from a variety of sources to be used in comparison with the dataset showing original forest cover allowing change over time to be identified.
UNEP-WCMC
1998
Global Generalised 'Current' Forest
cfc_gen
vector digital data
Cambridge, UK
UNEP-WCMC
withheld
Citation: Global Generalised 'Current' Forest dataset (V 3.0) prepared at UNEP World Conservation Monitoring Centre, March 1998.
publication date
1998
None planned
-164.865723
179.811661
72.582535
-52.384056
-164.865723
179.811661
-52.384056
72.582535
unknown
current forest cover
current
forest
cover
needle-leaf
temperate
broadleaf
tropical dry
tropical moist
tropical
UNEP-WCMC
global
unknown
world
Apply to the UNEP-WCMC for terms and conditions of access.
1) Adhere to terms and conditions of access 2) acknowledge the source appropriately, 3) do not re-distribute part or all of these data without contacting UNEP-WCMC
Shapefile
UNEP-WCMC
mailing and physical address
219 Huntingdon Road
Cambridge
Cambridgeshire
CB3 0DL
UK
+44 (0) 1223277314
+44 (0) 1223277136
spatialanalysis@unep-wcmc.org
en
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
UNEP-WCMC
mailing and physical address
Cambridge
Cambridgeshire
CB3 0DL
219 Huntingdon Road
UK
+44 (0) 1223277314
Spatial Analysis Unit
+44 (0) 1223277136
spatialanalysis@unep-wcmc.org
20110927
Offline Data
+44 (0) 1223277314
+44 (0) 1223277136
UNEP-WCMC
Spatial Analysis Unit
mailing and physical address
219 Huntingdon Road
Cambridge
Cambridgeshire
CB3 0DL
UK
spatialanalysis@unep-wcmc.org
6.736
6.736
Vector
Simple
FALSE
19818
TRUE
FALSE
GCS_WGS_1984
D_WGS_1984
WGS_1984
6378137.000000
298.257224
1.000000
cfc_gen
Feature Class
19818
Global distribution of current forest cover (polygon)
UNEP-WCMC
objectid
objectid
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
arcgis_geodatabase.sde.cfc_gen.area
arcgis_geodatabase.sde.cfc_gen.area
Double
8
38
8
PERIMETER
PERIMETER
Double
8
Internal feature number.
ESRI
38
8
AREA
AREA
Number
12
GRID_CODE
GRID_CODE
Double
8
Numeric version of TYPE
UNEP-WCMC
38
8
C_GEN2GEOG
C_GEN2GEOG
Double
8
38
8
C_GEN2GE_1
C_GEN2GE_1
Double
8
38
8
TYPE
TYPE
String
4
Forest cover type (text abbreviation)
UNEP-WCMC
0
0
COUNT
COUNT
Double
8
38
0
FOR_
FOR_
Double
8
Numeric representation of forest presence
UNEP-WCMC
38
8
st_area(shape)
st_area(shape)
Double
0
0
0
st_length(shape)
st_length(shape)
Double
0
0
0
Shape
shape
Geometry
8
0
0
Feature geometry.
ESRI
Coordinates defining the features.
The map of Current Forest Cover (CFC) was made up of a number of different data sources, some national, others regional or global. National sources were considered generally more accurate than the regional or global datasets and so where they existed they took priority. Exceptions to this were where the national sources were obviously very much older or of lower resolution and accuracy than the regional or global sources. For some countries a combination of datasets was used, the most accurate parts of each taking priority. Most datasets were from 1990s data sources, a few were from the 1980s.
A wide range of sources at various scales have been incorporated. A crucial aspect of the collation of this dataset is ensuring that the dataset is of the highest possible scientific quality through the involvement of the key experts worldwide. This dataset is assumed to be complete at the time of publication.
Data compiled from various sources. A full list of contributors is available from UNEP-WCMC.
Metadata imported.
withheld
20110927
14413000
UNEP-WCMC
Spatial Analysis Unit
+44 (0) 1223277314
+44 (0) 1223277136
219 Huntingdon Road
Cambridge
Cambridgeshire
CB3 0DL
UK
spatialanalysis@unep-wcmc.org
20210923
ArcGIS Metadata
1.0
UNEP-WCMC
Spatial Analysis Unit
+44 (0) 1223277314
+44 (0) 1223277136
219 Huntingdon Road
Cambridge
Cambridgeshire
CB3 0DL
UK
spatialanalysis@unep-wcmc.org
withheld
Enterprise Geodatabase Feature Class
Global Generalised 'Current' Forest
1998
UNEP-WCMC
UNEP-WCMC
Cambridge, UK
vector digital data
Citation:
UNEP-WCMC. (1998). Global Generalised 'Current' Forest dataset (V 3.0). Cambridge (UK): UNEP-WCMC.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset, compiled from various sources at UNEP-WCMC, shows the current extent of global forest cover. It is divided into needle-leaf forest (NF), non-forest (NON), temperate, broadleaf and mixed forest (TBMF), tropical dry forest (TDF) and tropical moist forest (TMF). This general dataset of global forest cover was produced from a series of regional datasets containing more detailed information of the forest cover. This dataset can be used with the dataset showing original forest cover to identify broad change.</SPAN></P></DIV></DIV></DIV>
About half of the forest that was present under modern (i.e. post-Pleistocene) climatic conditions, and before the spread of human influence, has disappeared, largely through the impact of man's activities. The spread of agriculture and animal husbandry, the harvesting of forests for timber and fuel, and the expansion of populated areas have all taken their toll on forests. The causes and timing of forest loss differ between regions and forest types, as do the current trends in change in forest cover. This dataset has been produced from a variety of sources to be used in comparison with the dataset showing original forest cover allowing change over time to be identified.
UNEP-WCMC
+44 (0) 1223277314
+44 (0) 1223277136
219 Huntingdon Road
Cambridge
Cambridgeshire
CB3 0DL
UK
spatialanalysis@unep-wcmc.org
unknown
global
world
unknown
current forest cover
current
forest
cover
needle-leaf
temperate
broadleaf
tropical dry
tropical moist
tropical
UNEP-WCMC
current forest cover
current
forest
cover
needle-leaf
temperate
broadleaf
tropical dry
tropical moist
tropical
UNEP-WCMC
global
world
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>1) Adhere to terms and conditions of access 2) acknowledge the source appropriately, 3) do not re-distribute part or all of these data without contacting UNEP-WCMC</SPAN></P></DIV></DIV></DIV>
Apply to the UNEP-WCMC for terms and conditions of access.
ESRI ArcCatalog 9.3.1.3000
true
-164.865723
179.811661
72.582535
-52.384056
publication date
1998
1
-164.865723
179.811661
72.582535
-52.384056
Citation:
UNEP-WCMC. (1998). Global Generalised 'Current' Forest dataset (V 3.0). Cambridge (UK): UNEP-WCMC.
The map of Current Forest Cover (CFC) was made up of a number of different data sources, some national, others regional or global. National sources were considered generally more accurate than the regional or global datasets and so where they existed they took priority. Exceptions to this were where the national sources were obviously very much older or of lower resolution and accuracy than the regional or global sources. For some countries a combination of datasets was used, the most accurate parts of each taking priority. Most datasets were from 1990s data sources, a few were from the 1980s.
A wide range of sources at various scales have been incorporated. A crucial aspect of the collation of this dataset is ensuring that the dataset is of the highest possible scientific quality through the involvement of the key experts worldwide. This dataset is assumed to be complete at the time of publication.
Data compiled from various sources. A full list of contributors is available from UNEP-WCMC.
Metadata imported.
2011-09-27T14:41:30
withheld
19818
dataset
EPSG
6.18.3(9.3.1.2)