20260417
04351900
1.0
FALSE
002
ENVIRONMENT.HABITAT_SURVEY_2024
450515.330300
461525.293100
332705.780000
347582.628800
1
Projected
GCS_OSGB_1936
Linear Unit: Meter (1.000000)
British_National_Grid
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WKT>PROJCS["British_National_Grid",GEOGCS["GCS_OSGB_1936",DATUM["D_OSGB_1936",SPHEROID["Airy_1830",6377563.396,299.3249646]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",-100000.0],PARAMETER["Central_Meridian",-2.0],PARAMETER["Scale_Factor",0.9996012717],PARAMETER["Latitude_Of_Origin",49.0],UNIT["Meter",1.0],AUTHORITY["EPSG",27700]]</WKT><XOrigin>-5220400</XOrigin><YOrigin>-15524400</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>27700</WKID><LatestWKID>27700</LatestWKID></ProjectedCoordinateSystem>
20241011
17223000
20241011
17243600
150000000
5000
INSPIRE
75b8e23e-27b9-4b87-aee9-16901d267a65
dataset
GIS Team
Nottingham City Council
20241011
ArcGIS Metadata
1.0
Enterprise Geodatabase Feature Class
Habitat Survey
2022-06-30T00:00:00
2022-06-30T00:00:00
2024-03-10T00:00:00
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>Nottingham City Council commisioned a project to produce a digital habitat baseline for the City and undertake habitat surveys of key wildlife sites. The purpose of this work is to allow for detailed analysis of the City’s natural resources as well as to provide an indication of the condition of habitats in Nottingham’s key wildlife sites. The outputs of the project consist of a report, and a digital GIS habitat map for the City of Nottingham for use in GIS analysis and integrated master planning. This will then be applied to inform further biodiversity opportunity and natural capital mapping. The data should be viewed alongside the report, which can be found here: https://www.nottinghaminsight.org.uk/d/abHIvLuo</SPAN></P></DIV></DIV>
© Crown Copyright and Database Rights [INSERT CURRENT YEAR] OS AC0000822898. Use of this data is subject to terms and conditions. Nottingham City Council.
GIS Team
Nottingham City Council
Environment
Open Space
Habitats
Greenspace
Woodland
Biodiversity
Conservation
Environment
Open Space
Habitats
Greenspace
Woodland
Biodiversity
Conservation
License
<DIV STYLE="text-align:Left;"><DIV><P><SPAN>no conditions apply</SPAN></P></DIV></DIV>
0.0001
0
9.00719925474099E+15
-1.24912393670804
-1.08266337845687
53.0228443756196
52.8879616510245
Esri ArcGIS 13.2.2.49743
1
-1.249124
-1.082663
53.022844
52.887962
The habitat baseline for Nottingham maps habitats within the City of Nottingham boundary to a resolution of UKHab Level 31 (i.e., deciduous woodland, coniferous woodland) with a minimum mapping unit (MMU) of 25 m2. The habitat baseline will be used in subsequent lots of the wider Nottingham Natural Capital Assessment project to build an understanding into Nottingham’s biodiversity, natural capital, and tree stock. The habitat baseline was produced by applying a semi-automated approach to classify habitats within the City of Nottingham to a minimum of UKHab Level 3. This approach applied a series of datasets which are either openly available or have been provided by Nottingham City Council. This process is outlined below: 1. Produce GIS layer containing contiguous topographic boundaries 2. Development of an automated decision tree to attribute polygons in topographic layer to a minimum of UKHab Level 2 3. Analysis of automated classification to apply additional data to further attribute habitats to a minimum of UKHab Level 3 A field survey of priority areas was completed for 73 priority sites using the UKHab Professional edition. achieving UKHab Level 4 applying secondary codes, and green infrastructure codes to identified features. Data from the field survey was used to update and refine the semi-automated classification where applicable, and to provide additional information about the priority areas. Full methodology is described in the project report: https://www.nottinghaminsight.org.uk/d/abHIvLuo
899279
EPSG
6.3(3.0.1)
ENVIRONMENT.HABITAT_SURVEY_2024
Feature Class
899279
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SITE_ID
SITE_ID
String
20
0
0
SITE_NAME
SITE_NAME
String
256
0
0
UKHAB_L2
UKHAB_L2
String
80
0
0
UKHAB_L3
UKHAB_L3
String
80
0
0
UKHAB_L4
UKHAB_L4
String
80
0
0
LABEL
LABEL
String
80
0
0
PRIMARY
PRIMARY
String
80
0
0
GRASSLAND_INFERRED
GRASSLAND_INFERRED
String
10
0
0
SECONDARY
SECONDARY
String
80
0
0
CONDITION
CONDITION
String
10
0
0
METHOD
METHOD
String
200
0
0
AREA_M2
AREA_M2
Double
8
38
8
WARD
WARD
String
100
0
0
SURVEYED
SURVEYED
String
200
0
0
REPORT
REPORT
String
200
0
0
SHAPE
SHAPE
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
SHAPE.AREA
SHAPE.AREA
Double
0
0
0
SHAPE.LEN
SHAPE.LEN
Double
0
0
0
Simple
FALSE
899279
TRUE
FALSE