The dataset was based upon Ordnance Survey MasterMap data, filtered to remove features that were unlikely to be hedges and excluding built up areas as garden hedges were not being targeted. These were then reviewed on the aerial imagery and assigned to one of the following types:

• Not a hedge
• Intensively managed
• Trimmed & dense
• Overgrown
• Line of trees
• Defunct
• Newly planted
• Recently coppiced
• Recently laid
• Woodland
• Uncertain

Hedges not included in the MasterMap data were also added, leading to a dataset of 22,370 features of which 17,013 were thought to be hedges. This was all undertaken in an incredibly short timescale, with data attribution starting on the 15th and finishing on the 27th December 2016.

Further information from Crispin Flower.

The work involved assessing data originally from the National Land Use Database of Previously Developed Land, British Geological Society BRITPITS data and Environment Agency Historic Landfill data. Each feature was interpreted on aerial photography to determine whether OMH was likely to be present. Where OMH was not thought to be present the feature was removed from the inventory. Where OMH was thought to be present the feature was replaced with an accurately mapped boundary. Attributes were recorded for each retained feature detailing the sources of information, the confidence that OMH was present and notes describing the reasons for any uncertainty.

The result was the first ever inventory that separated OMH from brownfield sites more generally. In total 141,153 features were checked, but only 8,410 (32,602 hectares) of these were believed to be possible OMH and were therefore retained in the inventory. Greater London was shown to have the highest density of possible OMH, though Middlesbrough and St Austell in Cornwall were also found to be hotspots (shown above).

The process of inventory creation and the results were recorded in a rule base and project report.

Further information from Claire Lush.

The review of other habitat mapping activities highlighted the range of approaches in use, including the incorporation of existing data, remote sensing and field survey. These approaches were summarised to form a list of possible options for inventory creation, from which a preferred approach was selected based upon the options available and some innovation where solutions more appropriate to England were required.

The prototype inventories were created based upon data already available to Natural England. These covered the whole of England for all 64 terrestrial, freshwater and coastal Annex I habitats. The presence of Annex I habitat was identified based upon existing habitat data, automatically searching for habitat codes that correspond to each Annex I habitat. Coverage, gaps and confidence was assessed for each source dataset and resulting inventory.

Further information from Crispin Flower.

Because of the biodiversity importance of OMH the habitat was identified as a Biodiversity Action Plan habitat in 2007. However, such sites are threatened by redevelopment (due to their usual status as brownfield sites), inappropriate ‘restoration’, inappropriate management or natural succession. There is very little knowledge of the distribution of OMH, as there is no data that identifies OMH sites at a national level.

exeGesIS were awarded this project in 2011, which has increased understanding of OMH in England and Wales by identifying the key features that are found within such habitats and enhancing knowledge of the distribution of such sites. This involved the development of a new survey methodology and a survey of 98 survey sites to identify OMH habitat, as well as a survey of invertebrates on 50 of the sites - the largest single survey of its kind in the UK. These surveys provided invaluable information on the importance of OMH sites to conservation and the recognition of important sites remotely and in the field.

The results of this work were:

• A handbook for the identification and survey of OMH sites.
• A provisional national inventory of OMH sites in England and Wales, along with an inventory data capture rule base.
• An integrated OMH survey website, including a map of OMH sites and survey data entry forms.
• Field survey data supplied to the NBN Gateway.

Further information from Crispin Flower.

Over successive years these data were assessed to refine the boundary and attribute information associated with each polygon in the inventory and additional data were sourced regionally for inclusion. A data capture rule base was created and maintained throughout these projects, to act as a guide to wood-pasture and parkland assessment. Data were assessed against historic maps and aerial photography, as well as modern data sources. Ground truthing was undertaken in the west midlands and south west, through which the inventory data capture rule base was refined to ensure the best assessment of available datasets.

The resulting provisional inventory mapped 156,838 ha of wood-pasture and parkland, though this was known to overestimate the actual extent, and it was estimated to include over 5,000 sites made up of over 7,500 polygons.

Further information from Claire Lush.

Further information from Claire Lush.

Further information from Crispin Flower.

• Develop a database to provide standard storage and management of data regarding survey and monitoring of ponds
• Recruit information from partners who manage information of relevance to ponds in the UK
• Create an inventory of ponds in the UK
• Enable the collection of pond information ‘online’ from members of the public
• Present pond information online

The requirement that was met by exeGesIS was to develop data input and verification software that could be run from within the user's standard GIS interface. Initial trials of the tool were well received by users and the system went into widespread use. Support and training for the system was provided by exeGesIS.

Further information is available from David Mitchel.