The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.The historical shoreline analysis was based on all available Ordnance Survey maps and aerial imagery information. Analysis looked at position and geometry over annual to decadal time periods, providing a dynamic picture of how the coastline has changed since the start of the early 1800s.Once all datasets were collated, data was interrogated using the ArcGIS package – Digital Shoreline Analysis System (DSAS). DSAS is a software package which enables a user to calculate rate-of-change statistics from multiple historical shoreline positions. Rate-of-change was collected at 25m intervals and displayed both statistically and spatially allowing for areas of retreat/accretion to be identified at any given stretch of coastline.The DSAS software will produce the following rate-of-change statistics:Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.

The dataset comprises scanned images of maps and aerial photographs of the Falkland Islands. The original maps are printers films and final paper printed originals of Falkland Islands OS maps, compiled for the Falkland Islands Government and the Foreign and Commonwealth Office by the Overseas Directorate of the Ordnance Survey. The Falkland Islands Government retains copyright interest in the maps. There are no access or usage constraints for BGS staff for BGS purposes. The field slips of geological maps were compiled by BGS under contract to the Falkland Islands Government. Copyright remains with the Falkland Islands Government , but there are no access or usage constraints for BGS staff for BGS purposes. Access to both datasets are restricted to BGS staff.

🇬🇧 영국 English The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.The historical shoreline analysis was based on all available Ordnance Survey maps and aerial imagery information. Analysis looked at position and geometry over annual to decadal time periods, providing a dynamic picture of how the coastline has changed since the start of the early 1800s.Once all datasets were collated, data was interrogated using the ArcGIS package – Digital Shoreline Analysis System (DSAS). DSAS is a software package which enables a user to calculate rate-of-change statistics from multiple historical shoreline positions. Rate-of-change was collected at 25m intervals and displayed both statistically and spatially allowing for areas of retreat/accretion to be identified at any given stretch of coastline.The DSAS software will produce the following rate-of-change statistics:Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.

This record is for Approval for Access product AfA439. A habitat map derived from airborne data, specifically CASI (Compact Airborne Spectrographic Imager) and LIDAR (Light Detection and Ranging) data.

The habitat map is a polygon shapefile showing site relevant habitat classes. Geographical coverage is incomplete because of limits in data available. It includes those areas where the Environment Agency, Natural England and the Regional Coastal Monitoring Programme have carried out sufficient aerial and ground surveys in England.

The habitat map is derived from CASI multispectral data, LIDAR elevation data and other GIS products. The classification uses ground data from sites collected near to the time of CASI capture. We use ground data to identify the characteristics of the different habitats in the CASI and LIDAR data. These characteristics are then used to classify the remaining areas into one of the different habitats.

Habitat maps generated by Geomatics are often derived using multiple data sources (e.g. CASI, LIDAR and OS-base mapping data), which may or may not have been captured coincidentally. In instances where datasets are not coincidentally captured there may be some errors brought about by seasonal, developmental or anthropological change in the habitat.

The collection of ground data used in the classification has some limitations. It has not been collected at the same time as CASI or LIDAR capture; it is normally within a couple of months of CASI capture. Some variations between the CASI data and situation on site at the time of ground data collection are possible. A good spatial coverage of ground data around the site is recommended, although not always practically achievable. For a class to be mapped on site there must have been samples collected for it on site. If the class is not seen on site or samples are not collected for a class, it cannot be mapped.

No quantitative accuracy assessment has been carried out on the habitat map, although the classification was trained using ground data and the final habitat map has been critically evaluated using Aerial Photography captured simultaneously with the CASI data by the processors and independently by habitat specialists. Please note that this content contains Ordnance Survey data © Crown copyright and database right [2014] and you must ensure that a similar attribution statement is contained in any sub-licences of the Information that you grant, together with a requirement that any further sub-licences do the same.

The Cornwall and Isles of Scilly Mapping Project is a project that has been carried out over 12 years, with the aim to enhance our understanding about past human settlement, by providing information and syntheses for all archaeological sites and landscapes that are visible on aerial photographs.

To achieve this, all archaeological sites identified on aerial photography in Cornwall and the Isles of Scilly were mapped and interpreted to a consistent standard, and the resulting information was incorporated into the county Historic Environment Record and National Monument Record databases.

More than 50,000 aerial photographs were consulted during the project. These photographs are housed in three main collections: at the National Monuments Record Centre, Cornwall Council, and Cambridge University.

The archaeological scope of the project, in line with NMP projects nationally, included all archaeological features from the Neolithic to 1945 visible on aerial photographs. The general sphere of interest of the project can be summarised as follows: - All visible archaeological features (including probable and possible features), dating from the Neolithic to the twentieth century (pre-1946), were recorded. - This includes both plough-levelled sites and those with upstanding remains, regardless of whether they had been previously surveyed. - Previously surveyed sites (those, for instance, appearing on OS maps) which have not been photographed or which are completely obscured by vegetation were not recorded. - Features still in use or fossilised by later structures that are still in use (e.g. buildings, field hedges, canals and railways) were not recorded.

Over the course of its 12 year lifetime the project has produced a huge amount of data. This, in tandem with technological developments during this time, has completely transformed not only the amount of available information about Cornwall's archaeology visible on aerial photographs, but also the way in which it can be accessed.

As a result of the project, coupled with the use of GIS, whole historic and prehistoric landscapes have been mapped and can be viewed in their entirety.

Roughly 30,000 archaeological features were mapped and recorded in the project Morph2 database. More than 24,000 monument records in the Cornwall and Isles of Scilly Historic Environment Record (HER) were either created or enhanced by data from the project. Seventy five percent of the sites identified during the project are new to the HER and 85% are new to the National Monuments Record.

Accuracy of Content: The level of detail and the accuracy of the information held on each site reflects the nature or content of the sources used to compile the record. It has been possible to verify the information 'on the ground' in only a small percentage of sites. Users of this data should consult the HER to clarify the level of reliability and/or precision that should be afforded to information derived from the Cornwall & Scilly NMP dataset.

The Site and its Content is provided for your general information only; we do not undertake that Content will always be accurate and complete. Therefore, if you propose to do, or refrain from doing, something in reliance upon Content you find on the Site, you must check the accuracy of the relevant Content by some other means.

Historical Map Data is owned and supplied by Landmark Information Group and Ordnance Survey (OS) and supplied to Natural Resource Wales (NRW) via an OS licence. Landmark Information Group Limited holds the most extensive digital collection of historical Ordnance Survey mapping of Great Britain. This has been taken from Ordnance Survey’s archive of Town Plans, County Series and National Grid mapping covering the period from 1841 to 1996. Historical mapping provides a unique insight into our past and is a fascinating journey through history in itself. Particularly when displayed with contemporary mapping or aerial photography. Historical Map Data is available for different time periods, referred to as epochs. Epoch 1: the first County Series survey; published dates 1843 to 1893 Epoch 2: the first County Series revision; published dates 1891 to 1912 Epoch 3: the second County Series revision; published dates 1904 to 1939 Epoch 4: the third County Series revision; published dates 1919 to 1939

The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.The historical shoreline analysis was based on all available Ordnance Survey maps and aerial imagery information. Analysis looked at position and geometry over annual to decadal time periods, providing a dynamic picture of how the coastline has changed since the start of the early 1800s.Once all datasets were collated, data was interrogated using the ArcGIS package – Digital Shoreline Analysis System (DSAS). DSAS is a software package which enables a user to calculate rate-of-change statistics from multiple historical shoreline positions. Rate-of-change was collected at 25m intervals and displayed both statistically and spatially allowing for areas of retreat/accretion to be identified at any given stretch of coastline.The DSAS software will produce the following rate-of-change statistics:Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.

Living England is a multi-year project which delivers a broad habitat map for the whole of England, created using satellite imagery, field data records and other geospatial data in a machine learning framework. The Living England habitat map shows the extent and distribution of broad habitats across England aligned to the UKBAP classification, providing a valuable insight into our natural capital assets and helping to inform land management decisions. Living England is a project within Natural England, funded by and supports the Defra Natural Capital and Ecosystem Assessment (NCEA) Programme and Environmental Land Management (ELM) Schemes to provide an openly available national map of broad habitats across England.This dataset includes very complex geometry with a large number of features so it has a default viewing distance set to 1:80,000 (City in the map viewer).Process Description:A number of data layers are used to develop a ground dataset of habitat reference data, which are then used to inform a machine-learning model and spatial analyses to generate a map of the likely locations and distributions of habitats across England. The main source data layers underpinning the spatial framework and models are Sentinel-2 and Sentinel-1 satellite data from the ESA Copernicus programme, Lidar from the EA's national Lidar Programme and collected data through the project's national survey programme. Additional datasets informing the approach as detailed below and outlined in the accompanying technical user guide.Datasets used:OS MasterMap® Topography Layer; Geology aka BGS Bedrock Mapping 1:50k; Long Term Monitoring Network; Uplands Inventory; Coastal Dune Geomatics Mapping Ground Truthing; Crop Map of England (RPA) CROME; Lowland Heathland Survey; National Grassland Survey; National Plant Monitoring Scheme; NE field Unit Surveys; Northumberland Border Mires Survey; Sentinel-2 multispectral imagery; Sentinel-1 backscatter imagery; Sentinel-1 single look complex (SLC) imagery; National forest inventory (NFI); Cranfield NATMAP; Agri-Environment HLS Monitoring; Living England desktop validation; Priority Habitat Inventory; Space2 Eye Lens: Ainsdale NNR, State of the Bog Bowland Survey, State of the Bog Dark Peak Condition Survey, State of the Bog Manchester Metropolitan University (MMU) Mountain Hare Habitat Survey Dark Peak, State of the Bog; Moors for the Future Dark Peak Survey; West Pennines Designation NVC Survey; Wetland Annex 1 inventory; Soils-BGS Soil Parent Material; Met Office HadUK gridded climate product; Saltmarsh Extent and Zonation; EA LiDAR DSM & DTM; New Forest Mires Wetland Survey; New Forest Mires Wetland Survey; West Cumbria Mires Survey; England Peat Map Vegetation Surveys; NE protected sites monitoring; ERA5; OS Open Built-up Areas; OS Boundaries dataset; EA IHM (Integrated height model) DTM; OS VectorMap District; EA Coastal Flood Boundary: Extreme Sea Levels; AIMS Spatial Sea Defences; LIDAR Sand Dunes 2022; EA Coastal saltmarsh species surveys; Aerial Photography GB (APGB); NASA SRT (Shuttle Radar Topography Mission) M30; Provisional Agricultural Land Classification; Renewable Energy Planning Database (REPD); Open Street Map 2024.Attribute descriptions: Column Heading Full Name Format Description

SegID SegID Character (100) Unique Living England segment identifier. Format is LEZZZZ_BGZXX_YYYYYYY where Z = release year (2223 for this version), X = BGZ and Y = Unique 7-digit number

Prmry_H Primary_Habitat Date Primary Living England Habitat

Relblty Reliability
Character (12) Reliability Metric Score

Mdl_Hbs Model_Habs Interger List of likely habitats output by the Random Forest model.

Mdl_Prb Model_Probs Double (6,2) List of probabilities for habitats listed in ‘Model_Habs’, calculated by the Random Forest model.

Mixd_Sg Mixed_Segment Character (50) Indication of the likelihood a segment contains a mixture of dominant habitats. Either Unlikely or Probable.

Source Source

Description of how the habitat classification was derived. Options are: Random Forest; Vector OSMM Urban; Vector Classified OS Water; Vector EA saltmarsh; LE saltmarsh & QA; Vector RPA Crome, ALC grades 1-4; Vector LE Bare Ground Analysis; LE QA Adjusted

SorcRsn Source_Reason

Reasoning for habitat class adjustment if ‘Source’ equals ‘LE QA Adjusted’

Shap_Ar Shape_Area

Segment area (m2) Full metadata can be viewed on data.gov.uk.

🇬🇧 영국 English The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.The historical shoreline analysis was based on all available Ordnance Survey maps and aerial imagery information. Analysis looked at position and geometry over annual to decadal time periods, providing a dynamic picture of how the coastline has changed since the start of the early 1800s.Once all datasets were collated, data was interrogated using the ArcGIS package – Digital Shoreline Analysis System (DSAS). DSAS is a software package which enables a user to calculate rate-of-change statistics from multiple historical shoreline positions. Rate-of-change was collected at 25m intervals and displayed both statistically and spatially allowing for areas of retreat/accretion to be identified at any given stretch of coastline.The DSAS software will produce the following rate-of-change statistics:Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.

Updated Boundaries of Ancient Woodland polygons covering England. This is the updated spatial dataset that describes the geographic extent and location of ancient woodland in England (excluding the Isles of Scilly). Ancient Woodland features will be approved county-by-county for publication throughout the first year of production until the data product coverage extends across England. Where available this dataset takes precedence over the Ancient Woodland – England dataset.The update revises the inventory to address problems and gaps in the previous iteration. Technological advances mean that small ancient woodlands (0.25-2ha) are being represented within the inventory for the first time as well as wood pasture and parkland being represented as its own category. The inventory identifies ancient woodland sites in England. Ancient woodland is identified by studying the presence or absence of woods from historic maps, information about the wood's name, shape, internal boundaries, location relative to other features, ground survey, and aerial photography. The information recorded about each wood and stored on the Inventory Database includes its grid reference, its area in hectares and how much is semi-natural or replanted. Prior to the digitisation of the boundaries, only paper maps depicting each ancient wood at 1:50 000 scale were available. Attribution statement: © Natural England 2024. Contains OS data © Crown copyright and database rights 2024. OS AC0000851168.It includes Ancient Semi-Natural Woodland (ASNW), which retains a native tree and shrub cover; Plantation on Ancient Woodland Sites (PAWS), where the original tree cover has been felled and replaced by planting, often with conifers; Ancient Wood Pasture (AWPP), where the trees are managed in tandem with a long established tradition of grazing, characteristically with at least some veteran trees or shrubs or; Infilled Ancient Wood Pasture (IAWPP) which has become infilled with trees arising from planting or natural regeneration.Updated Boundaries of Ancient Woodland polygons covering England. This is the updated spatial dataset that describes the geographic extent and location of ancient woodland in England (excluding the Isles of Scilly). Ancient Woodland features will be approved county-by-county for publication throughout the first year of production until the data product coverage extends across England. Where available this dataset takes precedence over the Ancient Woodland – England dataset. The AWI Update project will deliver an accurate inventory of the entirety of England’s ancient woodland resource, including those woods smaller than 2ha which are currently not mapped on the AWI. It will also ensure that the AWI is used and respected by planners, developers, land managers and all those who make and use spatial plans in England’s countryside.The ancient woodland boundaries are digitised to OS MasterMap - assessed by licencing staff as suitable for OS Presumption to Publish process. However, the maps that Ancient Woodlands are based upon include the OS 1” First Edition maps, the OS 1:25 000 and the OS 1:50 000 maps. The boundaries cannot be taken as precise, especially where they are surrounded by woodland, and are only precisely comparable with other boundaries at the 1” map scale (1:63 360). The inventory identifies over 22,000 ancient woodland sites in England. Ancient woodland is identified using presence or absence of woods from old maps, information about the wood's name, shape, internal boundaries, location relative to other features, ground survey, and aerial photography. The information recorded about each wood and stored on the Inventory Database includes its grid reference, its area in hectares and how much is semi-natural or replanted. Prior to the digitisation of the boundaries, only paper maps depicting each ancient wood at 1:50 000 scale were available. The datasets consulted: OS MasterMap, OS First Edition Maps (Historic County Series Maps Epoch 1-4), Historic OS Drawings, Aerial Imagery, Original AWI Datasheets, Open Source old historical maps (varies depending on county agreements), BSBI Indicator species data, County Tithe Maps, Forestry Commission National Forest Inventory and Forest Condition Survey. Besides the isolated and modified woodland boundaries derived from OS MasterMap that have been identified Ancient Woodland, additional third party data is viewed for informative purposes only during the creation of the project layer. No data from any other of these third party sources is copied, transferred or viewable in the layer to be published."Full metadata can be viewed on data.gov.uk.

description: This cover contains the outlines of recent landslides formed prior to Hurricane Mitch in October - November 1998. Jeffrey Coe and Robert Bucknam mapped the landslides. Most landslides were mapped using 1:40,000-scale aerial photographs and a Kern PG-2 photogrammetric plotter at 4X and 8X magnifications. The photographs were scaled and oriented to the topographic base map using prominent topographic landmarks and plotted on a transparent polyester overlay registered to the topographic base maps at scales of 1:50,000 or 1:25,000. In areas where landslides were very sparse, the aerial photographs were scanned with a mirror stereoscope at 4X magnification, and landslide locations were transferred to base maps by inspection. The mapped landslides were digitized manually or by an optical scanner, and the data were then digitally registered to a digital version of the base map in ArcInfo.; abstract: This cover contains the outlines of recent landslides formed prior to Hurricane Mitch in October - November 1998. Jeffrey Coe and Robert Bucknam mapped the landslides. Most landslides were mapped using 1:40,000-scale aerial photographs and a Kern PG-2 photogrammetric plotter at 4X and 8X magnifications. The photographs were scaled and oriented to the topographic base map using prominent topographic landmarks and plotted on a transparent polyester overlay registered to the topographic base maps at scales of 1:50,000 or 1:25,000. In areas where landslides were very sparse, the aerial photographs were scanned with a mirror stereoscope at 4X magnification, and landslide locations were transferred to base maps by inspection. The mapped landslides were digitized manually or by an optical scanner, and the data were then digitally registered to a digital version of the base map in ArcInfo.

description: This cover contains the outlines of landslides formed during Hurricane Mitch in October - November 1998. Jeffrey Coe and Robert Bucknam mapped the landslides and related effects in and adjacent to downstream drainages. Most landslides were mapped using 1:40,000-scale aerial photographs and a Kern PG-2 photogrammetric plotter at 4X and 8X magnifications. The photographs were scaled and oriented to the topographic base map using prominent topographic landmarks and plotted on a transparent polyester overlay registered to the topographic base maps at scales of 1:50,000 or 1:25,000. In areas where landslides were very sparse, the aerial photographs were scanned with a mirror stereoscope at 4X magnification, and landslide locations were transferred to base maps by inspection. The mapped landslides were digitized manually or by an optical scanner, and the data were then digitally registered to a digital version of the base map in ArcInfo.; abstract: This cover contains the outlines of landslides formed during Hurricane Mitch in October - November 1998. Jeffrey Coe and Robert Bucknam mapped the landslides and related effects in and adjacent to downstream drainages. Most landslides were mapped using 1:40,000-scale aerial photographs and a Kern PG-2 photogrammetric plotter at 4X and 8X magnifications. The photographs were scaled and oriented to the topographic base map using prominent topographic landmarks and plotted on a transparent polyester overlay registered to the topographic base maps at scales of 1:50,000 or 1:25,000. In areas where landslides were very sparse, the aerial photographs were scanned with a mirror stereoscope at 4X magnification, and landslide locations were transferred to base maps by inspection. The mapped landslides were digitized manually or by an optical scanner, and the data were then digitally registered to a digital version of the base map in ArcInfo.

The NFI definition of woodland is a minimum area of 0.5 hectares under stands of trees with, or with the potential to achieve, tree crown cover of more than 20% of the ground. Areas of young trees, which have the potential to achieve a canopy cover of more than 20%, will also be interpreted as woodland and mapped. The minimum width for woodland is 20 m, although where woodlands are connected by a narrow neck of woodland less than 20 m wide, the break may be disregarded if less than 20 m in extent. Intervening land classes such as Roads - all 'tarmac' roads should be excluded from the woodland area, but internal forest tracks, farmers tracks, rides etc. will be included as part of the woodland if< 20m wide. Rivers - where the gap in woodland is 20m then rivers will be excluded from the woodland area.Power lines etc. - where the gap in woodland is 20m then power lines will be excluded from the woodland area.Railways - all normal gauge railways should be excluded from woodland Scrubby vegetation" is included within this survey where low woody growth seems to dominate a likely woodland site. The definition of an open area is any open area that is 20m wide and 0.5 ha in extent and is completely surrounded by woodland.The woodland boundaries have been interpreted from colour aerial orthophotographic imagery. For the base map, photographic images aimed to be no older than 3 years at the time of mapping (i.e. areas mapped in 2007 would be based on photographs that were ideally taken no earlier than 2004). As the map is be the basis for a longer rolling programme of sample field surveys it has been necessary to develop procedures to update the map to the date of the field survey, currently 2011, for the purpose of reporting on the current phase.The map is continually updated on an annual basis. These updates will are achieved by a combination of remote sensing and updated aerial imagery analysis for changes in the woodland structure and with reference to available new planting information from grant schemes and the FE sub-compartment database. Ordnance Survey MasterMap® (OSMM) features have been used as a reference for capturing the woodland boundaries. OSMM is the most up to date large-scale digital map of GB providing a seamless database for 1:1250, 1:2500 and 1:10000 survey data. All woodland (both urban and rural, regardless of ownership) which is 0.5ha or greater in extent, with the exception of Assumed woodland or Low density areas that can be 0.1ha or greater in extend, as been mapped Woodland that is less than 0.5ha in extent will not be described within the dataset but will be included in a separate sample survey of small woodland and tree features. The primary objective is to create a new digital map of all woodland in Great Britain using O.S.MasterMap features as boundaries where appropriate. The map shows the extent of all woodland of 0.5 ha.Woodland categories are defined by IFT (Interpreted Forest Type) values. Detailed Woodland categories are: BroadleavedConiferFelledGround Prepared for New PlantingMixed - predominantly BroadleavedMixed - predominantly ConiferYoung TreesCoppiceCoppice with StandardsShrub LandUncertainCloud or ShadowLow DensityAssumed woodlandFailedWindthrow/WindblowNon woodland categories are defined by the IOA (Interpreted Open Area) values. Detailed Non woodland categories are:Agriculture landBare areaGrassOpen waterOther vegetationPower lineQuarryRiverRoadUrbanWindfarm

This dataset contains the location data published in the NPWS Flora Protection Order Map Viewer – Bryophytes http://bit.ly/2BxDNUA

The Flora (Protection) Order, 2015 (S.I. No. 356 of 2015) gives legal protection to 65 species of bryophytes in the Republic of Ireland (25 liverworts and 40 mosses). Information packs are now available for each of the known FPO bryophyte populations, downloadable as PDF documents.

There are 476 such “Taxon Site” documents. A Taxon Site is defined here as an assemblage of all the records for a particular taxon at a particular place (as there may have been several sightings of a taxon at roughly the same place, made by different people, and on different occasions over the years). Each Taxon Site is represented on the Map Viewer by a single coordinate. The coordinate might be the most accurate and most recent record at a Taxon Site, or it might be the best guess for sites where a taxon hasn’t been seen for many years. All the PDF documents contain basic information on the taxon threat status, location (grid reference, vice-county), recorder name and date, OS Discovery map, management and conservation recommendations and a descriptive extract from Rare and Threatened Bryophytes of Ireland. Over 300 Taxon Sites have recent survey data and more accurate information is available for these, including field data sheets, GPS coordinates, aerial photographs, site maps and site photographs.

The process for revision of the FPO from the Red Data List is explained in the Irish Wildlife Manual – IWM87.pdf and reviewed in Revision of the Flora (Protection) Order in the Republic of Ireland.

Summary The NFI definition of woodland is a minimum area of 0.5 hectares under stands of trees with, or with the potential to achieve, tree crown cover of more than 20% of the ground. Areas of young trees, which have the potential to achieve a canopy cover of more than 20%, will also be interpreted as woodland and mapped. The minimum width for woodland is 20 m, although where woodlands are connected by a narrow neck of woodland less than 20 m wide, the break may be disregarded if less than 20 m in extent. Intervening land classes such as Roads - all 'tarmac' roads should be excluded from the woodland area, but internal forest tracks, farmers tracks, rides etc. willbe included as part of the woodland if < 20m wide. Rivers - where the gap in woodland is 20m then rivers will be excluded from the woodland area. Power lines etc. - where the gap in woodland is 20m then power lines will be excluded from the woodland area. Railways - all normal gauge railways should be excluded from woodland Scrubby vegetation" is included within this survey where low woody growth seems to dominate a likely woodland site. The definition of an open area is any open area that is 20m wide and 0.5 ha in extent and is completely surrounded by woodland. The woodland boundaries have been interpreted from colour aerial orthophotographic imagery. For the base map, photographic images aimed to be no older than 3 years at the time of mapping (i.e. areas mapped in 2007 would be based on photographs that were ideally taken no earlier than 2004). As the map is be the basis for a longer rolling programme of sample field surveys it has been necessary to develop procedures to update the map to the date of the field survey, currently 2011, for the purpose of reporting on the current phase. The map is continually updated on an annual basis. These updates will are achieved by a combination of remote sensing and updated aerial imagery analysis for changes in the woodland structure and with reference to available new planting information from grant schemes and the FE sub-compartment database. Ordnance Survey MasterMap® (OSMM) features have been used as a reference for capturing the woodland boundaries. OSMM is the most up to date large-scale digital map of GB providing a seamless database for 1:1250, 1:2500 and 1:10000 survey data. All woodland (both urban and rural, regardless of ownership) which is 0.5ha or greater in extent, with the expection of Assumed woodland or Low density areas that can be 0.1ha or greater in extend, as been mapped Woodland that is less than 0.5ha in extent will not be described within the dataset but will be included in a separate sample survey of small woodland and tree features.

Description. The primary objective is to create a new digital map of all woodland in Great Britain using O.S.MasterMap features as boundaries where appropriate. The map shows the extent of all woodland of 0.5 ha.Woodland categories are defined by IFT (Interpreted Forest Type) values. Detailed Woodland categories are: Broadleaved Conifer Felled Ground Prepared for New Planting Mixed - predominantly Broadleaved Mixed - predominantly Conifer Young Trees Coppice Coppice with Standards Shrub Land Uncertain Cloud or Shadow Low Density Assumed woodland Failed Windthrow/Windblow Non woodland categories are defined by the IOA (Interpreted Open Area) values. Detailed Non woodland categories are: Agriculture land Bare area Grass Open water Other vegetation Power line Quarry River Road Urban Windfarm A full list of attributes can be found in the Data Lineage section.

Any maps produced using this data should contain the following Forestry Commission acknowledgement: "Contains, or is based on, information supplied by the Forestry Commission. © Crown copyright and database right [Year] Ordnance Survey [100021242]". Attribution statement: Contains OS data © Crown copyright [and database right] [year].

Data from a National Vegetation Classification survey of 10 sand dune sites including shapefiles of NVC polygons, vegetation mosaics, target notes, quadrats, photograph locations and overall survey boundary. Data collected in 2020 and 2021 based on field survey of entire sites with field maps digitised to OS Mastermap and aerial photographs.

The GLA have produced a dataset that provides a more accurate estimate of the extent of the London’s green infrastructure - the city’s parks, gardens, trees, green spaces, rivers and wetlands, and features such as green roofs.

The green cover layer was created by combining classified near-infrared aerial imagery (NDVI) with land use datasets and resulted in a green cover estimate for London of between 48-51 percent. The baseline is presented as a range to account for variations in the analysis of aerial imagery. The methodology is set out in the report below and a web map created to visualise the data.

The final green cover layer is available to download in a geospatial format (shape files).

**Contains OS data **© Crown copyright and database rights 2019.

Contains Verisk **Analytics ** GeoInformation Group UKMap data.

NOTE: The data is based on Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'.