These maps are based on the Ordnance Survey 'Old Series' One-Inch maps of England and Wales. They were the first 1:63 360 geological map series produced by the Geological Survey in England and Wales. Sheets were initially published as full sheets, and later as quarter sheets (NW, NE, SW, SE). Earlier maps are hand-coloured, later maps are colour-printed. The maps show both solid and drift geology. The OS 'Old Series' maps extended as far north as a line drawn between Preston and the Humber. To the north of this, the maps use the same sheetlines as the 1:63 360 New Series, and carry two sheet numbers, which refer to the Old Series (91-110) and New Series (1-73) numbering. These maps are common to both series. A sheet that covers the Isle of Man is also included in the series. Geological maps represent a geologist's compiled interpretation of the geology of an area. A geologist will consider the data available at the time, including measurements and observations collected during field campaigns, as well as their knowledge of geological processes and the geological context to create a model of the geology of an area. This model is then fitted to a topographic basemap and drawn up at the appropriate scale, with generalization if necessary, to create a geological map, which is a representation of the geological model. Explanatory notes and vertical and horizontal cross sections may be published with the map. Geological maps may be created to show various aspects of the geology, or themes. These maps are hard-copy paper records stored in the National Geoscience Data Centre (NGDC) and are delivered as digital scans through the BGS website.

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.

The BGS collection of 1:10 560 / 1:10 000 National Grid Series geological maps. These maps are based on the Ordnance Survey National Grid series of maps, which are defined by the 10 km intervals of the larger 100 km square identified by a specific two-letter code. Each map is thus denoted by a unique reference, e.g. SP 29 NW. SP=100 km square; 29=10 km square; NW=5 km square. Since field mapping is generally undertaken at the scale of 1:10 000 (or equivalent), these maps are the largest-scale main series of geological maps that BGS holds. A small number of remote areas were mapped at 1:25 000 scale, the subsequent maps are also at 1:25 000 scale and are included in this series. The equivalent to the National Grid Series prior to the 1960s is the County Series (at 1:10 560 scale). In the 1960s, this series started to be replaced by 6 inches to 1 mile (1:10 560 scale) National Grid sheets based on the four quadrants (NW, NE, SW, SE) of a 10 km Ordnance Survey National Grid square. Areal coverage provided by the National Grid series of large-scale maps is limited in extent and the preceding County series of six-inch maps can still be the most up to date map available for some areas. Geological maps represent a geologist's compiled interpretation of the geology of an area. A geologist will consider the data available at the time, including measurements and observations collected during field campaigns, as well as their knowledge of geological processes and the geological context to create a model of the geology of an area. This model is then fitted to a topographic basemap and drawn up at the appropriate scale, with generalization if necessary, to create a geological map, which is a representation of the geological model. Explanatory notes and vertical and horizontal cross sections may be published with the map. Geological maps may be created to show various aspects of the geology, or themes. The most common map themes held by BGS are solid (later referred to as bedrock) and drift (later referred to as superficial). These maps are, for the most part, hard-copy paper records stored in the National Geoscience Data Centre (NGDC) and are delivered as digital scans through the BGS website.

[This metadata record has been superseded, see http://data.bgs.ac.uk/id/dataHolding/13480403]. This layer of the map based index (GeoIndex) shows the location of site reports covering a wide range of drilling and site investigation work. Some 2000 reports include the logs from over 10 000 boreholes in addition to those held in the borehole index. The rectangles shown are drawn using the SW and NE corners of the site maps.

Spatial datasets consider the lands contribution to preventing and mitigating climate change, through storage of carbon in the Soils (below ground). This below Ground Carbon spatial datasets represent a strategic resource for England, that indicate the range of carbon storage values in tonnes of carbon per hectare (t C Ha-1 ). At a local scale (e.g. 1:50 000). They are presented as a series of raster datasets for use in GIS Systems at a resolution of 25m2. These maps will assist users to find out where the most important carbon stores in soils in their areas. They are not suitable for field scale carbon mitigation as this would require field scale carbon assessment. As well as soil being an excellent natural carbon sink, locking carbon away from the atmosphere and reducing the amount of greenhouse gasses produced soil carbon has a number of other excellent benefits. The amount of carbon stored within mineral soil depends upon the soil type, with clay rich and silt rich soils storing more carbon than sandy soils. Within peat soils, carbon storage operates by a different process. In a non-compromised or fully functional state peat soils are fully saturated with water for most of the year. This leads to the minimal decomposition of plant biomass, so soil carbon builds up faster than decomposition can occur, so no equilibrium is reached, to form a very carbon-rich layer of peat. However, if the peats are damaged so leading to drying out the soil microbial activity can re-start, and as the carbon is utilised by the soil microfauna, carbon dioxide and methane are then released to the atmosphere, changing a carbon sink that is sequestering carbon, into a source of greenhouse gas emissions. (UK Peatland Strategy 2018) . Natural England produced a report in 2021 reviewing this research and compiling different land use. approximate values in tons per hectare of carbon for a wide variety of habitats in England (Gregg et al 2021) see Carbon Storage and Sequestration by Habitat 2021 (NERR094). Framework created from Soilscapes and NE Natural England Peat Map (Natural England 2008).Soilscapes- 1:250,000 scale soils dataset. [https://www.landis.org.uk/soilsguide/soilscapes_list.cfm ]. the 27 soils carbon figure was assigned. This data was split in 2; Mineral Soils; Organo mineral & Peat Soils. Mineral soil split by habitats. modified by: PHI habitat overlying the soil (more natural / semi-natural the higher the score) with 50% overlap = 30% uplift carbon; the Ancient Woodland (NE 2019) with 50% overlap add 30% uplift in carbon. Organo Mineral & Peat soils: NE Peat Map (2008) was used to describe the shallow and deep peat soils, inc. peaty pockets. then conflated with the Soilscape for organo -mineral soils and peat soils with the NE peat map having priority. Modifiers were used & included: Indications that the habitats might be in good ecological condition, the PHI and the SSSI was used as a proxy. If no PHI overlap a 10% reduction; If the habitat overlying the soil is Fen = 2 x carbon figure. If the habitat overlying the soil is Raised Bog = 2.5 x carbon figure; Arable = reduced carbon lost from peat soils under. The Mineral and Organo mineral & Peat Soils re-joined to single England layer. Then Soil depth & Slope adjustment. Soil depth important to carbon stored. Most carbon in the topsoil, lesser amount of carbon held deep in soil profiles. Put into the model each soil type was allocated to one of four depth classes: Shallow soils with a profile likely to be 15-50 cm or less; The models assumed a 30 cm depth for carbon calculations; Normal depth mineral soils with a profile between 1 m and 1.25 m. The models assumed a 1 m depth for carbon calculations. Blanket peat soils. The models assumed a 2 m depth for carbon calculations. Raised bog and fen peat soils. Model assumed 4 m depth for carbon calculations. Slope, habitats occurring on steep slopes have thinner soil. A value of over 18o was used to show as a proxy for thinner soils. Slope occurring on; on slopes between 0-11o = 0%; on slopes between 11o - 18o = -10%; on slopes over 18o = -20%. NE PHI/ Ancient Woodland - OGL NE Living England - OGL NE Peat Map [2008] - Non- commercial licence Soilscapes - Cranfield University- NE Bespoke Licence SRTM- NASA Shuttle Radar Topography- Open Topography Attribution statement: © Natural England [Year], reproduced with the permission of Natural England, www.gov.uk/natural-england. © Crown Copyright and database right [Year]. Ordnance Survey licence number AC0000851168. Contains, or is based on, information supplied by the Forestry Commission. © Crown copyright and database right [Year] Ordnance Survey 100021242 Soils Data © Cranfield University (NSRI) and for the Controller of HMSO [Year] Need to add text for SRTM NASA Shuttle Radar Topography Mission (SRTM)(2013). Shuttle Radar Topography Mission (SRTM) Global. Distributed by OpenTopography. https://doi.org/10.5069/G9445JDF. Accessed: 2024-05-17

This layer of the map based index (GeoIndex) shows the boundaries of the G-BASE (Geochemical Baseline Survey of the Environment) project mapping areas which are reported as geochemical atlases. The majority of atlases are for stream sediments, with data on stream waters and soils included when available. Separate stream sediment, soil and stream water atlases have been published for Wales. Wales and north of Humber-Trent are reported as hardcopy generally A3 sized publications. The Humber-Trent atlas is available as a pdf file on a CD-ROM. Atlases are available for Shetland, Orkney, South Orkney and Caithness, Sutherland, Hebrides, Great Glen, East Grampians, Argyll, Southern Scotland, Lake District, NE England, NW England and N Wales, Humber-Trent, Wales and West Midlands. Atlases are not available yet for the East Midlands, East Anglia, SE England and SW England.

A PDF map showing the output areas in the North East Region of England as at December 2011. (File Size - 15 MB)

A PDF map showing the Rural Urban Classification (2011) of the OAs in the North East Region. (File Size - 850 KB)

This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information); Band 3 - percentage of the polygon covered by the majority class. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. The 25m raster is the most detailed of the LCM1990 raster products both thematically and spatially, and it is used to derive the 1km products. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

The Mining and Groundwater Constraints Map is part of a screening tool which has been created through a partnership between the Environment Agency and the Coal Authority. Its geographical coverage at the current time is limited to the coalfield in North East England. This screening tool seeks to raise awareness of a variety of mining and groundwater constraints in order that sustainable development and drainage systems may be achieved. Attribution statement: © Environment Agency copyright and/or database right 2017. All rights reserved.

A PDF map showing the output areas in the North East Region of England as at December 2011. (File Size - 15 MB)

Geomorphological map of the Sutlej and Yamuna fans, northwestern India. Grant abstract: India is the largest agricultural user of groundwater in the world. The last 40 years has seen a revolutionary shift from large-scale surface water management to widespread groundwater abstraction, particularly in the northwestern states of Punjab, Haryana and Rajasthan. As a result of this, northwestern India is now a hotspot of groundwater depletion, with 'the largest rate of groundwater loss in any comparable-sized region on Earth' (Tiwari et al., 2009). This unsustainable use of groundwater becomes even more challenging when set increasing demands from a burgeoning population and industrialisation, together with potential but poorly understood effects of climate-driven changes in the water cycle. There are a number of innovative socio-economic strategies that can address this issue, including enhanced recharge and subsurface water storage, but their implementation and success depend on solid regional understanding of the geology and hydrogeology of the aquifer systems, and of the patterns and rates of groundwater flow and recharge. What we know about regional groundwater resources comes largely from either low-resolution studies based on satellite data, or from local investigations; there has been no large-scale, cross-state integrated study of the groundwater system. Groundwater in northwestern India is thought to be largely hosted within buried, sandy former river channels, which extend from the Himalayas toward the southwest and are separated by fine-grained muds. Only a few channels are visible at the surface; most are buried and their existence must be inferred. Our approach is founded on the premise that we must first understand the geology and geometry of the aquifer system before we can hope to estimate the way it will respond to a complex set of future stresses. This means that we must be able to describe the locations, sizes, and characteristics of these channels as well as their age and three-dimensional pattern. Once these characteristics are determined, we can forecast the likely future behaviour of the system. In this proposal, we will provide, for the first time, a regional assessment of the aquifer system in northwestern India, along with models for its evolution under changes in the water cycle and in the way in which groundwater is used. Our project will combine expertise in sedimentology, stratigraphy, sediment routing and basin evolution, hydrology, and isotope geochemistry to understand the geological framework of the aquifer system, the ages of the groundwaters within it, and the ways in which groundwater levels are likely to evolve over the next 50 years. The outcomes of the proposal will include (1) a comprehensive data base that covers the northwestern Indian aquifer system, (2) much better understanding of regional sources, ages, and flow rates of groundwater, and (3) a suite of predictions for how the groundwater system will respond to a range of different future scenarios.

A PDF map showing the middle layer super output areas in the North East Region of England as at December 2011. (File Size - 14 MB)

This dataset consists of the vector version of the Land Cover Map 1990 (LCM1990) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM1990 products are derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM1990 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

This is a thin-sheet model of the regional geoelectric field covering the UK and Ireland, which is a combination of the response of the ground conductivity in a region with the spatial and temporal measurements of the rate of change of the horizontal components of the magnetic field. Output from the BGS Space Weather Impact on Ground-based Systems (SWIGS)

This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a two-band, 8-bit integer raster. Band 1 is the UKCEH Land Cover Class identifier, band 2 is an indicator of classification confidence. For a fuller description please refer to the product documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are one in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

Raster (TIFF) file showing the simplified main bedrock geology units that comprise a ~45,000 km2 region of central-eastern Nepal.

This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one band per target habitat class (producing a 21 band image). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

A PDF map showing the middle layer super output areas in the North East Region of England as at December 2011. (File Size - 14 MB)