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2017

73 record(s)
 
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    This data set contains land cover/land use data for the year 1990 and 2015 obtained through processing of Landsat images of US Geological Survey. These data sets were obtained through a supervised classification carried out with Landsat 8 image for 2015; Landsat 4 and 5 were used for land use classification of 1990. Gro for GooD: Groundwater Risk Management for Growth and Development

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    The data set contains Soil Data used in the Gro for GooD Project in Kwale, Kenya based on KENSOTER database and soil survey in study area. The KENSOTER dataset, specific for Kenya, was compiled by the Kenya Soil Survey (KSS) and ISRIC and released in 2006 where ISRIC plays a lead role in methodology development and programme implementation (http://www.isric.org/projects/soil-and-terrain-soter-database-programme). The dataset includes over 600 soil components, including synthetic profiles, which have been derived from soil survey reports and expert knowledge. The second version of the dataset which has been made available includes additional soil profile database and is also used for the assessment of soil carbon stocks. The gaps in the measured soil profile data have been filled using a step-wise procedure which includes three main stages: (1) collate additional measured soil analytical data where available; (2) fill gaps using expert knowledge and common sense; (3) fill the remaining gaps using a scheme of taxotransfer rules. Parameter estimates are presented by soil unit for fixed depth intervals of 0.2 m to 1 m depth for: organic carbon, total nitrogen, pH(H2O), CECsoil, CECclay, base saturation, effective CEC, aluminium saturation, CaCO3 content, gypsum content, exchangeable sodium percentage (ESP), electrical conductivity of saturated paste (ECe), bulk density, content of sand, silt and clay, content of coarse fragments, and available water capacity. The data have recently been used for the Green Water Credit (GWC) programme in the Upper Tana River Valley. This dataset was prepared for the Gro for GooD project by Mike Thomas, Rural Focus Ltd., Kenya; John Gathenya, JKUAT, Kenya. Gro for GooD: Groundwater Risk Management for Growth and Development

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    Shrink-swell is recognised as the most significant geohazard across Great Britain. This dataset identifies areas of shrink-swell hazard with increased potential due to changing climatic conditions based on forecasts derived from the UKCP09 research project. The dataset has been created at two levels of detail for different climatic scenarios and dates up to 2080. The Basic dataset is an overview at 2Km grid resolution whilst the more detailed Premium dataset is generated at a 50m resolution. The Open versions are simplified versions of the premium versions and are shared via GeoIndex. The premium versions are paid for products. UKCP09 - UK Climate Projections 2009 project

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    The Environment Agency has updated its groundwater vulnerability map to reflect improvements in data mapping, modelling capability and understanding of the factors affecting vulnerability. Two new maps are available which show the vulnerability of groundwater to a pollutant discharged at ground level. The potential impact of groundwater pollution is considered using the aquifer designation status which provides an indication of the scale and importance of groundwater for potable water supply and/or in supporting baseflow to rivers, lakes and wetlands. This dataset has shared IP (Intellectual Property) between Environment Agency and British Geological Survey. It supersedes the previous Groundwater Vulnerability 100k data released by EA.

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    The Environment Agency and Natural Resources Wales have updated its groundwater vulnerability map to reflect improvements in data mapping, modelling capability and understanding of the factors affecting vulnerability. Two new maps are available which show the vulnerability of groundwater to a pollutant discharged at ground level. The potential impact of groundwater pollution is considered using the aquifer designation status which provides an indication of the scale and importance of groundwater for potable water supply and/or in supporting baseflow to rivers, lakes and wetlands. This dataset for Wales has shared intellectual property (IP) between Natural Resources Wales and British Geological Survey.

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    The Lexicon of Named Rock Units provides definitions of lithostratigraphic, lithodemic, and litho-morpho-genetic geological units of the United Kingdom and its associated continental shelf. The Lexicon focuses mainly on units of Member, Formation, Group and higher rank (and equivalents) but it also includes information on some units of lesser rank, notably economically important coal seams and laterally extensive marine bands. It includes superficial and bedrock units. It includes synonyms and other names not currently recognised by the BGS or regarded as obsolete. Full Lexicon entries include geological unit name, a persistent unique identifier, map code, currency, rank, parent unit and rank, age, lithology, definitions of boundaries, thickness, previous and alternative names, geographical extent, type localities, and bibliographical references. This dataset is a snapshot of the live database taken on the 14th September 2017.

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    The 5km Hex GS Collapsible Deposits dataset shows a generalised view of the GeoSure Collapsible Deposits v7 dataset to a hexagonal grid resolution of 64.95km coverage area (side length of 5km). This dataset indicates areas of potential ground movement in a helpful and user-friendly format. The rating is based on a highest level of susceptibility identified within that Hex area: Low (1), Moderate (2), Significant (3). Areas of localised significant rating are also indicated. The summarising process via spatial statistics at this scale may lead to under or over estimation of the extent of a hazard. The supporting GeoSure reports can help inform planning decisions and indicate causes of subsidence. The reports can help inform planning decisions and indicate causes of subsidence. The Collapsible Ground dataset provides an assessment of the potential for a geological deposit to collapse (to subside rapidly) as a consequence of a metastable microfabric in loessic material. Such metastable material is prone to collapse when it is loaded (as by construction of a building, for example) and then saturated by water (as by rising groundwater, for example). Collapse may cause damage to overlying property. The methodology is based on the BGS Digital Map (DiGMapGB-50) and expert knowledge of the origin and behaviour of the formations so defined. It provides complete coverage of Great Britain, subject to revision in line with changes in DiGMapGB lithology codes and methodological improvements.

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    The 1km Hex Mining Hazard (Not Including Coal) v7 dataset shows areas of known underground mining (Not Including Coal), identified with an indication of the level of hazard associated for each site. The presence of former underground workings, particularly where shallow, may collapse and cause surface settlement which is used to identify potential hazard at each site. The rating is based on a Low (limited mining known to have occurred) to High (underground mining is known to have occurred) scale. The dataset covers areas of known underground working in Great Britain. The coverage is not comprehensive as areas with no evidence of underground working are unclassified. Underground extraction of minerals and rocks has taken place in Great Britain for more than 5000 years. This dataset draws together a range of diverse information; the geology, the primary constraint on distribution; additional information sourced from published literature and knowledge from BGS experts. Derived from the original MiningHazardNotIncludingCoalGB_v7 dataset, this layer generalises these data into a Hex grid format, with an effective hexagonal grid resolution of 2.6km coverage area (side length of 1km). The dataset was created to provide a comprehensive overview of Great Britain's long and complicated mining legacy. It provides essential information for planners and developers working in areas where former underground mine workings may have occurred. Also for anyone involved in the ownership or management of property, including developers, householders and local government.

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    The 5km Hex GS Landslides dataset shows a generalised view of the GeoSure Landslides v7 dataset to a hexagonal grid resolution of 64.95km coverage area (side length of 5km). This dataset indicates areas of potential ground movement in a helpful and user-friendly format. The rating is based on a highest level of susceptibility identified within that Hex area: Low (1), Moderate (2), Significant (3). Areas of localised significant rating are also indicated. The summarising process via spatial statistics at this scale may lead to under or over estimation of the extent of a hazard. The supporting GeoSure reports can help inform planning decisions and indicate causes of subsidence. The methodology is based on the BGS Digital Map (DiGMapGB-50) and expert knowledge of the behaviour of the formations so defined. This dataset provides an assessment of slope instability. Landslide hazard occurs due to particular slope characteristics (such as geology, gradient, sources of water, drainage, man-made constructions) combining to cause the slope to become unstable. Downslope movement of materials, such as a landslide or rockfall may lead to a loss of support and damage to buildings. Complete Great Britain national coverage is available.

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    The data are the gridded recharge values obtained from the BGS distributed recharge model (ZOODRM) driven by 11 Ensembles of the HaDCM3 Regional Climate Model (RCM) taken from the Future Flow and Groundwater Level data set (http://www.ceh.ac.uk/our-science/projects/future-flows-and-groundwater-levels). The model covers the mainland areas of England, Scotland and Wales. The 11 ensembles are run from January 1950 to December 2099. The dataset themselves are the gridded (2 km by 2 km) outputs from the recharge model averaged over four time horizons: historical, 20s, 50s, and 80s, for each of the 11 ensembles. The results can be used to assess the impact of climate change on potential recharge (soil drainage) for catchments in mainland England, Scotland and Wales.