This national dataset brings together sixteen national datasets to create a GIS product that provides the information necessary to determine the extent to which the ground is suitable for infiltration sustainable drainage systems (SuDS). It includes derivations of the following datasets: soluble rocks, landslide hazards, groundwater flooding susceptibility, made ground, shallow mining hazards, geological indicators of flooding, depth to water table, superficial thickness, compressible ground, collapsible ground, swelling clays, running sands, predominant flow mechanism, permeability indices and the Environment Agencys source protection zone dataset. All datasets have been reclassified and reattributed (with text descriptions and a score field indicating the suitability of the ground for infiltration) and feature in the end product both as single entities, but also in derived 'screening' maps that combine numerous datasets.

This dataset consists of an interactive map (and supporting guidance) containing background information that informs how we understand flood risk across the South West River Basin District. The map shows the River Basin District, component river basins and the coastline together with layers showing land use and topography.

This dataset together with equivalent datasets for each River Basin District, supports the Preliminary Flood Risk Assessment for England report which has been written to meet the requirements of the Flood Risk Regulations (2009) - to complete an assessment of flood risk and produce supporting maps of river catchments.

This dataset consists of an interactive map (and supporting guidance) containing background information that informs how we understand flood risk across the Solway Tweed River Basin District. The map shows the River Basin District, component river basins and the coastline together with layers showing land use and topography.

This dataset together with equivalent datasets for each River Basin District, supports the Preliminary Flood Risk Assessment for England report which has been written to meet the requirements of the Flood Risk Regulations (2009) - to complete an assessment of flood risk and produce supporting maps of river catchments.

This dataset consists of an interactive map (and supporting guidance) containing background information that informs how we understand flood risk across the Thames River Basin District. The map shows the River Basin District, component river basins and the coastline together with layers showing land use and topography.

This dataset together with equivalent datasets for each River Basin District, supports the Preliminary Flood Risk Assessment for England report which has been written to meet the requirements of the Flood Risk Regulations (2009) - to complete an assessment of flood risk and produce supporting maps of river catchments. Attribution statement: Open Government Licence

© Environment Agency copyright and/or database right 2018. All rights reserved. © Crown copyright and database rights 2018 Ordnance Survey 100024198 © Bluesky International Ltd/Getmapping PLC. Some features of this map are based on digital spatial data from the Centre for Ecology & Hydrology, British Antarctic Survey and British Geological Survey. © NERC (Centre for Ecology & Hydrology; British Antarctic Survey; British Geological Survey).
Contains public sector information licensed under the Open Government Licence v3.0.

This dataset consists of an interactive map (and supporting guidance) containing background information that informs how we understand flood risk across the Dee River Basin District. The map shows the River Basin District, component river basins and the coastline together with layers showing land use and topography.

This dataset together with equivalent datasets for each River Basin District, supports the Preliminary Flood Risk Assessment for England report which has been written to meet the requirements of the Flood Risk Regulations (2009) - to complete an assessment of flood risk and produce supporting maps of river catchments.

Terrain (DTM) & Surface (DSM) elevation models of river basins derived from airborne LIDAR survey systems. A Digital Terrain Model (DTM) is a digital file consisting of a grid of regularly spaced points of known height which, when used with other digital data such as maps or orthophotographs, can provide a 3D image of the land surface. This data is typically provided in tiles of 1km x 1km, each containing elevations in a 1m x 1m grid. Tiles are grouped and can be downloaded by area as shown on the index ‘River Basin LIDAR-Coverage Map’. Data acquired in 2009 & 2010 also contains Point Cloud files, a closely spaced (0.2m) irregular grid of elevations from which the 1m x1m grids were derived. By download or use of this dataset you agree to abide by the Open Government Data Licence. This data is not a supported LPS product, supporting documentation has been provided to assist / offer guidance on the data itself.

The dataset is the lake polygons from the UK Lakes Portal (https://eip.ceh.ac.uk/apps/lakes/), originally based on OS PANORAMA but this dataset includes data from a number of sources. It has a basic set of attributes including the water body ID (WBID) as well as the computed area and perimeter of each lake. The WBID is commonly used across research institutions and is the same ID as used on the UK Lakes Portal, where more information can be found on each lake in this dataset. This is v3.6, which follows the same versioning as the underlying database. Although the database has seen the majority of the changes since version 1, the polygons have also been changed and improved over that time, mostly fixing issues with lake outlines, but also some new sites being added.

Dataset contains the Land Use/Land Cover (LULC) map under four scenarios (Trend, Expansion, Sustainability, and Conservation) in 2030 in the Luanhe River Basin (LRB), China, with a resolution of 1km. The scenarios were based on different socio-economic development and environmental protection targets, local plans and policies, and the information from a stakeholders’ workshop, to explore land system evolution trajectories of the LRB and major challenges that the river basin may face in the future. The map includes nine different land use classes: 1) Extensive cropland, 2) Medium intensive cropland, 3) Intensive cropland, 4) Forest, 5) Grassland with low livestock, 6) Grassland with high livestock, 7) Water, 8) Built-up area and 9) Unused land. The land system classification is based on three main classification factors: (1) land use and cover, (2) livestock, and (3) agricultural intensity. The data was funded by UK Research and Innovation (UKRI) through the Natural Environment Research Council’s (NERC) Towards a Sustainable Earth (TaSE) programme, for the project "River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scales" (Grant no. NE/S012427/1) . Full details about this dataset can be found at https://doi.org/10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952

This dataset consists of an interactive map (and supporting guidance) containing background information that informs how we understand flood risk across the Anglian River Basin District. The map shows the River Basin District, component river basins and the coastline together with layers showing land use and topography.

This dataset together with equivalent datasets for each River Basin District, supports the Preliminary Flood Risk Assessment for England report which has been written to meet the requirements of the Flood Risk Regulations (2009) - to complete an assessment of flood risk and produce supporting maps of river catchments.

This data set contains UK-wide maps of ten different among-model ensemble approaches for two services: above ground Carbon stock and water supply. The data for Carbon comes as fourteen TIF maps for above ground carbon storage at a 1-km2 resolution with associated world files: ten approaches, with a double option for two of those, together with maps of variation among models and among ensembles. For water, the data comes as one shapefile with polygons per watershed, each polygon containing these fourteen estimates. For all maps, 600dpi jpg depictions are added to the supporting information. Directory location independent layer files are included to aid scaling and providing the colour palettes. Ensemble output maps were calculated with different approaches following the supporting documentation and associated publication. Uncertainty estimates for these services are included as variation among contributing model outputs and among the employed ensemble approaches. The work was completed under the ‘EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models’ project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme. Full details about this dataset can be found at https://doi.org/10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38

Dan is-sett tad-data nazzjonali jiġbor flimkien sittax-il sett tad-data nazzjonali biex jinħoloq prodott tal-GIS li jipprovdi l-informazzjoni meħtieġa biex jiġi ddeterminat sa liema punt l-art hija xierqa għall-infiltrazzjoni ta’ sistemi ta’ drenaġġ sostenibbli (SuDS). Dan jinkludi d-derivazzjonijiet tas-settijiet tad-data li ġejjin: blat solubbli, perikli ta’ uqigħ tal-art, suxxettibbiltà għall-għargħar tal-ilma ta’ taħt l-art, art maħduma, perikli ta’ estrazzjoni minerarja baxxa, indikaturi ġeoloġiċi tal-għargħar, fond għall-ilma ta’ taħt l-art, ħxuna superfiċjali, art kompressibbli, art li tista’ tinqala’, tafal li jintefaħ, ramel ġieri, mekkaniżmu ta’ fluss predominanti, indiċijiet tal-permeabbiltà u s-sett ta’ data taż-żona ta’ protezzjoni tas-sors tal-Aġenzija tal-Ambjent. Is-settijiet tad-data kollha ġew ikklassifikati mill-ġdid u attribwiti mill-ġdid (b’deskrizzjonijiet tat-test u qasam tal-punteġġ li jindika l-adegwatezza tar-raġuni għall-infiltrazzjoni) u jidhru fil-prodott finali kemm bħala entitajiet uniċi, kif ukoll f’mapep derivati ta’ “skrinjar” li jikkombinaw bosta settijiet tad-data.

This dataset contains monthly maps of dry and wet snow for a Himalayan river basin in northern India. The data were collected as part of the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project aimed at improving our understanding on how water is stored in, and moves through, a Himalayan river system in northern India. The maps were obtained by combining satellite remote sensing images from Sentinel-1 and the Moderate Resolution Imaging Spectroradiometer (MODIS). The resolution of the maps is 500m and the coordinate system is EPSG:4326. The dry snow data correspond to the MODIS land cover product (MCD12Q1). The wet snow data were obtained from Sentinel-1 by applying a -2dB threshold on the backscatter ratio between a Sentinel-1 image with wet snow and a reference Sentinel-1 image with only dry snow. The possible pixel values are: 0: no snow, 1-100: wet snow cover fraction, 101-200: dry snow cover fraction with an offset of 100, 240: missing Sentinel-1 data, 250: pixel wrongly identified as wet snow by Sentinel-1 (false positives), 255: fill value. The images are GeoTIFF formatted.

This data set contains Global maps of five ecosystem services using 6 different among-model ensemble approaches: the provisioning services of water supply, biomass for fuelwood and forage production, the regulating service Carbon Storage for CO2 retention and the cultural non-material service Recreation. For water, the data comes as one shapefile with polygons per watershed, each polygon containing seven ensemble estimates. The other services – recreation, carbon storage, biomass for fuelwood and forage production – come as seven tiff- maps at a 1-km2 resolution with associated world files for each tiff-map contains 43,200 x 18,600 pixels for one ensemble approach, with LZW compressed file sizes between 400MB and 950MB. For all maps, 600dpi jpg depictions are added to the supporting information with uniform colour scaling set for the median ensemble per service. Ensemble output maps were calculated with different approaches following the supporting documentation and associated publication. Uncertainty estimates for these services are included as variation among contributing model outputs and among the employed ensemble approaches. The work was completed under the ‘EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models’ project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme, with additional funding from ES/R009279/1 (MobilES) & ES/T007877/1 (RUST).

The dataset describes the data needed for and results produced by the flood risk assessment framework under different development strategies of Luanhe river basin under a changing climate. The Luanhe river basin is located in the northeast of the North China Plain (115°30' E-119°45' E, 39°10' N-42°40'N) of China, is an essential socio-economic zone on its own in North-Eastern China, and also directly contributes to and influences the socio-economic development of the Beijing-Tianjin-Hebei region. The dataset here used for investigating the flood risk includes: (1) uplifts of future climate scenarios to 2030 (2) the validation results of a historical event that happened in 2012 (3) the flood inundation prediction under different development strategies and climate scenarios to 2030 (4) and the spatial resident density map in Luanhe river basin to 2030. Wherein, the uplifts of the future climate change is generated based on the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset and will be applied to the future design rainfall to represent the future climate scenarios; a 2012 event is select to validate the flood model, and the remote sensing data is adopted as real-world observation data; considering the uplifts and future land use data as input, the validated flood model is applied to produce flood inundation prediction under different development strategies and climate scenarios to 2030; and the inundation results are used to overlay the Gridded Population of the World, Version 4 (GPWv4) and then calculate the flood risk map of the local resident. These data are mainly open data or produced by authors. With all these data, the flood risk of the Luanhe river basin in the near future (2030) can be assessed.

Statutory Main Rivers Map is a spatial (polyline) dataset that defines statutory watercourses in England designated as Main Rivers by the Environment Agency.

Watercourses designated as ‘main river’ are generally the larger arterial watercourses. The Environment Agency has permissive powers, but not a duty, to carry out maintenance, improvement or construction work on designated main rivers.

All other open water courses in England are determined by statute as an ‘ordinary watercourse’. On these watercourses the Lead Local flood Authority or, if within an Internal Drainage District, the Internal Drainage Board have similar permissive powers to maintain and improve.

This dataset contains the input data and settings needed to run a Community Water Model (CWatM) of the Ebro River basin in Spain. The input data include: an elevation model of the catchment, flow direction map, river routing, lakes and reservoirs, soils, groundwater, land cover, crop coefficients population and GDP, and water demands for irrigation, livestock, industry, and domestic sectors. CWatM is a distributed hydrological model simulating the water cycle at global and local levels maintained by IIASA BNR Water Security group. The model was used to assess water supply and demand, and environmental needs, including water management and human influence within the water cycle in the Ebro River basin.