{"numFound":157,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FLand+cover%2F&facet=topic%7C0%2FMapping%2F&facet=recordType%7CDataset","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=topic%7C0%2FLand+cover%2F&facet=topic%7C0%2FMapping%2F&facet=recordType%7CDataset","results":[{"publicationDate":"2020-06-22T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["D.","C.G.","A.W.","C.S."],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived from the corresponding LCM2017 20m classified pixels dataset.  All further LCM2017 datasets for Northern Ireland are derived from this land parcel product.  A range of land parcel attributes are provided.  These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation.\n\nLCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019.  These are the latest 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.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"efb98222-5b9a-4d56-990d-5ab85eaf187e","incomingCitationCount":1,"givenName":["Dan","D.","C.G.","A.W.","C.S."],"familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"keyword":["Northern Ireland","Land cover","Mapping","LCM2017","vector","UK-SCAPE"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"keywordsOther":["LCM2017","vector","UK-SCAPE"],"licence":"Non-Open government licence","lineage":"The Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabase. SpatiaLite is an open standard file format for geospatial vector databases and SpatiaLite files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/efb98222-5b9a-4d56-990d-5ab85eaf187e","10.5285/efb98222-5b9a-4d56-990d-5ab85eaf187e"],"resourceStatus":"Controlled","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2017 (land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats...."},{"publicationDate":"2020-06-22T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2017 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators  of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"8b37b063-b5fe-42cc-ab2d-bf96626da036","incomingCitationCount":0,"givenName":["Dan","R.D.","C.G.","A.W.","C.S."],"familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, D.","Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"keyword":["Land cover","Land use","UK-SCAPE"],"keywordsTheme":["Land cover","Land use"],"keywordsOther":["UK-SCAPE"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b37b063-b5fe-42cc-ab2d-bf96626da036","10.5285/8b37b063-b5fe-42cc-ab2d-bf96626da036"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2017 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats...."},{"publicationDate":"2021-10-08T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is a 10-metre pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. \n\nThe pixel product is given as a two-band raster in geoTiff format. The first band gives the most likely land cover type; the second band gives the probability associated with this land cover. The probability layer is an indicator of uncertainty (0 to 100). Low values correspond to low certainty (higher uncertainty). \n\nThis is the first 10m resolution land cover map produced by UKCEH. It succeeds 20m resolution classified pixel products from 2017, 2018 and 2019.\n\nA full description of this and all UKCEH LCM2020 products are available from the product documentation accompanying this data.","documentType":"GEMINI_DOCUMENT","identifier":"35c7d0e5-1121-4381-9940-75f7673c98f7","incomingCitationCount":3,"givenName":["Dan","R.D.","C.G.","A.W.","C.S."],"familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, D.","Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"keyword":["Great Britain","Land cover","Mapping","Biodiversity Action Plan","habitat","land cover"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"keywordsOther":["Biodiversity Action Plan","habitat","land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover classification algorithms generated the 10m classified pixels. Training data were automatically selected from stable land covers over the interval of 2017 to 2019. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.\n\nLand cover was validated by organising the pixel classification into a land parcel framework (the LCM2020 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nPrior to 2017 classified pixels are not available as part of the UKCEH LCM product suite. The classified pixels represent the core dataset from which the remaining products in the LCM2020 suite are derived. These include LCM2020 classified land parcels and the LCM2020 25m rasterised land parcels product.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/35c7d0e5-1121-4381-9940-75f7673c98f7","10.5285/35c7d0e5-1121-4381-9940-75f7673c98f7"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2020 (10m classified pixels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","crimar"],"shortenedDescription":"This is a 10-metre pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. \n\nThe pixel product is given as a two-band raster in geoTiff format. The first band gives the most likely..."},{"publicationDate":"2024-01-16T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.K.","R.","M.","N.","L.R.","D.W.","J.","J.W.","J.T.","C.M.","R.F."],"authorFamilyName":["Broughton","Burkmar","McCracken","Mitschunas","Norton","Pallett","Patton","Redhead","Staley","Wood","Pywell"],"authorFullName":["Broughton, R.K.","Burkmar, R.","McCracken, M.","Mitschunas, N.","Norton, L.R.","Pallett, D.W.","Patton, J.","Redhead, J.W.","Staley, J.T.","Wood, C.M.","Pywell, R.F."],"authorOrcid":["https://orcid.org/0000-0002-6838-9628","https://orcid.org/0000-0002-8298-8838","https://orcid.org/0000-0002-1622-0281","https://orcid.org/0000-0002-3981-6547","https://orcid.org/0009-0002-2534-8938","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0001-6467-3712","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains a model of the extent and height class of woody linear features on field boundaries in England, including hedgerows, tree lines and semi-natural thickets of shrubs and trees. The model was derived from processing of the Environment Agency lidar product (National Lidar Programme), captured in 2016-2021, and the linework is consistent with the polygon boundaries used in the UK Centre for Ecology & Hydrology (UKCEH) Land Cover Map (LCM).  \n\nDue to expected low densities of woody linear features, and potential uncertainty, areas excluded from the coverage include LCM classes of mountain/moor/heath, open water and the coastal zone, urban/suburban areas and woodlands (i.e., areas of continuous non-linear woody cover).  An area of approximately 24 x 25 km on the North Yorkshire Moors was also excluded from the model, as this area was not mapped by the EA lidar.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N018125/1","NE/W005050/1"],"identifier":"d90a3733-2949-4dfa-8ac2-a88aef8699be","incomingCitationCount":1,"givenName":["Richard","R.K.","R.","M.","N.","L.R.","D.W.","J.","J.W.","J.T.","C.M.","R.F."],"familyName":["Broughton","Burkmar","McCracken","Mitschunas","Norton","Pallett","Patton","Redhead","Staley","Wood","Pywell"],"fullName":["Broughton, R.","Broughton, R.K.","Burkmar, R.","McCracken, M.","Mitschunas, N.","Norton, L.R.","Pallett, D.W.","Patton, J.","Redhead, J.W.","Staley, J.T.","Wood, C.M.","Pywell, R.F."],"keyword":["England","Land cover","tree lines","non-woodland trees","woody linear features","field boundaries","JASMIN","lidar","hedge","tree","shrub","LCM+"],"keywordsPlace":["England"],"keywordsTheme":["Land cover"],"keywordsOther":["tree lines","non-woodland trees","woody linear features","field boundaries","JASMIN","lidar","hedge","tree","shrub","LCM+"],"licence":"Non-Open government licence","lineage":"This model was produced by collating Environment Agency airborne lidar data, Land Cover Map (LCM) linear data, and Ordnance Survey (OS) data. The lidar data were filtered and pixels were removed based on their attributes and coincidence with OS data (masking). Vectorized output was used to classify a linear framework of the LCM, creating a classified polyline model of linear features. \n\nThe model was validated by ‘ground-truthing’ against 38 test squares of 1 km^2 each, which were surveyed on the ground by trained fieldworkers in 2022 using Countryside Survey methods. The results showed good agreement between the lidar model and the ground-truthing, allowing for a spatial buffer tolerance around features to account for the different linear frameworks they were based upon. At the summary scale across all test squares, the total woody feature lengths showed a 96% agreement. At the scale of individual test squares, there was an average 76% agreement of woody feature lengths within a 20 m buffer tolerance. Height classifications of the model showed an exact agreement for 32% of the total feature length, and 63% agreement within a tolerance of one class above or below.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"orcid":["https://orcid.org/0000-0002-6838-9628","https://orcid.org/0000-0002-8298-8838","https://orcid.org/0000-0002-1622-0281","https://orcid.org/0000-0002-3981-6547","https://orcid.org/0009-0002-2534-8938","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0001-6467-3712","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d90a3733-2949-4dfa-8ac2-a88aef8699be","10.5285/d90a3733-2949-4dfa-8ac2-a88aef8699be"],"resourceStatus":"Controlled","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"UKCEH Land Cover Plus: Hedgerows 2016-2021 (England)","topic":["0/Land cover/"],"version":1.0,"view":["public","jenroe"],"shortenedDescription":"This dataset contains a model of the extent and height class of woody linear features on field boundaries in England, including hedgerows, tree lines and semi-natural thickets of shrubs and trees. The model was derived from processing of the Environment Agency lidar..."},{"publicationDate":"2024-05-17T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["C.G.","R.D.","A.W.","C.S."],"authorFamilyName":["Marston","Morton","O'Neil","Rowland"],"authorFullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is a 25m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty.  A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"59a1555f-1c51-4724-97b5-c61a7bef353d","incomingCitationCount":0,"givenName":["C.G.","R.D.","A.W.","C.S."],"familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"keyword":["Northern Ireland","Land cover","Map","Habitat","Biodiversity Action Plan"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"keywordsOther":["Map","Habitat","Biodiversity Action Plan"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2019 to 2021. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2022 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/59a1555f-1c51-4724-97b5-c61a7bef353d","10.5285/59a1555f-1c51-4724-97b5-c61a7bef353d"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2022 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"This is a 25m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of..."},{"publicationDate":"2023-07-28T00:00:00.000+00:00","authorAffiliation":["University of Exeter","AECOM"],"authorGivenName":["C.","J.N."],"authorFamilyName":["Abancó","Jones"],"authorFullName":["Abancó, C.","Jones, J.N."],"authorOrcid":["https://orcid.org/0000-0002-2169-5409","https://orcid.org/0000-0002-8992-1572"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/030p6ep86"],"catalogue":"eidc","description":"This dataset contains the areas affected by landslides triggered by Typhoon Mangkhut in the area of Itogon (Benguet, Philippines) between the 13th and 15th of September 2018. The polygons were mapped using very high-resolution satellite imagery from before and after the typhoon. The pre-typhoon images were captured on 18/02/2018 and the post-typhoon images were captured on 02/03/2019 using the World-View 2 satellite. Google Earth imagery was also used as a supplementary source. The study area covers 570 km2.","documentType":"GEMINI_DOCUMENT","identifier":"32765a61-8510-4dfc-b7c7-58bad12f8497","incomingCitationCount":0,"givenName":["C.","J.N."],"familyName":["Abancó","Jones"],"fullName":["Abancó, C.","Jones, J.N."],"keyword":["Philippines","Itogon","Mapping","Environmental risk","debris flow","Typhoon Mangkhut","hazard","typhoon","landslide"],"keywordsPlace":["Philippines","Itogon"],"keywordsTheme":["Mapping","Environmental risk"],"keywordsOther":["Itogon","debris flow","Typhoon Mangkhut","hazard","typhoon","landslide"],"licence":"Open government licence","lineage":"The polygons of the landslides were mapped by a member of team. The technique to map them was visual observation of evidences of change before and after the typhoon, that would correspond to the appearance of a landslide. The inventory was checked by a different person afterwards.","locations":["POLYGON((120.566 16.328, 120.566 16.529, 120.798 16.529, 120.798 16.328, 120.566 16.328))"],"orcid":["https://orcid.org/0000-0002-2169-5409","https://orcid.org/0000-0002-8992-1572"],"organisation":["University of Exeter","AECOM","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/32765a61-8510-4dfc-b7c7-58bad12f8497","10.5285/32765a61-8510-4dfc-b7c7-58bad12f8497"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/030p6ep86","https://ror.org/04xw4m193"],"state":"published","title":"Areas affected by landslides following Typhoon Mangkhut in Itogon, Philippines, September 2018","topic":["0/Mapping/","0/Environmental risk/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset contains the areas affected by landslides triggered by Typhoon Mangkhut in the area of Itogon (Benguet, Philippines) between the 13th and 15th of September 2018. The polygons were mapped using very high-resolution satellite imagery from before and after..."},{"publicationDate":"2010-07-13T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of Leicester"],"authorGivenName":["C.","F.","H."],"authorFamilyName":["George","Gerard","Balzter"],"authorFullName":["George, C.","Gerard, F.","Balzter, H."],"authorOrcid":["https://orcid.org/0000-0001-6318-2196","https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04h699437"],"catalogue":"eidc","description":"Burnt areas are presented with a daily date of burn at 500m resolution for the circumpolar boreal forest zone.  The dataset comprises eleven tiff files, one for each year: 2001 to 2011.\n\nThe aim of this dataset is the improved understanding of spatio-temporal patterns and dynamics of boreal fire intensity and extent, the driving factors behind these variations, and the consequence for carbon fluxes for the whole boreal area. \n\nThe source data for the daily burnt area product is the 16-day MODIS Nadir BRDF-Adjusted Reflectance (N-BAR) MCD43A4 product on the standard Sinusoidal projection. The burnt areas are identified by thresholding a differencing method, with the resulting fire-scars dated using MODIS thermal anomalies (MOD14A1). The results are annual TIFF images at 500m resolution with the pixel values being the first day of burn for that year. The product was validated using temporal assemblages of ETM images randomly located throughout the whole Boreal zone and analysed on a date and per pixel basis. The result was a Kappa co-efficient of 0.54. This algorithms used to map the burnt areas were developed by members of the CEH Wallingford Earth Observation group. ","documentType":"GEMINI_DOCUMENT","identifier":"0e2f1043-a08f-49da-a6c5-7ffc4ad6cac4","incomingCitationCount":0,"givenName":["Charles","C.","F.","H."],"familyName":["George","Gerard","Balzter"],"fullName":["George, C.","Gerard, F.","Balzter, H."],"keyword":["Russia","Siberia","Canada","Alaska","Land cover","Climate and climate change","Natural resource management","earth observation","forest","fire","remote sensing","climate change"],"keywordsPlace":["Russia","Siberia","Canada","Alaska"],"keywordsTheme":["Land cover","Climate and climate change"],"keywordsOther":["Natural resource management","earth observation","forest","fire","remote sensing","climate change"],"licence":"Non-Open government licence","lineage":"The source data for the daily burnt area product is the 16-day MODIS Nadir BRDF-Adjusted Reflectance (N-BAR) MCD43A4 product on the standard Sinusoidal projection. The burnt areas are identified by thresholding a differencing method, with the resulting fire-scars dated using MODIS thermal anomalies (MOD14A1). The results are annual TIFF images at 500m resolution with the pixel values being the first day of burn for that year. The product was validated using temporal assemblages of ETM images randomly located throughout the whole Boreal zone and analysed on a date and per pixel basis. The result was a Kappa co-efficient of 0.54.","locations":["POLYGON((-180 40, -180 80, 180 80, 180 40, -180 40))"],"orcid":["https://orcid.org/0000-0001-6318-2196","https://orcid.org/0000-0001-5916-5174"],"organisation":["Natural Environment Research Council","UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Leicester","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1279019062156","https://catalogue.ceh.ac.uk/id/0e2f1043-a08f-49da-a6c5-7ffc4ad6cac4","10.5285/0e2f1043-a08f-49da-a6c5-7ffc4ad6cac4"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/02b5d8509","https://ror.org/00pggkr55","https://ror.org/04h699437","https://ror.org/04xw4m193"],"state":"published","title":"Circumpolar boreal forest burnt area","topic":["0/Land cover/","0/Climate and climate change/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"Burnt areas are presented with a daily date of burn at 500m resolution for the circumpolar boreal forest zone.  The dataset comprises eleven tiff files, one for each year: 2001 to 2011.\n\nThe aim of this dataset is the improved understanding of spatio-temporal patterns..."},{"publicationDate":"1968-01-01T00:00:00.000+00:00","authorAffiliation":["The Nature Conservancy"],"authorGivenName":["A.","D.","M."],"authorFamilyName":["Eddy","Welch","Rawes"],"authorFullName":["Eddy, A.","Welch, D.","Rawes, M."],"authorRor":["https://ror.org/00gcd8h55"],"catalogue":"eidc","description":"This is a spatial dataset containing polygons representing areas of vegetation mapped within the Moor House National Nature Reserve in the northern Pennines, England. The map was created by staff of The Nature Conservancy in the 1960s.","documentType":"GEMINI_DOCUMENT","identifier":"bb703113-3428-483c-858a-2a85cafd9821","incomingCitationCount":0,"givenName":["A.","D.","M.","Claire"],"familyName":["Eddy","Welch","Rawes","Wood"],"fullName":["Eddy, A.","Welch, D.","Rawes, M.","Wood, C."],"keyword":["England","Pennines","Moor House","Biodiversity","Mapping","Sphagnum recurvum","Polytrichum commune ","Juncus effusus","Nardus stricta","Trichophorum cespitosum","Eriophorum vaginatum","Calluna vulgaris","Juncus squarrosus","Agrostis spp.","Festuca spp.","Sphagnum spp."],"keywordsPlace":["England","Pennines","Moor House"],"keywordsTheme":["Biodiversity","Mapping"],"keywordsOther":["Sphagnum recurvum","Polytrichum commune ","Juncus effusus","Nardus stricta","Trichophorum cespitosum","Eriophorum vaginatum","Calluna vulgaris","Juncus squarrosus","Agrostis spp.","Festuca spp.","Sphagnum spp."],"licence":"Open government licence","lineage":"This map was created by Eddy, A., Welch, D., & Rawes, M. in the early 1960s at the Nature Conservancy's Moor House Field Station (a forerunner of the Centre for Ecology & Hydrology). Note that the reserve has been extended to Upper Teesdale, however this map covers the Moor House area only. The original field survey was mapped on to a base map on the scale of 6 inches to the mile (1:10560). The paper map was digitised by the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology) in the 1990s. See online Supporting Information for further details.","locations":["POLYGON((-2.530 54.59, -2.530 54.71, -2.3 54.71, -2.3 54.59, -2.530 54.59))"],"organisation":["The Nature Conservancy","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["1392911352060","https://catalogue.ceh.ac.uk/id/bb703113-3428-483c-858a-2a85cafd9821","10.5285/bb703113-3428-483c-858a-2a85cafd9821"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00gcd8h55","https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","supplementalDescription":["Eddy, A., Welch, D., & Rawes, M. (1968). The vegetation of the Moor House National Nature Reserve in the northern Pennines, England. Plant Ecology (Vegetation), 16(5), 239-284"],"title":"Vegetation map of the Moor House National Nature Reserve ","topic":["0/Biodiversity/","0/Mapping/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"This is a spatial dataset containing polygons representing areas of vegetation mapped within the Moor House National Nature Reserve in the northern Pennines, England. The map was created by staff of The Nature Conservancy in the 1960s."},{"publicationDate":"2002-01-01T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F."],"authorFamilyName":["Fuller","Smith","Sanderson ","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson , J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorOrcid":["https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of the vector version of the Land Cover Map 2000 for Northern Ireland, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26 LCM2000 target or ('sub') classes. This is the most widely used version of the dataset. Level 3 gives higher class detail. However, the quality of this level of detail may vary in different areas of the country, requiring expert interpretation. The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","identifier":"9f043047-d1c7-4852-b513-aa00204022a8","incomingCitationCount":0,"givenName":["Claire","R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F."],"familyName":["Wood","Fuller","Smith","Sanderson ","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"fullName":["Wood, C.","Fuller, R.M.","Smith, G.M.","Sanderson , J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"keyword":["Northern Ireland","Land cover","Mapping","habitat","land cover","mapping"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"keywordsOther":["habitat","land cover","mapping"],"licence":"Non-Open government licence","lineage":"In a major development to earlier methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see on-line supporting documentation.","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"orcid":["https://orcid.org/0000-0001-5916-5174"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1287477917085","https://catalogue.ceh.ac.uk/id/9f043047-d1c7-4852-b513-aa00204022a8","10.5285/9f043047-d1c7-4852-b513-aa00204022a8"],"resourceStatus":"Controlled","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2000 (vector, N.Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 2000 for Northern Ireland, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26..."},{"publicationDate":"2021-07-26T00:00:00.000+00:00","authorAffiliation":["ICIMOD","Newcastle University","Loughborough University"],"authorGivenName":["S.B.","S.","M.V.","W.","Q."],"authorFamilyName":["Maharjan","Joshi","Peppa","Xiao","Liang"],"authorFullName":["Maharjan, S.B.","Joshi, S.","Peppa, M.V.","Xiao, W.","Liang, Q."],"authorRor":["https://ror.org/024brep87","https://ror.org/01kj2bm70","https://ror.org/04vg4w365"],"catalogue":"eidc","description":"3D digital elevation models of Tsho Rolpa glacier lake, Nepal, generated from unmanned aerial vehicle (UAV) imagery, with a spatial resolution of 10 centimetres. It is combined with bathymetry data so that both the lakebed elevation (DTM) and the lake surface elevation (DSM) are obtained.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S005919/1"],"identifier":"8e483692-3b65-41d2-a7fd-5a3cd589a71c","incomingCitationCount":1,"givenName":["S.B.","S.","M.V.","W.","Q."],"familyName":["Maharjan","Joshi","Peppa","Xiao","Liang"],"fullName":["Maharjan, S.B.","Joshi, S.","Peppa, M.V.","Xiao, W.","Liang, Q."],"keyword":["Nepal","Tsho Rolpa","Mapping","bathymetry"],"keywordsPlace":["Nepal","Tsho Rolpa"],"keywordsTheme":["Mapping"],"keywordsOther":["bathymetry"],"licence":"Open government licence","lineage":"448 images were captured from a fixed-wing UAV producing topographic maps of Tsho Rolpa lake. Boat-mounted ultra-sonic altimetry data were collected to measure the lake bed topography.","locations":["POLYGON((86.461 27.847, 86.461 27.876, 86.492 27.876, 86.492 27.847, 86.461 27.847))"],"organisation":["ICIMOD","Newcastle University","Loughborough University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8e483692-3b65-41d2-a7fd-5a3cd589a71c","10.5285/8e483692-3b65-41d2-a7fd-5a3cd589a71c"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/024brep87","https://ror.org/01kj2bm70","https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"state":"published","title":"Digital elevation models and bathymetry data of Tsho Rolpa glacier lake, Nepal, 2019","topic":["0/Mapping/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"3D digital elevation models of Tsho Rolpa glacier lake, Nepal, generated from unmanned aerial vehicle (UAV) imagery, with a spatial resolution of 10 centimetres. It is combined with bathymetry data so that both the lakebed elevation (DTM) and the lake surface elevation..."},{"publicationDate":"2020-06-22T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2018 land parcels dataset into 25m pixels.  It is provided as a three-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators  of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019.  These are the latest 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.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"25c6451b-5c88-40da-9a63-c3ec473e4874","incomingCitationCount":1,"givenName":["Dan","R.D.","C.G.","A.W.","C.S."],"familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, D.","Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"keyword":["Land cover","Land use","UK-SCAPE"],"keywordsTheme":["Land cover","Land use"],"keywordsOther":["UK-SCAPE"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2018 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/25c6451b-5c88-40da-9a63-c3ec473e4874","10.5285/25c6451b-5c88-40da-9a63-c3ec473e4874"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2018 (25m rasterised land parcels, GB)","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. ..."},{"publicationDate":"2020-06-23T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived from the corresponding LCM2018 20m classified pixels dataset.  All further LCM2018 datasets for Great Britain are derived from this land parcel product.  A range of land parcel attributes are provided.  These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation.\n\nLCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019.  These are the latest 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.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6","incomingCitationCount":1,"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"keyword":["Land cover","Mapping","vector","LCM2018","UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"keywordsOther":["vector","LCM2018","UK-SCAPE"],"licence":"Non-Open government licence","lineage":"The Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabse. SpatiaLite is an open standard file format for geospatial vector databases and SpatiLite files can be read by most GIS software.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6","10.5285/9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6"],"resourceStatus":"Controlled","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2018 (land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This..."},{"publicationDate":"2020-06-24T00:00:00.000+00:00","authorAffiliation":["Foundation for Ecological Research, Advocacy and Learning","Ashoka Trust for Research in Ecology and the Environment","Lancaster Environment Centre, Lancaster University"],"authorGivenName":["R.S.","J.","N.A.","K.","S.","R.","P."],"authorFamilyName":["Bhalla","Krishnsawamy","Chappell","Kumaran","Vaidyanathan","Nayak","Ghatwai"],"authorFullName":["Bhalla, R.S.","Krishnsawamy, J.","Chappell, N.A.","Kumaran, K.","Vaidyanathan, S.","Nayak, R.","Ghatwai, P."],"authorOrcid":["https://orcid.org/0000-0002-6551-4470","https://orcid.org/0000-0001-7985-0005","https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0002-8569-8844","https://orcid.org/0000-0003-3642-0309","https://orcid.org/0000-0002-6128-6853"],"authorRor":["https://ror.org/02e22ra24","https://ror.org/04f2nsd36"],"catalogue":"eidc","description":"Data are presented for daily rainfall, stream discharge and hydraulic conductivity of soils from catchments located in the Upper Nilgiris Reserve Forest in the state of Tamil Nadu. The catchments are dominated by four land cover types, shola, grassland, pine and wattle. The data were collected between May 2014 and December 2016. Tipping bucket wired rain gauges were used to measure rainfall. Stream discharge was measured from stilling wells and capacitance probe-based water level recorders. A mini-disk infiltrometer was used to measure the hydraulic conductivity of soils. Dry season data has not been included in this dataset as its focus is on extreme rain events.\n\nThe data were collected as part of a series of eco-hydrology projects that explored the impact of land cover on rain-runoff response, carbon sequestration and nutrient and sediment discharge.\n\nThe dataset presented here was collected by a team of three to five researchers and field assistants who were engaged in the installation of the data loggers and their regular operation and maintenance. Four research agencies have partnered across multiple projects to sustain the data collection efforts that started in June 2013 and continue (June 2020). These are the Foundation for Ecological Research, Advocacy and Learning - Pondicherry, the Ashoka Trust for Research in Ecology and the Environment - Bangalore, the Lancaster Environmental Centre, Lancaster University - UK, and the National Centre for Biological Sciences - Bangalore. Funding was provided by Ministry of Earth Sciences Government of India from the Changing Water Cycle programme (Grant Ref: MoES/NERC/16/02/10 PC-II) and the Hydrologic footprint of Invasive Alien Species project (MOES/PAMC/H&C/85/2016-PC-II). Additional funding was provided by UKRI Natural Environment Research Council grant NE/I022450/1 (Western Ghats-Capacity within the NERC Changing Water Cycle programme) and WWF-India as part of the Noyyal-Bhavani program.This research took place inside protected areas in the Nilgiri Division for which permissions and support were provided continually by the Tamil Nadu Forest Department, particularly the office of the District Forest Officer, Udhagamandalam.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/I022450/1"],"identifier":"9257a999-2844-4be1-80d1-fd29e2ccf9ef","incomingCitationCount":0,"givenName":["R.S.","J.","N.A.","K.","S.","R.","P."],"familyName":["Bhalla","Krishnsawamy","Chappell","Kumaran","Vaidyanathan","Nayak","Ghatwai"],"fullName":["Bhalla, R.S.","Krishnsawamy, J.","Chappell, N.A.","Kumaran, K.","Vaidyanathan, S.","Nayak, R.","Ghatwai, P."],"keyword":["Tipping bucket wired rain gauge","stilling wells","capacitance probe","mini-disk infiltrometer","Southern Western Ghats","Upper Nilgiris","India","Land cover","Hydrology","Soil","Daily rainfall","Daily discharge","hydraulic conductivity","Impacts of land cover"],"keywordsInstrument":["Tipping bucket wired rain gauge","stilling wells","capacitance probe","mini-disk infiltrometer"],"keywordsPlace":["Southern Western Ghats","Upper Nilgiris","India"],"keywordsTheme":["Land cover","Hydrology","Soil"],"keywordsOther":["Daily rainfall","Daily discharge","hydraulic conductivity","Impacts of land cover"],"licence":"Open government licence","lineage":"Tipping bucket wired rain gauges were used to measure rainfall. Stream discharge was measured from stilling wells and capacitance probe based water level recorders. A mini-disk infiltrometer was used to measure the hydraulic conductivity of soils. Data from loggers on the rain gauges and water level recorder were downloaded fortnightly onto field laptops. Field notes were maintained for the hydraulic conductivity data and for recording metadata during field visits. Data was processed in the field station using R scripts which included routines to plot and visualise data to assure quality. Rainfall and discharge data were aggregated to daily time steps and output as a .csv file for deposit into the EIDC.","locations":["POLYGON((76.552 11.274, 76.552 11.31, 76.585 11.31, 76.585 11.274, 76.552 11.274))"],"orcid":["https://orcid.org/0000-0002-6551-4470","https://orcid.org/0000-0001-7985-0005","https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0002-8569-8844","https://orcid.org/0000-0003-3642-0309","https://orcid.org/0000-0002-6128-6853"],"organisation":["Foundation for Ecological Research, Advocacy and Learning","Ashoka Trust for Research in Ecology and the Environment","Lancaster Environment Centre, Lancaster University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9257a999-2844-4be1-80d1-fd29e2ccf9ef","10.5285/9257a999-2844-4be1-80d1-fd29e2ccf9ef"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/02e22ra24","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"state":"published","title":"Daily rainfall, stream discharge and hydraulic conductivity of soils from catchments dominated by different vegetation types, Western Ghats, India, 2014-2016","topic":["0/Land cover/","0/Hydrology/","0/Soil/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"Data are presented for daily rainfall, stream discharge and hydraulic conductivity of soils from catchments located in the Upper Nilgiris Reserve Forest in the state of Tamil Nadu. The catchments are dominated by four land cover types, shola, grassland, pine and wattle...."},{"publicationDate":"1998-12-31T00:00:00.000+00:00","altTitle":["ITE Merlewood Land Classification of Great Britain 1998"],"authorAffiliation":["Institute of Terrestrial Ecology"],"authorGivenName":["R.G.H","C.J.","R.T.","D.C.","A.M.J."],"authorFamilyName":["Bunce","Barr","Clarke","Howard","Lane"],"authorFullName":["Bunce, R.G.H.","Barr, C.J.","Clarke, R.T.","Howard, D.C.","Lane, A.M.J."],"catalogue":"eidc","description":"The Land Classification 1998 is a classification of Great Britain into a set of 40 environmental strata, termed land classes, to be used as a basis for ecological survey, originally developed by the Institute of Terrestrial Ecology (ITE) in the late 1970s and building upon a previous 1990 version. The strata were created from the multivariate analysis of 75 environmental variables, including climatic data, topographic data, human geographical features and geology data. The Land Classification can be used to stratify a wide range of ecological and biogeographical surveys to improve the efficiency of collection, analysis and presentation of information derived from a sample. The Land Classification 1998 provided stratification for the Countryside Survey of Great Britain 2000 and was adjusted from the 1990 version as a consequence of needing to provide National Estimates for habitats for Scotland from Countryside Survey 2000 in addition to GB as a whole. The dataset was later modified in 2007 during Countryside Survey 2007. Both the 1990 version and the 2007 version are also available. ","documentType":"GEMINI_DOCUMENT","identifier":"971671a6-98b4-4d80-b165-21dace7373b9","incomingCitationCount":2,"givenName":["C.M.","R.G.H","C.J.","R.T.","D.C.","A.M.J."],"familyName":["Wood","Bunce","Barr","Clarke","Howard","Lane"],"fullName":["Wood, C.M.","Bunce, R.G.H.","Barr, C.J.","Clarke, R.T.","Howard, D.C.","Lane, A.M.J."],"keyword":["Great Britain","Mapping","landscape ecology","ecology"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Mapping"],"keywordsOther":["landscape ecology","ecology"],"licence":"Non-Open government licence","lineage":"The 1998 version of the ITE Land Classification was developed from an earlier classification from 1990 which used environmental data from all 240,000 km squares in GB to create the stratification. It contains 40 classes or strata, distributed across Great Britain. Each stratum consists of areas with similar environmental characteristics. The classification differs from the 1990 version by splitting classes in England and creating additional classes in Scotland. Further information is provided in the supporting documents available in the Online Resources.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["UK Centre for Ecology & Hydrology","Institute of Terrestrial Ecology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1317814176710","https://catalogue.ceh.ac.uk/id/971671a6-98b4-4d80-b165-21dace7373b9","10.5285/971671a6-98b4-4d80-b165-21dace7373b9"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"ITE Land Classification of Great Britain 1998","topic":["0/Mapping/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"The Land Classification 1998 is a classification of Great Britain into a set of 40 environmental strata, termed land classes, to be used as a basis for ecological survey, originally developed by the Institute of Terrestrial Ecology (ITE) in the late 1970s and building..."},{"publicationDate":"2020-10-09T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"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. \n\nLCM1990 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.  \n\nLCM1990 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.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"bb381b5b-d44e-4dbd-a9d1-efffd4c3e4a8","incomingCitationCount":0,"givenName":["C.S.","C.G.","R.D.","A.W."],"familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"keyword":["Land cover","Land use","Mapping","UK-SCAPE"],"keywordsTheme":["Land cover","Land use","Mapping"],"keywordsOther":["UK-SCAPE"],"licence":"Non-Open government licence","lineage":"The percentage target class is produced from the 25m raster (which is derived from the vector product) by:\n1. Using gdal_calc to split the 21 target classes into 21 individual images for each class where the presence of the class in question is recorded as 100 and absence is assigned 0.\n2. Gdal_warp is then applied to each of the 21 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.\n3. Gdal_merge is then used to create a single file with 21 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bb381b5b-d44e-4dbd-a9d1-efffd4c3e4a8","10.5285/bb381b5b-d44e-4dbd-a9d1-efffd4c3e4a8"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 1990 (1km percentage target class, GB) v2","topic":["0/Land cover/","0/Land use/","0/Mapping/"],"version":2.0,"view":["public","clamw"],"shortenedDescription":"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..."},{"publicationDate":"2022-07-01T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is a 25m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.  It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset.  The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty.  A full description of this and all UKCEH LCM2020 products are available from the LCM2020 product documentation.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"c1d73bd3-33aa-4a5f-aac5-47c403c2a0e6","incomingCitationCount":0,"givenName":["R.D.","C.G.","A.W.","C.S."],"familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"keyword":["Northern Ireland","Land cover","Mapping","Map","Biodiversity Action Plan","habitat","land cover"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"keywordsOther":["Map","Biodiversity Action Plan","habitat","land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10m pixels across the whole of UK.  Training data were automatically selected from stable land covers over the interval of 2017 to 2019.  A Random Forest classifier used these to classify four composite images representing per season median surface reflectance.  Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.\n\nLand cover was validated by organising the 10m pixel classification into a land parcel framework (the LCM2020 classified land parcels, Northern Ireland product).  The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy.  Details are available from the product documentation.\n\nThe 25m rasterised land parcels, N. Ireland is created by pixelating the corresponding land parcel product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c1d73bd3-33aa-4a5f-aac5-47c403c2a0e6","10.5285/c1d73bd3-33aa-4a5f-aac5-47c403c2a0e6"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2020 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","crimar"],"shortenedDescription":"This is a 25m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.  It is a three-band raster in GeoTiff format, produced by rasterising three properties of..."},{"publicationDate":"2023-01-26T00:00:00.000+00:00","authorAffiliation":["Politecnico di Torino ","Politecnico di Torino","University College London"],"authorGivenName":["M.","S.","C."],"authorFamilyName":["Tuninetti","Tamea","Dalin"],"authorFullName":["Tuninetti, M.","Tamea, S.","Dalin, C."],"authorOrcid":["https://orcid.org/0000-0003-2619-8783","https://orcid.org/0000-0001-6388-3283","https://orcid.org/0000-0002-2123-9622"],"authorRor":["https://ror.org/00bgk9508","https://ror.org/02jx3x895"],"catalogue":"eidc","description":"Gridded data of water debt for year 2000. The water debt expresses the number of years required by the hydrological cycle to replenish the water source (soil moisture, surface water, ground water) that have been used to accomplish the annual production of nine major crops. The considered crops are: wheat, maize, rice, soybean, sugar cane, sugar beet, cotton, barley, sorghum.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","European Research Council"],"grant":["NE/N01524X/1","647473"],"identifier":"45cb218c-b050-4ee8-8c87-73d3895a111f","incomingCitationCount":0,"givenName":["M.","S.","C."],"familyName":["Tuninetti","Tamea","Dalin"],"fullName":["Tuninetti, M.","Tamea, S.","Dalin, C."],"keyword":["Hydrology","Mapping","crop production","agronomy","hydrology","water resources conservation","environmental sustainability"],"keywordsTheme":["Hydrology","Mapping"],"keywordsOther":["crop production","agronomy","hydrology","water resources conservation","environmental sustainability"],"licence":"Open government licence","lineage":"Definition of the Water Debt (WD) Repayment Time: \nThe WD is calculated, at a 5' × 5' spatial resolution for the production of year 2000, as the ratio of the cell annual water footprint, WFs, cr, l, which is specific for each source s, crop cr, and location l, and the average renewable volume of water annually available in the cell.\n\nThe annual renewability rate is calculated as a long-term average along the period 1987–2013. In this way, we obtain an average measure of the water availability in the cell, which smooths out potential extremely dry or extremely wet years. The water footprint (WF) estimates are computed for year 2000 because this is the most referenced year in agricultural datasets available in the literature.\n\nThe WFs, cr, l estimate is obtained as the product of the local crop water footprint (CWF) by source, (CWFs, cr, l, expressed in cubic meters per ton of crop), and the annual crop production (Pr), (Pcr, l, expressed in tons of crop).\n\nThe total WD of the sources, arising from all the crops cultivated in the grid cell, WDs, l, equals the sum of debts generated by each crop.\n\nOwing to the simultaneous replenishment of soil water, surface water, and groundwater by precipitation, the crop WD across the threes sources, WDcr, l, is given by the maximum WDs, l, cr value across sources s.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0003-2619-8783","https://orcid.org/0000-0001-6388-3283","https://orcid.org/0000-0002-2123-9622"],"organisation":["Politecnico di Torino ","Politecnico di Torino","University College London","Natural Environment Research Council","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/45cb218c-b050-4ee8-8c87-73d3895a111f","10.5285/45cb218c-b050-4ee8-8c87-73d3895a111f"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/00bgk9508","https://ror.org/02jx3x895","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"state":"published","title":"Water debt for the annual production of nine major crops globally at 5 arcmin resolution for the year 2000","topic":["0/Hydrology/","0/Mapping/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"Gridded data of water debt for year 2000. The water debt expresses the number of years required by the hydrological cycle to replenish the water source (soil moisture, surface water, ground water) that have been used to accomplish the annual production of nine major..."},{"publicationDate":"2023-01-13T00:00:00.000+00:00","authorAffiliation":["The Mammal Society","UK Centre for Ecology & Hydrology","Sea Watch Foundation"],"authorGivenName":["D.","F.","L.","C.","P.","J.","B."],"authorFamilyName":["Crawley","Coomber","Kubasiewicz","Harrower","Evans","Waggitt","Smith","Mathews"],"authorFullName":["Crawley, D.","Coomber, F.","Kubasiewicz, L.","Harrower, C.","Evans, P.","Waggitt, J.","Smith, B.","Mathews, F."],"authorOrcid":["https://orcid.org/0000-0001-5070-5293"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains 10km summarised occurrence data for terrestrial mammals as mapped in the Atlas of Mammal of Great Britain and Northern Ireland published by the Mammal Society in 2020. For each species 10km grid squares were categorised based on whether the species was recorded in that square only the current atlas time period (2000-2016), only the previous atlas time period (1960-1992) or in both time periods. The dataset contains data for all species mapped in the atlas, with the exception of cetaceans which are not included in the dataset.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"422adbc3-306e-437a-9fe1-c7b53a374f87","incomingCitationCount":0,"givenName":["Colin","D.","F.","L.","C.","P.","J.","B."],"familyName":["Harrower","Crawley","Coomber","Kubasiewicz","Evans","Waggitt","Smith","Mathews"],"fullName":["Harrower, C.","Crawley, D.","Coomber, F.","Kubasiewicz, L.","Evans, P.","Waggitt, J.","Smith, B.","Mathews, F."],"keyword":["Mapping","Biodiversity","Occurrence","Mammal atlas","mammal","distribution","biodiversity"],"keywordsTheme":["Mapping","Biodiversity"],"keywordsOther":["Occurrence","Mammal atlas","mammal","distribution","biodiversity"],"licence":"Open government licence","lineage":"This dataset is a summarised product of the production of the Mammal Atlas and represents the 10km resolution data plotted in the species maps in the atlas.\n\nThe underlying data used in the production of the atlas to determine the summarised distributions came from a wide number of sources, such as the iRecord, National Biodiversity Network (NBN) gateway (now the NBN atlas), local biological records centres, national and local monitoring schemes. Data was provided to the Mammal Society from these sources for the purpose of producing the mammal atlas. Data from iRecord and the Mammal Society’s online recording tools & mammal tracker app were verified and validated by Mammal Society verifiers. The majority of other data had undergone verification and validation prior to being provided to the Mammal Society but the level and extent of QA differed between sources and the QA processes were often not specified in detail.\n\nThe majority of data is opportunistic sightings data, however the dataset does also contain data from structured and or professional surveys.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0001-5070-5293"],"organisation":["UK Centre for Ecology & Hydrology","The Mammal Society","Sea Watch Foundation","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/422adbc3-306e-437a-9fe1-c7b53a374f87","10.5285/422adbc3-306e-437a-9fe1-c7b53a374f87"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","The Mammal Society"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Occurrence data at 10km resolution for terrestrial mammals in Great Britain and Northern Ireland, 1960-1992 and 2000-2016","topic":["0/Mapping/","0/Biodiversity/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"This dataset contains 10km summarised occurrence data for terrestrial mammals as mapped in the Atlas of Mammal of Great Britain and Northern Ireland published by the Mammal Society in 2020. For each species 10km grid squares were categorised based on whether the species..."},{"publicationDate":"2024-06-17T00:00:00.000+00:00","authorAffiliation":["Durham University","University of Exeter","University of Plymouth","Instituto Geofísico del Perú"],"authorGivenName":["C.C.","J.","S.","W.","S.G."],"authorFamilyName":["Clason","Kitch","Rangecroft","Blake","Morera","Contreras Acho"],"authorFullName":["Clason, C.C.","Kitch, J.","Rangecroft, S.","Blake, W.","Morera, S.","Contreras Acho, S.G."],"authorOrcid":["https://orcid.org/0000-0001-8236-2555","https://orcid.org/0000-0001-9778-3758","https://orcid.org/0000-0001-9447-1361","https://orcid.org/0000-0001-5743-1897"],"catalogue":"eidc","description":"These data encompass land cover data and sediment geochemistry from the Rio Santa catchment of the Peruvian Andes. Sediment samples were collected within the SIGMA: Peru project between 2019-2020. Geochemistry data include major and minor elements in sediment samples determined by X-Ray Fluorescence (XRF), organic matter determined by loss-on-ignition (LOI), and particle size data, and are provided for both the wider Rio Santa catchment and the Ranrahirca sub-catchment. The research was supported by the Natural Environment Research Council and the Newton Fund (grant NE/S013245/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S013245/1"],"identifier":"20837a27-414c-4597-a6d2-3edc1d2e9a98","incomingCitationCount":0,"givenName":["C.C.","J.","S.","W.","S.G."],"familyName":["Clason","Kitch","Rangecroft","Blake","Morera","Contreras Acho"],"fullName":["Clason, C.C.","Kitch, J.","Rangecroft, S.","Blake, W.","Morera, S.","Contreras Acho, S.G."],"keyword":["Peru","Cordillera Blanca","Rio Santa","Ranrahirca","Land cover","Hydrology","Environmental survey","XRF","sediment","sediment chemistry","land cover"],"keywordsPlace":["Peru","Cordillera Blanca","Rio Santa","Ranrahirca"],"keywordsTheme":["Land cover","Hydrology","Environmental survey"],"keywordsOther":["XRF","sediment","sediment chemistry","land cover"],"licence":"Open government licence","lineage":"A new land cover map for the Rio Santa was generated via supervised classification of Landsat 8 imagery in ArcGIS, trained from field-sampled and geolocated land cover data. Sediment samples were collected in the field between 2019 and 2020 to characterise the range of sediment sources contributing to channel sediments in the Rio Santa catchment and Ranrahirca sub-catchment. Samples were oven dried, sieved to <63 μm, and prepared as required for further analyses. Data were produced on organic content (via loss-on-ignition), particle size (via laser diffraction) and major and minor elements (via Wavelength Dispersive X-Ray Fluorescence). All data were assessed for quality and erroneous values removed.","locations":["POLYGON((-78.716 -10.17, -78.716 -8.033, -77.112 -8.033, -77.112 -10.17, -78.716 -10.17))"],"orcid":["https://orcid.org/0000-0001-8236-2555","https://orcid.org/0000-0001-9778-3758","https://orcid.org/0000-0001-9447-1361","https://orcid.org/0000-0001-5743-1897"],"organisation":["Durham University","University of Exeter","University of Plymouth","Instituto Geofísico del Perú","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/20837a27-414c-4597-a6d2-3edc1d2e9a98","10.5285/20837a27-414c-4597-a6d2-3edc1d2e9a98"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Plymouth"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Land cover and sediment geochemistry in the Rio Santa catchment, Cordillera Blanca, Peru, 2019-2020","topic":["0/Land cover/","0/Hydrology/","0/Environmental survey/"],"version":1.0,"view":["public","rafbar"],"shortenedDescription":"These data encompass land cover data and sediment geochemistry from the Rio Santa catchment of the Peruvian Andes. Sediment samples were collected within the SIGMA: Peru project between 2019-2020. Geochemistry data include major and minor elements in sediment samples..."},{"publicationDate":"2014-12-08T00:00:00.000+00:00","authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorGivenName":["C.J.","M.J.","R.G.H.","P.D.","K.","R. T.","A.","M.K.","D.C.","L.C.","M. J.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. 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In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","identifier":"7e2981e7-bd4c-4992-b7b0-1b1253bfd20d","incomingCitationCount":0,"givenName":["C.J.","M.J.","R.G.H.","P.D.","K.","R. T.","A.","M.K.","D.C.","L.C.","M. J.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. 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Data were recorded from 508 1km squares (1990), 569 1km squares (1998/1999) and 591 1km squares (2007) sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats from 1990 and 1998/1999 were digitized in 2000. The digitized data were used to generate national estimates of the change in Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). 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