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imageryBaseMapsEarthCover

138 record(s)

 

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From 1 - 10 / 138
  • This dataset consists of the unprocessed radiance measurements downloaded directly from the unmanned aerial system imaging platform used to image the ice sheet surface near UPE_U in the north-west of the Greenland Ice Sheet, along with captures of reflectance panels and sensor calibration parameters which enable these imagery to be transformed to reflectance measurements. Funding was provided by the NERC standard grant NE/M021025/1.

  • This dataset consists of the unprocessed radiance measurements downloaded directly from the unmanned aerial system imaging platform used to image the ice sheet surface at S6 on the south-west Greenland K-transect during July 2017, along with captures of reflectance panels and sensor calibration parameters which enable these imagery to be transformed to reflectance measurements. Funding was provided by the NERC standard grant NE/M021025/1.

  • Polar View delivers a range of environmental information services for the polar regions derived primarily from satellite imagery and data. The project aims to coordinate delivery of these information products direct to users. Services include enhanced sea ice information (charts and forecasts) as well as ice-edge and iceberg monitoring data. We also provide monitoring services for lake and river ice, snow cover maps and glacier monitoring and assessment. any services are delivered in near real time and are readily accessible via the Internet.

  • This dataset contains the annual ice front position shapefiles of the Thwaites Glacier Ice Tongue between 2000 and 2018 as shown in the Miles et al. (2020) paper. Each shapefile was mapped manually from MODIS imagery in the March of each year. The dataset details the retreat of the ice tongue and transition from a tabular calving regime to a disintegration type calving. This work was funded by NERC grant NE/R000824/1.

  • This dataset includes ice velocity and ice front position data presented in the published paper by Miles et al. (2021): ''Recent acceleration of Denman Glacier (1972-2017), East Antarctica, driven by grounding line retreat and changes in ice tongue configuration''. The dataset includes ice front position shapefiles of the Denman Ice Tongue from 1962 to 2018, ice velocity data from 1972-74 and 1989, and the coordinates of transect A-AA used in the figure 3 in Miles et al. (2021). This research was funded by NERC standard grant NE/R000824/1.

  • This dataset is a fine resolution 2018 land cover map of the headwaters region of the Welland River Catchment, UK, projected in British national grid. It has a spatial resolution of 10m and thematic resolution of 10 classes. The map covers a 340km2 region across the English counties of Leicestershire, Rutland and Northamptonshire with predominantly agricultural land use. Full details about this dataset can be found at https://doi.org/10.5285/63b748ee-22a4-42ca-8a34-20321f6ab8af

  • This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Northern Ireland. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). 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. Full details about this dataset can be found at https://doi.org/10.5285/f6fc7bd4-6525-4850-b832-24b6c05b8074

  • [THIS DATASET HAS BEEN WITHDRAWN]. The Land Cover Map of Great Britain 1990 (1km percentage target class, GB), is a raster digital dataset, providing a classification of land cover types into 25 classes, at a 1km resolution. The dataset consists of a set of 1km bands, each containing one of 25 target classes (or 'sub' classes). Each band of the dataset contains the percentage of the specified habitat class per 1km, derived from a higher resolution (25m) dataset. The map was produced using supervised maximum likelihood classifications of Landsat 5 Thematic Mapper satellite data. The 25 mapped classes include sea and inland waters, bare, suburban and urban areas, arable farmland, pastures and meadows, rough grass, grass heaths and moors, bracken, dwarf shrub heaths and moorland, scrub, deciduous and evergreen woodland, and upland and lowland bogs. It can potentially be used to plan, manage or monitor agriculture, ecology, conservation, forestry, environmental assessment, water supplies, urban spread, transport, telecommunications, recreation and mineral extraction. The map was produced in the early 1990s by a forerunner of the Centre for Ecology & Hydrology, the Institute of Terrestrial Ecology, at Monks Wood. Note: The bands in the dataset run from 1-26, not 0-25 as stated in the documentation. Hence '1' is unclassifed (not '0'), '2' is sea/estuary and so on. Full details about this dataset can be found at https://doi.org/10.5285/0172cc8c-8b5c-46cf-b08a-785ab832e88c

  • This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Great Britain. Each 1km pixel represents the dominant target class (or 'sub class') across the 1km area. The target classes broadly represent Broad Habitats (see below). 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. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB). Like the earlier 1990 products, 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. Full details about this dataset can be found at https://doi.org/10.5285/abff8409-0995-48d2-9303-468e1a9fe3df

  • This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Northern Ireland. Each 1km pixel represents the dominant target class (or 'sub class') across the 1km area. The target classes broadly represent Broad Habitats (see below). 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. Full details about this dataset can be found at https://doi.org/10.5285/e025d2f5-059c-41de-b856-202d8b2d4719