This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Northern Ireland. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations of the target (or 'sub') 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. Note that the Band numberings in the dataset run from 1-11 rather than 0-10 and therefore each band relates to the one below it in the subclass code list. Full details about this dataset can be found at https://doi.org/10.5285/bff95455-9f28-48e5-a8d1-340fb79f9719

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

This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Great Britain. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations of the target (or 'sub') 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. 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. Note that the Band numberings in the dataset run from 1-11 rather than 0-10 and therefore each band relates to the one below it in the sub class code list. Full details about this dataset can be found at https://doi.org/10.5285/f2f646d3-cc5a-4676-8194-34dbfa1c2874

The data describe vegetation outlines and tree tops above 1m in height as polylines and points. Data have been processed from a digital terrain model (DTM) and digital surface model (DSM), converted from raw LiDAR data. The LiDAR dataset was acquired for Cornwall and Devon (all the land west of Exmouth) during the months of July and August 2013. The data were created as part of the Tellus South West project. Full details about this dataset can be found at https://doi.org/10.5285/78dba959-989b-43d4-b4da-efd2506e0c8e

[THIS DATASET HAS BEEN WITHDRAWN]. The Land Cover Map of Great Britain 1990 (1km dominant target class, GB), is a raster digital dataset, providing classification of land cover types into 25 classes, at a 1km resolution. The dataset consists of a 1km grid with a full set of the 25 target classes (or 'sub' classes). Each 1km contains the dominant habitat class, 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. Full details about this dataset can be found at https://doi.org/10.5285/4e3fe599-1ae9-4dbb-9476-bfc74fe90b4e

This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3A. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water. Daytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel-3A equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class. The dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRA achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface. Dataset coverage starts on 1st May 2016 and ends on 31st December 2020. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies. The dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain. The dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.

EVI is a development on Normalised Difference Vegetation Index (NDVI). Sentinel-Hub EVI description: In areas of dense canopy cover, where leaf area index (LAI) is high, the blue wavelengths can be used to improve the accuracy of NDVI, as it corrects for soil background signals and atmospheric influences. The range of values for EVI is -1 to 1, with healthy vegetation generally around 0.20 to 0.80. EVI is calculated: EVI = 2.5 * ((NIR – RED) / ((NIR + (6 * RED) – (7.5 * BLUE)) + 1)) Sentinel 2 EVI = 2.5 * ((B8 – B4) / ((B8 + (6 * B4) – (7.5 * B2)) + 1)) These data have been created by the Joint Nature Conservation Committee (JNCC) as part of a Defra Natural Capital and Ecosystem Assessment (NCEA) project to produce a regional, and ultimately national, system for detecting a change in habitat conditions at a land parcel level. The first stage of the project is focused on Yorkshire, UK, and therefore the dataset includes granules and scenes covering Yorkshire and surrounding areas only. The dataset contains Enhanced Vegetation Index data derived from Defra and JNCC Sentinel-2 Analysis Ready Data. EVI files are generated for the following Sentinel-2 granules: • T30UWE • T30UXF • T30UWF • T30UXE • T31UCV • T30UYE • T31UCA As the project continues, JNCC will expand the geographical coverage of this dataset and will provide continuous updates as ARD becomes available.

This dataset consists of the Digital Terrain Model 10m resolution data (DTM10) from the NEXTMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 5m and cover the British Isles.

The reflectance spectra of the spring barley of field Brockley, near Chilbolton was collected as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. This dataset compromises the data which was collected on the 15th June. Measurements were also taken on the 18th at this location, the dataset record for which is available through linked documentation. Measurements were recorded using an ASD N4406 FieldSpec Pro, measurements having been taken at 5 flags within the field. After the exclusion of noisy bands, the spectra contains 1926 bands, covering the wavelengths 350-1354 nm, 1409-1811 nm and 1952-2496 nm. For further information on the processing of the raw data please see the dataset's metadata pdf in linked documentation. Please note that all raw spectra files collected during the NCAVEO campaign with ASD N4406 have incorrect dates. The laptop computer used with the ASD had the month accidently set to JULY instead of June. The DAY of month and TIME (UTC) are correct in all cases. All other files (FSF spreadsheets and Excel/ENVI summary outputs) are marked with the correct 15-18th June 2006 dates.

The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.