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Sentinel 1 and Sentinel 2 data (external access)
Defra and JNCC aim to provide timely, cost effective and high quality, Analysis Ready Sentinel Data (ARD) for a wide range of applications. These data are provided for the UK geographic area for...
Normalised Difference Vegetation Index (NDVI): JNCC Sentinel-2 indices Analysis Ready Data (ARD)
NDVI is a widely used index which quantifies vegetation greenness and can provide an indication of vegetation health and vegetation density. It is calculated as the ratio between the near-infrared...
Normalised Difference Moisture Index (NDMI): JNCC Sentinel-2 indices Analysis Ready Data (ARD)
NDMI can be used to assess vegetation moisture content, and is calculated as the ratio between the near-infrared (NIR) and short-wave infrared (SWIR) bands. It is commonly used to assess water...
Normalised Burn Ratio (NBR): JNCC Sentinel-2 indices Analysis Ready Data (ARD)
NBR enables identification of burned areas and can also provide an indication of burn severity. It is calculated as the ratio between the near-infrared (NIR) and short-wave infrared (SWIR) bands,...
VH/VV Cross Ratio: JNCC Sentinel-1 indices Analysis Ready Data (ARD)
The VH/VV Sentinel-1 cross ratio highlights volume scattering and can be used to infer structural information about a landscape and provide insights into vegetation water content (Vreugdenhil et...
JNCC Sentinel-1 indices Analysis Ready Data (ARD)
These data have been created by the Joint Nature Conservation Committee (JNCC) as part of the “Earth observation-based habitat condition change detection” project. This project is funded by the...
Normalised Difference Water Index (NDWI): JNCC Sentinel-2 indices Analysis Ready Data (ARD)
NDWI is used to identify water bodies and detect changes in their extent. It is calculated as the ratio of the green and near-infrared (NIR) bands. Positive index values generally indicate the...
Enhanced Vegetation Index 2 (EVI2): JNCC Sentinel-2 indices Analysis Ready Data (ARD)
EVI2 (Jiang et al., 2008) is computed using the near-infrared (NIR) and red bands. While the majority of EVI2 data falls within the range of -1 to +1, some values may exceed +1. These are...
Living England Segmentation (2019)
This is the spatial framework around which the Living England Phase II habitat classification is based. The segmentation was created in the Trimble eCognition software using Sentinel-2 Analysis...
Living England 2022-23
Living England is a multi-year project which delivers a broad habitat map for the whole of England, created using satellite imagery, field data records and other geospatial data in a machine...
National Trees Outside Woodland Map
The National Trees Outside Woodland (TOW) V1 map is a vector product funded by DEFRA’s Natural Capital and Ecosystem Assessment (NCEA) programme produced under Forest Research’s Earth Observation...
Crop Map of England (CROME) 2022
The Crop Map of England (CROME) is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over...
Crop Map of England (CROME) 2017 - South East
Crop Map of England (CROME) 2017 - Midlands
Living England Habitat Map (Phase 4)
The Living England project, led by Natural England, is a multi-year programme delivering a satellite-derived national habitat layer in support of the Environmental Land Management (ELM) System and...
Moorland Change Map (England)
The Moorland Change Map (MCM) is a vector dataset which shows whether the uplands monitored contain change during the period of monitoring (Approximately the moorland burning season of Oct to Apr....
Crop Map of England (CROME) 2016 - South East
The Crop Map of England (CROME) South East is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England...
Crop Map of England (CROME) 2017 - South West
Crop Map of England (CROME) 2017 - Complete
Crop Map of England (CROME) 2016 - South West
The Crop Map of England (CROME) South West is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England...
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