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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 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...
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...
Trends and status of liver neoplasms in flatfish from UK waters collected between 2004 and 2015
These data are the results from histological analysis of liver neoplasms (lesions) found in flatfish taken from UK waters between 2004 and 2015. Data on the length, weight, sex and age of...
Microplastic effect data. The world is your oyster: low-dose, long-term microplastic exposure of juvenile oysters
This dataset contains three separate files form an eighty day exposure study where we exposed juvenile oysters, Crassotrea gigas, to 3 different MP concentrations (10Power4, 10Power5, 10Power6...
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....
National LIDAR Programme
The Environment Agency National LIDAR Programme provides accurate elevation data at 1m spatial resolution for all of England.
In 2017 we divided the country into 302 survey blocks covering all of...
Predictor variables and sedimentation rate samples used to predict sedimentation rates within the Baltic Sea from 1992 - 2017
Input data used to predict sedimentation rate for the Baltic Sea. Observation data includes: Sedimentation rate data derived from isotope 137Cs tracers and pseudo-samples of zero sedimentation...
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