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Dataset

 

JNCC Sentinel-2 indices Analysis Ready Data (ARD) Enhanced Vegetation Index (EVI)

Status: Obsolete
Online Status: ONLINE
Publication State: Removed
Publication Date: 2022-05-11
Download Stats: last 12 months
Dataset Size: 1 Files | 893B

THESE DATA HAVE BEEN REMOVED - RECORD FOR REFERENCE ONLY!
Abstract

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.

Citable as:  Joint Nature Conservation Committee (2022): JNCC Sentinel-2 indices Analysis Ready Data (ARD) Enhanced Vegetation Index (EVI). NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/102909b1d169469f85c099a6f1686bad
Abbreviation: Not defined
Keywords: JNCC, ARD, EVI, Sentinel 2, EO indices, Analysis Ready Data, Sentinel

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
These data have been removed (see lineage statement for details).
Data lineage:

Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).

2023-02-10 These data were removed for the following reason: These data have been removed due to errors in the processing. At present there are no plans to replace them.

Data Quality:
A representative subset of data are manually checked to ensure the indices files align with the ARD files, the value ranges are as expected, and the data format is correct. Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).
File Format:
These data are provided in Cloud Optimized GeoTIFF (COG) format.

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Instrument/Platform pairings

Sentinel 2 Multispectral Instrument (MSI) Deployed on: Sentinel 2A

Instrument/Platform pairings

Sentinel 2 Multispectral Instrument (MSI) Deployed on: Sentinel 2B

Computation Element: 1

Title Computation for JNCC Sentinel-2 indices Analysis Ready Data (ARD) Enhanced Vegetation Index (EVI)
Abstract All index equations from Sentinel-hub custom scripts (links in Related Documents). Sentinel-2 surface reflectance products are obtained from Defra and JNCC Sentinel-2 ARD CEDA dataset. ARD granules are masked using the corresponding cloud and topographic shadow masks. EVI index files are then generated in R 3.6.1 using the raster::calc function.
Input Description None
Output Description None
Software Reference None
Output Description

None

Output Description

None

No variables found.

Coverage
Temporal Range
Start time:
2015-07-12T00:00:00
End time:
Ongoing
Geographic Extent

 
55.0470°
 
-3.0000°
 
1.7330°
 
53.0710°