Enhanced Vegetation Index (EVI) - Switzerland [2016, Sentinel-2]

This dataset is an time-serie of Sentinel-2 Analysis Ready Data (ARD)- derived Enhanced Vegetation Index (EVI) computed from Sentinel-2 data. EVI quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs) using the forumla EVI=2.5*(b8 − b4)/(b8 + 6*b4 − 7.5*b2 + 1). See Huete et al. (2002) DOI: 10.1016/S0034-4257(02)00096-2 EVI is usually used for areas with high LAI where NDVI is expected to saturate. EVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health. EVI values ranges from -1 to +1. Values are provided as integer and multiplied by 1000 Metrics: annual (_annual) and seasonal (_spring; _summer; _autumn; _winter) mean (_nanmean), standard dev (_nanstd), min (_nanmin), max (_nanmax), median (_nanmedian), and amplitude (_range) Data format: GeoTiff This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch) in the frame of the ValPar.CH project

    Organizational unit
    Swiss Data Cube
    Type
    Dataset
    DOI
    10.26037/yareta:bnvt2erzfzdvbib6vz5zsi5p4m
    License
    Creative Commons Attribution 4.0 International
    Keywords
    vegetation, evi, sentinel-2, valpar
Publication date20/09/2022
Retention date17/09/2032
accessLevelPublicAccess levelPublic
SensitivityBlue
licenseContract on the use of data
License
Contributors
  • Chatenoux, Bruno orcid
  • Giuliani, Gregory orcid
  • Rodila, Denisa
  • Schweiger, Anna
55
1
  • Quality (0 Reviews)
  • Usefulness (0 Reviews)

Datacite metadata

Packages information

Similar archives

Swiss Data Cube
Landsat 8 Surface Reflectance Analysis Ready Data 2018
2020 accessLevelPublic Public 48.5 GB
Swiss Data Cube
Landsat 7 Surface Reflectance Analysis Ready Data 2005
2020 accessLevelPublic Public 14.5 GB
Swiss Data Cube
Landsat 7 Surface Reflectance Analysis Ready Data 2006
2020 accessLevelPublic Public 12.6 GB
Swiss Data Cube
Landsat 7 Surface Reflectance Analysis Ready Data 2016
2020 accessLevelPublic Public 24.7 GB
All rights reserved by DLCM and the University of GenevaunigeBlack