Normalized Difference Vegetation Index (NDVI) - Annual Mean - Switzerland

This dataset is an annual time-serie of Landsat Analysis Ready Data (ARD)-derived Normalized Difference Vegetation Index (NDVI) computed from Landsat 5 Thematic Mapper (TM) and Landsat 8 Opeational Land Imager (OLI). To ensure a consistent dataset, Landsat 7 has not been used because the Scan Line Correct (SLC) failure creates gaps into the data. NDVI quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs) using this generic formula: (NIR - R) / (NIR + R) For Landsat sensors, this corresponds to the following bands: Landsat 5, NDVI = (Band 4 – Band 3) / (Band 4 + Band 3). Landsat 8, NDVI = (Band 5 – Band 4) / (Band 5 + Band 4). NDVI values ranges from -1 to +1. NDVI is used to quantify vegetation greenness and is useful in understanding vegetation density and assessing changes in plant health. Standard Deviation is also provided for each time step. Data format: GeoTiff This dataset has been genereated with the Swiss Data Cube (http://www.swissdatacube.ch)

    Organizational unit
    Swiss Data Cube
    Type
    Dataset
    DOI
    10.26037/yareta:kpmscrogqbdhvjeuev2ydrzk7y
    License
    Creative Commons Attribution 4.0 International
Publication date20/08/2020
Retention date18/08/2030
accessLevelPublicAccess levelPublic
SensitivityUndefined
duaNoneContract on the use of data
Contributors
  • Italiano, Julie
  • Chatenoux, Bruno orcid
  • Charlotte, Poussin
  • Giuliani, Gregory orcid
304
142
  • 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