Normalized Difference Water Index (NDWI) - Seasonal Standard Deviation - Switzerland

This dataset is a seasonal standard deviation time-series of Landsat Analysis Ready Data (ARD)-derived Normalized Difference Water Index (NDWI) computed from Landsat 5 Thematic Mapper (TM) and Landsat 8 Opeational Land Imager (OLI). It complements the seasonal mean dataset. To ensure a consistent dataset, Landsat 7 has not been used because the Scan Line Correct (SLC) failure creates gaps into the data. NDWI quantifies plant water content by measuring the difference between Near-Infrared (NIR) and Short Wave Infrared (SWIR) (or Green) channels using this generic formula: (NIR - SWIR) / (NIR + SWIR) For Landsat sensors, this corresponds to the following bands: Landsat 5, NDVI = (Band 4 – Band 2) / (Band 4 + Band 2). Landsat 8, NDVI = (Band 5 – Band 3) / (Band 5 + Band 3). NDWI values ranges from -1 to +1. NDWI is a good proxy for plant water stress and therefore useful for drought monitoring and early warning. NDWI is sometimes alos refered as Normalized Difference Moisture Index (NDMI) Spring: March-April_May (_MAM) Summer: June-July-August (_JJA) Autumn: September-October-November (_SON) Winter: December-January-February (_DJF) Data format: GeoTiff This dataset has been generated with the Swiss Data Cube (http://www.swissdatacube.ch)

    Organizational unit
    Swiss Data Cube
    Type
    Dataset
    DOI
    10.26037/yareta:5575rk33s5ddnapmiq3ctkaqpq
    License
    Creative Commons Attribution 4.0 International
Publication date20/08/2020
Retention date19/08/2030
accessLevelPublicAccess levelPublic
SensitivityUndefined
duaNoneContract on the use of data
Contributors
  • Italiano, Julie
  • Chatenoux, Bruno orcid
  • Charlotte, Poussin
  • Giuliani, Gregory orcid
20
8
  • 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