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)