How do you calculate NDWI from Sentinel-2?

How do you calculate NDWI from Sentinel-2?

The NDWI results from the following equation: Index = (NIR – MIR) / (NIR + MIR) using Sentinel-2 Band 8 (NIR) and Band 12 (MIR). The NDWI is a vegetation index sensitive to the water content of vegetation and is complementary to the NDVI. High NDWI values show a high water content of the vegetation.

What is the resolution of Sentinel-2?

12-bit
The radiometric resolution of Sentinel-2 is 12-bit. This gives a potential range of brightness levels from 0 – 4 095.

What is the formula for Ndvi?

NDVI = (NIR – Red) / (NIR + Red) The NDVI value varies from -1 to 1. Higher the value of NDVI reflects high Near Infrared (NIR), means dense greenery. Generally, we obtain following result: NDVI = -1 to 0 represent Water bodies.

What is the formula of NDVI?

NDVI is calculated as a ratio between the red (R) and near infrared (NIR) values in traditional fashion: (NIR – R) / (NIR + R) In Landsat 4-7, NDVI = (Band 4 – Band 3) / (Band 4 + Band 3).

What is normalized difference vegetation index ( SAVI ) for Sentinel 2?

AVI (Sentinel 2) = [B8 * (1 – B4)* (B8 – B4)] 1/3 SAVI is used to correct Normalized Difference Vegetation Index (NDVI) for the influence of soil brightness in areas where vegetative cover is low.

How is the advanced vegetation index ( Avi ) used?

Advanced Vegetation Index (AVI): Advanced Vegetation Index (AVI) is a numerical indicator, similar to NDVI, that uses the red and near-infrared spectral bands. Like NDVI, AVI is used in vegetation studies to monitor crop and forest variations over time.

Are there any spectral indices for Landsat and Sentinel?

The satellites better known as Landsat and Sentinel offer the opportunity to perform various operations with their bands, the result can be converted into a spectral index. This post compiles and conceptualizes the most common spectral indices used with the Sentinel and Landsat satellites.

Where can I Find remote sensing indices for Sentinel-2?

The following collection of remote sensing indices has been constructed from the information available at the Index database (IDB) specifically for Sentinel-2 satellite. Javascript functions have been parsed from the data automatically, so please note there might be errors and feedback will be appreciated.