Band Combinations Basics with Sentinel 2 Data in ArcGIS Pro
Sentinel-2 is an mission sponsored by ESA of two twin satellites S2A and S2B. These satellites orbit the Earth and complete a full circle every 10 days. Although both satellites fly in the same orbit, they are offset by 180°. As a result, they both work together and deliver new images every five days. Both satellites are equipped with a powerful, high-resolution multispectral instrument. Each spectral band represents a specific wavelength of the electromagnetic spectrum. The data used here comes from the Copernicus Open Access Hub (https://scihub.copernicus.eu/dhus/#/home).
From bands B02 (Blue), B03 (Green), B04 (Red), B08 (NIR 1), B08A (Narrow NIR or NIR 2), B11 (SWIR 1) and B12 (SWIR 2) I created a band composite in ArcGIS Pro. The results are shown below.
ArcGIS Pro
Keywords:
Remote Sensing
Sentinel 2
NDVI
Band Combinations
Natural Color with Bands B04 - B03 - B02
The combination of the red, green and blue bands of the multiband image is the most classic one. The bands used in the composite represent the visible range of the electromagnetic spectrum.
Color Infrared with Bands B08 – B04 – B03
Color infrared is the most common and best known false color composite. Here generated by the combination of the NIR, red and green bands of the multiband image.
Healthy Vegetation with Bands B8A – B11 – B02
The Composite band for Healthy Vegetation can be created by combining the NIR 2, SWIR 1, and Blue bands of the multiband image.
Agriculture with Bands B11 – B8A – B02
The Agriculture band composite can be created by combining the SWIR 1, NIR 2 and Blue bands of the multiband image.
Snow and Clouds with Bands B02 – B11 – B12
A band composite for snow and clouds can be created by combining the Blue, SWIR 1 and SWIR 2 bands of the multiband image.
Atmospheric Penetration with Bands B12 – B11 – B8A
With the bands SWIR 2, SWIR 1 and NIR 2 of the multiband image a band composite for atmospheric penetration can be created.
NDVI (Normalized Difference Vegetation Index) with NIR and Red
NDVI is a standardized vegetation index and is calculated based on remote sensing data. Typically, it is used to generate an image that indicates green cover or relative biomass. The NDVI uses the contrast of the properties of two bands, the chlorophyll pigment absorption in the red band and the high reflectivity of plant materials in the NIR band.
MNDWI (Modified Normalized Difference Water Index) with Green and SWIR-1
The MNDWI is an index that uses the green and SWIR bands to highlight open water areas.
Comparison NDVI and MNDWI
SAVI (Soil-Adjusted Vegetation Index) with NIR-1 and Red
The SAVI is a vegetation index that attempts to minimize the influences of ground brightness by applying a correction factor for ground brightness. Often used in arid regions or desert areas where vegetation cover is low.
Just a small project for dealing with the tapes of Sentinel 2 data. Especially visually I found the results very appealing :)