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Sentinel-2 images - using multi-spectral data


#1

The Sentinel-2 satellite, run by the European Space Agency, now allow us to see recent snapshots across Australia, updated every few days, in the NationalMap.

For further definition, users can choose from the styles menu to view multi-spectral data – now 15 bands in the visible, near-infrared (NIR), and shortwave infrared (SWIR) part of the spectrum.

There are a few views you can render. The following styles are now available (as from 19 October 2018) in National Map for our Sentinel 2 NRT WMS:

a. Simple RGB; Shows the satellite data as a human observer would see it, a natural colour rendition of red, green and blue wavelengths.

b. False colour – Green, SWIR, NIR;

c. NDVI – (NIR – Red) / (NIR + Red) NDVI stands for Normalised Difference Vegetation Index - a derived index that correlates well with the existence of vegetation;*. Useful for examining drought-affected areas.

d. NDWI – (Green – NIR) / (Green + NIR) NDWI stands for Normalised Difference Water Index - a derived index that correlates well with the existence of water;. Useful for viewing bodies of water and assessing flood impact areas.

e. Narrow Blue or Coastal Aerosol 440nm response grayscale;

f. Blue 490nm response grayscale;

g. Green 560nm response grayscale;

h. Red 670nm response grayscale;

i. Vegetation Red Edge 710nm response grayscale;

j. Vegetation Red Edge 740nm response grayscale;

k. Vegetation Red Edge 780nm response grayscale;

l. Near Infrared (NIR) 840nm response grayscale;

m. Narrow Near Infrared 870nm response grayscale;

n. Shortwave Infrared (SWIR) 1610nm response grayscale;

o. Shortwave infrared (SWIR) 2190nm response grayscale.

Let us know if you find anything interesting you’d like to share. Just use the share link in the top left of the NationalMap and send it our way!

Last updated: 22 October 2018.

:heart: DTA #nationalmap


#2

That is cool, thanks for the share


#3

I wonder if we could use this information to supplement our AG Census. Is there a common method for determining crop type from satellite data?