How to Create NDVI Maps in ArcGIS

NDVI

NDVI measures “greenness” and healthy vegetation. In this guide, we teach you how to calculate NDVI in the ArcGIS Image Analysis Toolbar Simply, follow these 4 steps.

We use Normalized Difference Vegetation Index or NDVI maps to assess vegetation health. For example, agriculture, forestry, and ecology all use it.

In general, NDVI uses two properties to quantify healthy vegetation. It uses near-infrared (NIR) because vegetation strongly reflects it. And it also uses red light, because plants strongly absorb it. For this same reason, this is why our eyes see vegetation as the color green.

Now that you have a bit of background on NDVI, let’s go through all the steps on what you need to create NDVI maps in ArcGIS.

How to create NDVI maps in ArcMap

You can create NDVI maps with the image analysis toolbar in ArcGIS 10. All you need is imagery with red and NIR bands. For example, you can download Sentinel-2 or Landsat data from this list of 15 free satellite imagery sources.

In this tutorial, we want to classify high and low vegetation. Pixels with high NDVI values indicate high vegetation or chlorophyll. Whereas, low NDVI values generally mean less vegetation. Furthermore, negative NDVI values are a good indicator that it’s classified as water.

In this NDVI example, we use Worldview-2 (WV-2) which is multispectral imagery. We say multispectral because it has multiple bands like red, green, blue, and near-infrared (NIR). The band configuration for WV-2 is:

Band Number Band Description
Band 1 Coastal
Band 2 Blue
Band 3 Green
Band 4 Yellow
Band 5 Red
Band 6 Red Edge
Band 7 Near Infrared 1 (NIR-1)
Band 8 Near Infrared 2 (NIR-2)

Let’s examine this agricultural area with center pivot irrigation. As this type of irrigation rotates on a pivot in a circle, it creates these circular crop patterns.

If you want to display true color, select the red, green, and blue bands in layer properties. We say true color because it is the same as how our eyes see. In the case of Worldview-2, this is would be band 5 as red, band 3 as green, and band 2 as blue.

pivot irrigation rgb

But if you want to display color infrared, you need band 7 as the red channel, band 5 as the green channel, and band 3 as the blue channel. We say color infrared because near-infrared is in the red channel. As you can see below, the pivot irrigation vegetation should already be shouting out at you in bright red!

pivot irrigation color infrared

Now, let’s go through the steps for how to create an NDVI map.

Step 1. Enable Image Analysis Toolbar

First, enable the Image Analysis Toolbar (Windows > Image Analysis). The image analysis window will be displayed in ArcMap.

Image Analysis Toolbar

Step 2. Check Scientific Output Properties

Second, under image analysis options, select the red band and the near-infrared band.

Image analysis toolbar options

For Worldview-2 imagery, under the NDVI tab – the red band is “band 5” and the NIR band is “band 7”.

NDVI band selection

Optionally select “Scientific Output” so your values range from -1 to 1.

Step 3. Click the NDVI Icon

Highlight your layer by clicking it.

Highlight your image

Under properties, Select the NDVI icon which looks like a leaf.

NDVI button

This will create a temporary layer in the table of contents. Bright green indicates high NDVI. Whereas red has low NDVI.

pivot irrigation ndvi

Step 4. Export Raster

Highlight the new NDVI layer that you want to export by selecting it in the image analysis toolbar.

Highlight NDVI raster

Right-click layer, and export raster to save into memory.

Export raster

High positive NDVI values (green) mean high vegetation. While water usually has negative NDVI values (yellow and red). In general, urban features usually are near zero.

How to use NDVI maps

Normalized Difference Vegetation Index (NDVI) uses the NIR and red channels to measure healthy vegetation. If you want to calculate it manually, this is the formula you can use.

ndvi formula

NDVI always generates a value between -1 and +1. It’s really just a standardized way to measure healthy vegetation. But how do you apply NDVI as a remote sensing application?

In the example above, agriculture uses NDVI for precision farming. If you look very closely at the NDVI image, you can see where crop growth isn’t as good. In this case, farmers can increase crop yield by knowing exactly where unhealthy vegetation is. Here are other GIS applications on the farm.

For over 20 years, AVHRR has recorded NDVI. Because we know how NDVI changes over time, this helps us understand vegetation growth on Earth. In forestry, this helps them understand leaf area index, forest supply, and fire danger

READ MORE: 100 Earth Shattering Remote Sensing Applications & Uses

You may also like...