Select the input data

Choose the multiband raster layer. Make sure the input raster has the appropriate bands available.

Choose method to monitor vegetation

Choose the method to use to calculate the vegetation index layer. The different vegetation indexes can help highlight certain features or reduce various noise.

• Global Environmental Monitoring Index — GEMI is a nonlinear vegetation index for global environmental monitoring from satellite imagery. It is similar to NDVI, but it is less sensitive to atmospheric effects. It is affected by bare soil; therefore, it is not recommended for use in areas of sparse or moderately dense vegetation.
• Green Vegetation Index - Landsat TM — GVI was originally designed from Landsat MSS imagery but has been modified for use with Landsat TM imagery. It is also known as the Landsat TM Tasseled Cap green vegetation index. This monitoring index can also be used with imagery whose bands share the same spectral characteristics.
• Modified Soil Adjusted Vegetation Index — MSAVI2 is a vegetation index that tries to minimize bare soil influences of the SAVI method.
• Normalized Difference Vegetation Index — NDVI is a standardized index allowing you to generate an image displaying greenness, or relative biomass. This index takes advantage of the contrast of the characteristics of two bands from a multispectral raster dataset: the chlorophyll pigment absorptions in the red band and the high reflectivity of plant materials in the near infrared (NIR) band.
• Perpendicular Vegetation Index — PVI is similar to a difference vegetation index; however, it is sensitive to atmospheric variations. When using this method to compare different images, it should only be used on images that have been atmospherically corrected. This information can be provided by your data vendor.
• Soil-Adjusted Vegetation Index — SAVI is a vegetation index that attempts to minimize soil brightness influences using a soil-brightness correction factor. This is often used in arid regions where vegetative cover is low.
• Sultan's Formula — The Sultan's Formula process takes a six-band 8-bit image and applies a specific algorithm to it to produce a three-band 8-bit image. The resulting image highlights rock formations called ophiolites on coastlines. This formula was designed based on the TM and ETM bands of a Landsat 5 or 7 scene.
• Transformed Soil-Adjusted Vegetation Index — Transformed-SAVI is a vegetation index that attempts to minimize soil brightness influences by assuming the soil line has an arbitrary slope and intercept.
• Visible Atmospherically Resistant Index — VARI is a vegetation index that estimated vegetation presence using only information from the visible spectrum. This method requires bands in the red, green, and blue parts of the spectrum.

Specify indexes for the NIR band and Red band

Specify the band indexes for the NIR and Red bands.

Multiband satellite or aerial sensors capture information that is broken up into wavelength bands, which are identified with band indexes. This vegetation monitoring method requires you to specify the band indexes for the Near Infrared (NIR) and Red wavelength bands.

Specify indexes for the Red, Green, and Blue bands

Specify the band indexes for the Red, Green, and Blue bands.

Multiband satellite or aerial sensors capture information that is broken up into wavelength bands, which are identified with band indexes. The Visible Atmospherically Resistant Index requires you to specify the band indexes for the Red, Green, and Blue wavelength bands.

Specify indexes for the Blue, Red, NIR, SWIR-1, and Thermal bands

Specify the band indexes for the Blue, Red, Near Infrared (NIR), Shortwave Infrared (SWIR), and Thermal bands.

Multiband satellite or aerial sensors capture information that is broken up into wavelength bands, which are identified with band indexes. The Sultan's Formula index requires you to specify the band indexes for the Blue, Red, Near Infrared (NIR), Shortwave Infrared (SWIR), and Thermal wavelength bands.

Specify indexes of Blue, Green, Red, NIR, SWIR-1 and SWIR-2 bands

Specify the band indexes for the Blue, Green, Red, NIR, SWIR-1 and SWIR-2 bands.

Multiband satellite or aerial sensors capture information that is broken up into wavelength bands, which are identified with band indexes. The Green Vegetation Index requires you to specify the band indexes for the Blue, Green, Red, Near Infrared (NIR), Shortwave Infrared 1 (SWIR-1), and Shortwave Infrared 2 (SWIR-2) wavelength bands.

Slope of soil line

The slope of the soil line. The slope is the approximate linear relationship between the NIR and red bands on a scatterplot.

This parameter is only valid for the Transformed Soil-Adjusted Vegetation Index method.

Intercept

The value of the NIR when the reflection value of the red (Red) band is 0 for the particular soil lines.

(a = NIR - sRed) , when Red is 0.

This parameter is only valid for the Transformed Soil-Adjusted Vegetation Index method.

Amount of green vegetation cover

Specifies the amount of green vegetation cover, which is required by the Soil-Adjusted Vegetation Index method.

Valid values are as follows:

• 1 = Areas with no green vegetation cover
• 0.5 = Areas with moderate green vegetation cover
• 0 = Areas with high green vegetation cover

Adjustment factor

Specifies the adjustment factor to help minimize soil effect, which is required by the Transformed Soil-Adjusted Vegetation Index method. The default value is 0.08.

A low value means you are ignoring the soil effect. A high value means that the soil will affect your result.

Result layer name

The name of the layer that will be created in My Content and added to the map. The default name is based on the tool name and the input layer name. If the layer already exists, you will be prompted to provide another name.

You can specify the name of a folder in My Content where the result will be saved using the Save result in drop-down box. If you have the privileges to create both tiled and dynamic imagery layers, you can specify which layer type to generate in the output using the Save result as drop-down box.