Compute radiometric indices.


This application computes radiometric indices using the relevant channels of the input image. The output is a multi band image into which each channel is one of the selected indices.


Input Image -in image Mandatory
Input image

Output Image -out image [dtype] Mandatory
Radiometric indices output image

Channels selection

Channels selection

Blue Channel int Default value: 1
Blue channel index

Green Channel int Default value: 1
Green channel index

Red Channel int Default value: 1
Red channel index

NIR Channel -channels.nir int Default value: 1
NIR channel index

Mir Channel -channels.mir int Default value: 1
Mir channel index

Available Radiometric Indices -list string1 string2... Default value: ndvi
List of available radiometric indices with their relevant channels in brackets:

  • Vegetation:NDVI - Normalized difference vegetation index (Red, NIR)

  • Vegetation:TNDVI - Transformed normalized difference vegetation index (Red, NIR)

  • Vegetation:RVI - Ratio vegetation index (Red, NIR)

  • Vegetation:SAVI - Soil adjusted vegetation index (Red, NIR)

  • Vegetation:TSAVI - Transformed soil adjusted vegetation index (Red, NIR)

  • Vegetation:MSAVI - Modified soil adjusted vegetation index (Red, NIR)

  • Vegetation:MSAVI2 - Modified soil adjusted vegetation index 2 (Red, NIR)

  • Vegetation:GEMI - Global environment monitoring index (Red, NIR)

  • Vegetation:IPVI - Infrared percentage vegetation index (Red, NIR)

  • Vegetation:LAIFromNDVILog - Leaf Area Index from log NDVI (Red, NIR)

  • Vegetation::LAIFromReflLinear - Leaf Area Index from reflectances with linear combination (Red, NIR)

  • Vegetation::LAIFromNDVIFormo - Leaf Area Index from Formosat 2 TOC (Red, NIR)

  • Water:NDWI - Normalized difference water index (Gao 1996) (NIR, MIR)

  • Water:NDWI2 - Normalized difference water index (Mc Feeters 1996) (Green, NIR)

  • Water:MNDWI - Modified normalized difference water index (Xu 2006) (Green, MIR)

  • Water:NDTI - Normalized difference turbidity index (Lacaux et al.) (Red, Green)

  • Soil:RI - Redness index (Red, Green)

  • Soil:CI - Color index (Red, Green)

  • Soil:BI - Brightness index (Red, Green)

  • Soil:BI2 - Brightness index 2 (NIR, Red, Green)

  • BuiltUp:ISU - Built Surfaces Index (NIR,Red)

Available RAM (MB) -ram int Default value: 256
Available memory for processing (in MB).


From the command-line:

otbcli_RadiometricIndices -in qb_RoadExtract.tif -list Vegetation:NDVI Vegetation:RVI Vegetation:IPVI -out RadiometricIndicesImage.tif

From Python:

import otbApplication

app = otbApplication.Registry.CreateApplication("RadiometricIndices")

app.SetParameterString("in", "qb_RoadExtract.tif")
app.SetParameterStringList("list", ['Vegetation:NDVI', 'Vegetation:RVI', 'Vegetation:IPVI'])
app.SetParameterString("out", "RadiometricIndicesImage.tif")


See also

otbVegetationIndicesFunctor, otbWaterIndicesFunctor and otbSoilIndicesFunctor classes