.. _RadiometricIndices: 

RadiometricIndices
==================





Compute radiometric indices.

Description
-----------

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.



Parameters
----------

.. contents:: :local:

.. |br| raw:: html

   <br />

.. |em| raw:: html

   &emsp;

**Input Image** :code:`-in image` *Mandatory* |br|
Input image

**Output Image** :code:`-out image [dtype]` *Mandatory* |br|
Radiometric indices output image

Channels selection
^^^^^^^^^^^^^^^^^^



Channels selection

**Blue Channel** :code:`-channels.blue int` *Default value: 1* |br|
Blue channel index

**Green Channel** :code:`-channels.green int` *Default value: 1* |br|
Green channel index

**Red Channel** :code:`-channels.red int` *Default value: 1* |br|
Red channel index

**NIR Channel** :code:`-channels.nir int` *Default value: 1* |br|
NIR channel index

**Mir Channel** :code:`-channels.mir int` *Default value: 1* |br|
Mir channel index



------------

**Available Radiometric Indices** :code:`-list string1 string2...` *Default value: ndvi* |br|
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)** :code:`-ram int` *Default value: 256* |br|
Available memory for processing (in MB).



Examples
--------

From the command-line:

.. code-block:: bash

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


From Python:

.. code-block:: 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")

	app.ExecuteAndWriteOutput()





See also
--------

| otbVegetationIndicesFunctor, otbWaterIndicesFunctor and otbSoilIndicesFunctor classes