Radiometric Vegetation Application

Brief Description

Compute radiometric indices based on Red and NIT channels.

Tags

Vegetation Indices, Feature Extraction

Long Description

This application computes radiometric indices that uses red and NIR channels of the input image. The output image is a multi channel one which each channel is one of the selected index. The channel order is the one of the selected indices.

Parameters

• [param] Input Image (-in): Input image, with at least red and NIR channels

• [param] Output Image (-out): Radiometric indices output image

• [param] Available RAM (-ram): Available RAM

• [group] Channels selection (-channels): Channels selection

  • [param] Red Channel (-red): Red channel index

  • [param] NIR Channel (-nir): NIR channel index




• [group] Indices selection (-index): List of available radiometric indices

  • [param] NDVI (-ndvi): Normalized Difference Vegetation Index

  • [param] TNDVI (-tndvi): Transformed Normalized Difference Vegetation Index

  • [param] RVI (-rvi): Ratio Vegetation Index

  • [param] SAVI (-savi): Soil Adjusted Vegetation Index

  • [param] TSAVI (-tsavi): Transformed Soil Adjusted Vegetation Index

  • [param] MSAVI (-msavi): Modified Soil Adjusted Vegetation Index

  • [param] MSAVI2 (-msavi2): Modified Soil Adjusted Vegetation Index 2

  • [param] GEMI (-gemi): Global Environment Monitoring Index

  • [param] IPVI (-ipvi): Infrared Percentage Vegetation Index

  • [param] LAIFromNDVILog (-laindvilog): Leaf Area Index from NDVI using a logarithmic relationship

  • [param] LAIFromReflLinear (-lairefl): Leaf Area Index from reflectance using a linear relationship

  • [param] LAIFromNDVIFormo (-laindviformo): Leaf Area Index from reflectance using using formula a*(exp(nir-red)/((red+nir)*b)-exp(c*b)), with a = 0.1519 b = 3.9443 c = 0.13. This formula is only valid for Formosat 2 reflectance TOCa linear relationship.

Limitations

None

Authors

OTB-Team

See also

otbVecgetationIndices class

Example of use

• Parameters to set value:

• Input Image: qb_RoadExtract.img

• Output Image: RadiometricVegetationIndicesImages.tif

• NDVI: true

• RVI: true

• IPVI: true

• Command line to execute:

otbcli_RadiometricVegetationIndices -in qb_RoadExtract.img -out RadiometricVegetationIndicesImages.tif -index.ndvi true -index.rvi true -index.ipvi true