NDBI

概要

Calculates the Normalized Difference Built-up Index (NDBI) from a multiband raster object and returns a raster object with the index values.

ディスカッション

The Normalized Difference Built-up Index (NDBI) uses the NIR and SWIR bands to emphasize manufactured built-up areas. It is ratio based to mitigate the effects of terrain illumination differences as well as atmospheric effects.

NDBI = (SWIR - NIR) / (SWIR + NIR)

For information about other multiband raster indexes, see the Band Arithmetic raster function.

The referenced raster dataset for the raster object is temporary. To make it permanent, you can call the raster object's save method.

構文

NDBI (raster, {swir_band_id}, {nir_band_id})

パラメーター	説明	データ タイプ
raster	The input raster.	Raster
swir_band_id	The band ID of the shortwave infrared band. The ID index uses one-based indexing. (デフォルト値は次のとおりです 6)	Integer
nir_band_id	The band ID of the near-infrared band. The ID index uses one-based indexing. (デフォルト値は次のとおりです 5)	Integer

戻り値

データ タイプ	説明
Raster	The output raster object with the NDBI values.

コードのサンプル

NDBI example

Calculates the Normalized Difference Built-up Index for a Landsat 8 image.

import arcpy

NDBI_raster = arcpy.ia.NDBI("Landsat8.tif", swir_band_id = 6, nir_band_id = 5)

NDBI example

Calculates the Normalized Difference Built-up Index for a Landsat 8 image.

# Import system modules
import arcpy
from arcpy.ia import *

# Set the analysis environments
arcpy.env.workspace = "C:/arcpyExamples/data"

# Set the local variables
in_raster = "landsat8.tif"

# Execute NDBI function
out_ndbi_raster = NDBI(in_raster, 6, 5)

# Save the output
out_ndbi_raster.save("C:/arcpyExamples/outputs/NDBI.tif")