NBR: Normalized Burn Ratio

In LSRS: Land Surface Remote Sensing

Description

The Normalized Burn Ratio (NBR) was designed to highlight burned areas and estimate fire severity. The formula is similar to NDVI, except that it uses near-infrared (NIR) and shortwave-infrared (SWIR) wavelengths.

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

Usage

NBR(a = "NIR", b = "SWIR")

Arguments

a	NIR satellite band (format:TIF)
b	SWIR satellite band (format:TIF)

Author(s)

Mehdi Sarparast

References

[1] USGS burn severity - Overview of applied remote sensing principles. [2] Norton, J.M. 2006. The use of remote sensing indices to determine wildland burn severity in semiarid sagebrush steppe rangelands using Landsat ETM+ and SPOT 5. MS Thesis, Idaho State University.

Examples

## The function is currently defined as
function (a = "NIR", b = "SWIR")
{
    name=NBR(a,b)
areaXY <-c(xmin, xmax, ymin, ymax)
cropXY <- crop(name, areaXY)
plot(cropXY,lwd=4,
     main="NBR",
     xlab="easting", ylab="northing")
hist(cropXY,
     main="Histogram of NBR"
     ,
     xlab="NBR",col="red", ylab="Frequency of Pixels")
     }

Example output

function (a = "NIR", b = "SWIR") 
{
    name = NBR(a, b)
    areaXY <- c(xmin, xmax, ymin, ymax)
    cropXY <- crop(name, areaXY)
    plot(cropXY, lwd = 4, main = "NBR", xlab = "easting", ylab = "northing")
    hist(cropXY, main = "Histogram of NBR", xlab = "NBR", col = "red", 
        ylab = "Frequency of Pixels")
}

LSRS documentation built on May 1, 2019, 7:06 p.m.