# 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

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

## Arguments

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

Mehdi Sarparast

## References

 USGS burn severity - Overview of applied remote sensing principles.  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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14``` ```## 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.