topocorr: Topographic correction of remote sensing data.

In landsat: Radiometric and Topographic Correction of Satellite Imagery

Topographic correction of remote sensing data.

Description

Implements several different methods for topographic correction of remote sensing data.

Usage

topocorr(x, slope, aspect, sunelev, sunazimuth, method = "cosine", na.value = NA,
	GRASS.aspect=FALSE, IL.epsilon=0.000001)

Arguments

x	Image to be corrected, in matrix, data frame, or SpatialGridDataFrame format.
slope	Slope image of same size and resolution as x.
aspect	Aspect image of same size and resolution as x.
sunelev	Sun elevation in degrees.
sunazimuth	Sun azimuth in degrees.
method	Topographic correction method to be used. There are currently eight methods available: "cosine", "improvedcosine", "minnaert", "ccorrection" (first four from Riano et al. 2003), "minslope" (Minnaert with slope correction, also from Riano et al. 2003), "gamma" (from Richter et al. 2009), "SCS" (Gu and Gillespie 1998, Gao and Zhang 2009), "illumination" (uncorrected illumination).
na.value	Value to use for missing data.
GRASS.aspect	Whether aspect is measured according to GRASS defaults (counterclockwise from east) or is measured clockwise from north. If GRASS.aspect=TRUE, aspect is converted to clockwise from north before analysis.
IL.epsilon	If IL == 0 (Illumination), some methods will give a topographically-corrected value of Inf due to division by zero. If desired, adding a small increment to zero values eliminates this.

Details

Uses one of the available topographic correction methods to compensate for the effects of slope and aspect on reflectance from the land surface.

Value

Returns a topographically-corrected image in the same format as x.

Author(s)

Sarah Goslee

References

Gao, Y. & Zhang, W. 2009. LULC classification and topographic correction of Landsat-7 ETM+ imagery in the Yangjia River Watershed: the influence of DEM resolution. Sensors 9:1980-1995.

Gu, D. & Gillespie, A. 1998. Topographic normalization of Landsat TM images of forest based on subpixel sun-canopy-sensor geometry. Remote Sensing of Environment 64:166-175.

Riano, D., Chuvieco, E., Salas, J. & Aguado, I. 2003. Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types. IEEE Transactions on Geoscience and Remote Sensing 41:1056-1061.

Richter, R., Kellenberger, T. & Kaufmann, H. 2009. Comparison of topographic correction methods. Remote Sensing 1:184-196.

See Also

slopeasp

Examples

	# require slope and aspect for topographic correction
	data(dem)
	dem.slopeasp <- slopeasp(dem)

	# use cosine method of topographic correction
	data(july3)
	july3.topo <- topocorr(july3, dem.slopeasp$slope, dem.slopeasp$aspect, 
		sunelev=61.4, sunazimuth=125.8)

landsat documentation built on Aug. 25, 2023, 1:07 a.m.