bise1: Best index slope extraction

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Reduces noise in NDVI time-series.

Usage

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bise1(x, slidingperiod)

Arguments

x

An object of class ‘NDVI’ containing raw NDVI values.

slidingperiod

Sliding Period of the BISE-algorithm, default value is 40.

Details

Knowledge regarding the phenological cycle in temperate climates and its temporal evolution is used to detect and eliminate cloud contaminated observations. As the algorithm is searching forward within daily NDVI observations over 1 year, decreases are only accepted if no higher value is found within a so called sliding period. A period of 40 days proved best for our study area but might have to be modified when study areas in different climates are investigated.

Value

An object of class ‘NDVI’ containing raw and corrected NDVI values.

Author(s)

Daniel Doktor, Maximilian Lange

References

Viovy, N., Arino, O. and Belward, A.S. (1992). The Best Index Slope Extraction (BISE) - a method for reducing noise in NDVI time-series. International Journal of Remote Sensing, 13, 1585-1590.

See Also

modelNDVI, NDVI

Examples

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	# load data
	data(avhrr)

	# create NDVI object
	ndvi <- new("NDVI", values=avhrr.ndvi/10000, year=as.integer(1995))

	# correct values (bise)
	ndvi.bise <- bise1(ndvi, slidingperiod=40)

	#plot
	plot(ndvi.bise)


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