calcFrazier: Calculate recovery metrics from a time series with known...

In RETURN-project/BenchmarkRecovery: Benchmark recovery indicators derived from remote sensing time series

Description

Calculate recovery metrics from a time series with known disturbance date. The calcFrazier function derives the RRI, R80P and YrYr recovery indicators, defined by Frazier et al. (2018). The indicators are originally developped for annual long-term time series of optical vegetation indices. Yet, in order to be able to derive the indicators as well for dense and/or short time series, a modified version is suggested. Here, the user can define the time period before, during and after the disturbance that is used to derive the indicators. To reduce the interference of the seasonal pattern of dense time series, the chosen time period should cover blocks of n years. (Frazier, R. J., Coops, N. C., Wulder, M. A., Hermosilla, T., & White, J. C. (2018). Analyzing spatial and temporal variability in short-term rates of post-fire vegetation return from Landsat time series. Remote Sensing of Environment, 205, 32-45.)

Usage

calcFrazier(tsio, tdist, obspyr, nPre, nDist, nPostMin, nPostMax)

Arguments

tsio	vector of observations (time series with a fixed observation frequency)
tdist	observation number of disturbance, indicating the timing of the disturbance
obspyr	number of observations per year
nPre	number of years prior to the disturbance used to calculate the pre-disturbance value
nDist	number of years used to quantify the time series value during the disturbance
nPostMin	the post-disturbance condition is quantified starting from nPostMin years after the disturbance
nPostMax	max number of years after the disturbance used to quantify the post-disturbance condition

Value

a list containing the RRI recovery indicator, R80p recovery indicator and YrYr recovery indicator

RETURN-project/BenchmarkRecovery documentation built on July 13, 2021, 5:47 p.m.