Package: RecoverMetricsR 0.1.0

RecoverMetricsR: Quantifying Post-Fire Spectral Recovery Metrics

Computes pixel-wise metrics describing post-disturbance spectral recovery from a yearly spectral-index time series. Metrics include disturbance magnitude (DM), an ordinary least squares (OLS) recovery slope, early- and late-period recovery rates, recovery-rate change, Relative Recovery Indicator (RRI), Ratio of Eighty Percent (R80P), and Year-on-Year recovery (YrYr). The RRI, R80P, and YrYr metrics are based on approaches described by Frazier et al. (2018) <doi:10.1016/j.rse.2017.11.007>. Threshold-based recovery-time approaches have been used to quantify post-fire vegetation recovery from spectral time series by Chompuchan and Lin (2017) <doi:10.1016/j.ecolind.2017.04.038>. Exponential recovery formulations have also been applied to post-fire vegetation time series by Gouveia et al. (2010) <doi:10.5194/nhess-10-673-2010>. Parametric recovery models, including exponential, logistic, and Gompertz formulations, are provided to characterize nonlinear post-disturbance recovery trajectories.

Authors:Hammadi Achour [aut, cre], Amal Daboussi [aut], Wahbi Jaouadi [aut]