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) . Threshold-based recovery-time approaches have been used to quantify post-fire vegetation recovery from spectral time series by Chompuchan and Lin (2017) . Exponential recovery formulations have also been applied to post-fire vegetation time series by Gouveia et al. (2010) . Parametric recovery models, including exponential, logistic, and Gompertz formulations, are provided to characterize nonlinear post-disturbance recovery trajectories.


Reference manual

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install.packages("RecoverMetricsR")

0.1.0 by Hammadi Achour, 5 hours ago


Browse source code at https://github.com/cran/RecoverMetricsR


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


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, ggplot2, grid, rlang, stats, terra

Suggests knitr, rmarkdown, sf, testthat


See at CRAN