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.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
dplyr, ggplot2, grid, rlang, stats, terra (≥ 1.8) |
| Suggests: |
knitr, rmarkdown, sf, testthat (≥ 3.0.0) |
| Published: |
2026-10-15 |
| DOI: |
10.32614/CRAN.package.RecoverMetricsR |
| Author: |
Hammadi Achour 
[aut, cre],
Amal Daboussi [aut],
Wahbi Jaouadi [aut] |
| Maintainer: |
Hammadi Achour <hammadi.achour at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
RecoverMetricsR results |
Documentation:
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