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The RRI, R80P, and YrYr metrics are based on approaches\ndescribed by Frazier et al. (2018)\n. Threshold-based recovery-time\napproaches have been used to quantify post-fire vegetation\nrecovery from spectral time series by Chompuchan and Lin (2017)\n. Exponential recovery\nformulations have also been applied to post-fire vegetation\ntime series by Gouveia et al. (2010)\n. Parametric recovery models,\nincluding exponential, logistic, and Gompertz formulations, are\nprovided to characterize nonlinear post-disturbance recovery\ntrajectories.", "License": "GPL-3", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "RoxygenNote": "7.3.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-16 09:08:14 UTC", "User": "root" }, "Author": "Hammadi Achour [aut, cre] (ORCID:\n), Amal Daboussi [aut],\nWahbi Jaouadi [aut]", "Maintainer": "Hammadi Achour ", "Config/pak/sysreqs": "libgdal-dev gdal-bin libgeos-dev libproj-dev\nlibsqlite3-dev", "Repository": "https://hammadi-achour.r-universe.dev", "Date/Publication": "2026-10-15 16:10:21 UTC", "RemoteUrl": "https://github.com/cran/RecoverMetricsR", "RemoteRef": "HEAD", "RemoteSha": "0d70cb68f11817a4647048b8c8b332ec6ab6562a", "_user": "hammadi-achour", "_type": "src", "_file": "RecoverMetricsR_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/ad98471cf1f95bfa5f83f9e8697b2bfc2522acc6e56e74742301a9b766daad43", 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