phenofit: Extract Remote Sensing Vegetation Phenology

The merits of 'TIMESAT' and 'phenopix' are adopted. Besides, a simple and growing season dividing method and a practical snow elimination method based on Whittaker were proposed. 7 curve fitting methods and 4 phenology extraction methods were provided. Parameters boundary are considered for every curve fitting methods according to their ecological meaning. And 'optimx' is used to select best optimization method for different curve fitting methods. Reference: Kong, D., (2020). R package: A state-of-the-art Vegetation Phenology extraction package, phenofit version 0.3.1, <doi:10.5281/zenodo.5150204>; Kong, D., Zhang, Y., Wang, D., Chen, J., & Gu, X. (2020). Photoperiod Explains the Asynchronization Between Vegetation Carbon Phenology and Vegetation Greenness Phenology. Journal of Geophysical Research: Biogeosciences, 125(8), e2020JG005636. <doi:10.1029/2020JG005636>; Kong, D., Zhang, Y., Gu, X., & Wang, D. (2019). A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 155, 13–24; Zhang, Q., Kong, D., Shi, P., Singh, V.P., Sun, P., 2018. Vegetation phenology on the Qinghai-Tibetan Plateau and its response to climate change (1982–2013). Agric. For. Meteorol. 248, 408–417. <doi:10.1016/j.agrformet.2017.10.026>.

Version: 0.3.9
Depends: R (≥ 3.1)
Imports: Rcpp, purrr, dplyr (≥ 1.1.0), stringr, magrittr, lubridate, data.table, zoo, gridExtra, ggplot2, optimx, ucminf, numDeriv, methods, zeallot
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2024-01-23
DOI: 10.32614/CRAN.package.phenofit
Author: Dongdong Kong [aut, cre], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [aut], Jianjian Cui [aut]
Maintainer: Dongdong Kong <kongdd.sysu at>
License: GPL-2 | file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: phenofit results


Reference manual: phenofit.pdf
Vignettes: phenofit-procedures


Package source: phenofit_0.3.9.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): phenofit_0.3.9.tgz, r-oldrel (arm64): phenofit_0.3.9.tgz, r-release (x86_64): phenofit_0.3.9.tgz, r-oldrel (x86_64): phenofit_0.3.9.tgz
Old sources: phenofit archive


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