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: Dongdong Kong, R package: A state-of-the-art Vegetation Phenology extraction package, phenofit version 0.2.3, <>; 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: 0.2.5-2
Depends: R (≥ 3.1)
Imports: Rcpp, tibble, dplyr, purrr, stringr, tidyr, ggplot2, lubridate, data.table, spam, grid, gridExtra, magrittr, plyr, reshape2, zoo, optimx, ucminf, numDeriv, grDevices, utils, stats, shiny, jsonlite, foreach, iterators
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat
Published: 2019-06-07
Author: Dongdong Kong [aut, cre], Jianjian Cui [aut], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [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
Package source: phenofit_0.2.5-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: phenofit_0.2.5-2.tgz, r-oldrel: phenofit_0.2.5-2.tgz
Old sources: phenofit archive


Please use the canonical form to link to this page.