phenofit (0.2.4)

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 (19822013). Agric. For. Meteorol. 248, 408417. .

Maintainer: Dongdong Kong
Author(s): Dongdong Kong [aut, cre], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [aut], Jianjian Cui [aut]

License: GPL-2 | file LICENSE

Uses: data.table, dplyr, DT, foreach, ggplot2, gridExtra, iterators, jsonlite, lubridate, magrittr, numDeriv, optimx, plyr, purrr, Rcpp, readr, reshape2, shiny, spam, stringr, tibble, tidyr, ucminf, zoo, testthat, knitr, rmarkdown

Released 11 months ago.