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, <https://github.com/kongdd/phenofit>; 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>.

Getting started

Package details

AuthorDongdong Kong [aut, cre], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [aut], Jianjian Cui [aut]
MaintainerDongdong Kong <kongdd.sysu@gmail.com>
LicenseGPL-2 | file LICENSE
Version0.2.7
URL https://github.com/kongdd/phenofit
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("phenofit")

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phenofit documentation built on April 2, 2020, 5:07 p.m.