CRAN/E | phenofit

phenofit

Extract Remote Sensing Vegetation Phenology

Installation

About

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.

github.com/eco-hydro/phenofit
Bug report File report

Key Metrics

Version 0.3.9
R ≥ 3.1
Published 2024-01-23 260 days ago
Needs compilation? yes
License GPL-2
License File
CRAN checks phenofit results

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Maintainer

Maintainer

Dongdong Kong

Authors

Dongdong Kong

aut / cre

Mingzhong Xiao

aut

Yongqiang Zhang

aut

Xihui Gu

aut

Jianjian Cui

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

phenofit-procedures
phenofit-MODIS

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

phenofit archive

Depends

R ≥ 3.1

Imports

Rcpp
purrr
dplyr ≥ 1.1.0
stringr
magrittr
lubridate
data.table
zoo
gridExtra
ggplot2
optimx
ucminf
numDeriv
methods
zeallot

Suggests

knitr
rmarkdown
testthat ≥ 2.1.0

LinkingTo

Rcpp
RcppArmadillo