A state-of-the-art remote sensing vegetation phenology extraction
package: phenofit
phenofit
combine merits of TIMESAT and phenopixoptimx
is used to select the best optimization method for different
curve fitting methods.Task lists
phenofit
in multiple growing seasons
regions (e.g., the North China Plain);Rcpp
improve double logistics optimization efficiency by 60%;You can install phenofit from github with:
# install.packages("remotes")
remotes::install_github("eco-hydro/phenofit")
Users can through the following options to improve the performance of phenofit in multiple growing season regions:
Users can decrease those three parameters nextend
, minExtendMonth
and
maxExtendMonth
to a relative low value, by setting option
set_options(fitting = list(nextend = 1, minExtendMonth = 0, maxExtendMonth = 0.5))
.
Use wHANTS
as the rough fitting function. Due to the nature of Fourier
functions, wHANTS
is more stable for multiple growing seasons, but it is
less flexible than wWHIT.
wHANTS
is suitable for regions with the static
growing season pattern across multiple years, wWHIT
is more suitable for
regions with the dynamic growing season pattern. Dynamic growing season
pattern is the most challenging task, which also means that a large
uncertainty might exist.
When using wHANTS
as the rough fitting function, r_min
is suggested to be
set as zero.
[1] Kong, D., McVicar, T. R., Xiao, M., Zhang, Y., Peña-Arancibia, J. L., Filippa, G., Xie, Y., Gu, X. (2022). phenofit: An R package for extracting vegetation phenology from time series remote sensing. Methods in Ecology and Evolution, 13, 1508-1527. https://doi.org/10.1111/2041-210X.13870
[2] 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. https://doi.org/10.1029/2020JG005636
[3] 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.
[4] Kong, D., (2020). R package: A state-of-the-art Vegetation Phenology extraction package,
phenofit
version 0.3.5, https://doi.org/10.5281/zenodo.6320537[5] 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). Agricultural and Forest Meteorology. 248, 408–417. https://doi.org/10.1016/j.agrformet.2017.10.026
Keep in mind that this repository is released under a GPL2 license, which permits commercial use but requires that the source code (of derivatives) is always open even if hosted as a web service.
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.