st_poi()
(pseudo-centroid)detect_forages()
(experiment)naming_convention
to various functionscut_cycles()
aggregate_pheno()
master
to main
according to
Git and Branch NamingFirst {sen2rts}
beta version.
assign_season()
.PhenoDeriv()
(function imported from package phenopix
) to support
the definition of relative slopes
(this feature will be better documented in future).cut_cycles()
, bot methods based on argument min_h
and on Meroni et al.
(2021) can now be used.qa < min_qa
are removed and not yet interpolated
(no more necessary).
Problem still present: in Savitzky-Golay filter, left and right borders are
interpolated without considering the point quality.smooth_s2ts()
, add the possibility to skip spike removal.smooth_s2ts()
, exclude low values before removing spikes (to avoid errors).{ggplot2}
from suggested to imported dependencies (so to facilitate
tests and examples).read_s2cube()
is now load_s2paths()
.smooth_s2ts()
, sg_daywindow = 15
instead than 9.fit_curve()
: add value "no"
for argument fit
(useful to skip
interpolation to extract phenological metrics with TRS).aggregate_pheno()
to aggregate phenological metrics.assign_season()
to assign a season label to cycles.fit
values in fit_curve()
, so to use the secondary method
in case of failure of the first.cut_cycles()
to follow Meroni et al. (2021).cut_seasons()
-> cut_cycles()
) and parameters.PhenoTrs()
to ensure sos
< pop
< eos
.year
is added to outputs of functions since cut_cycles()
.cut_seasons()
: cut Sentinel-2 time series into separate seasons,
detecting dates of cuts and of peaks;fit_curve()
: fit a curve using a parametric function from
phenopix::greenProcess()
;extract_pheno()
: extract phenological metrics from a fitted time series
using methods from phenopix::PhenoExtract()
;filter_seasons()
: filter detected seasons basing on dates of begin /
end / peak, and associate each season with a reference year.qa_min
are no more rescaled to 0-1; values with < qa_min
are no more removed, but replaced with a linear interpolation.scl_weights()
default values are slightly changed according to previous change.qa
.extract_s2ts()
on polygon features, best values of each polygon can be
used instead of the weighted average.max_na_days
and method
to fill_s2ts()
s2ts
First package release (still in alpha version) including functions planned for first milestone:
read_s2cube()
to build data cubes from Sentinel-2 archives;extract_s2ts()
to build raw time series in s2ts
format;smooth_s2ts()
to smooth and filter time series;fill_s2ts()
to fill non equally-temporally weighted time series.Add the following code to your website.
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