Sample time series obtained from the dataset ts_smoothed,
created following the example provided in the fill_s2ts()
documentation.
It is used in the documentation of functions with takes a processed
time series as input, like cut_cycles(), fit_curve() and
aggregate_pheno().
data(ts_filled)Format
A s2ts object with 301 dates (in the period 2020-01-01 to
2020-09-30) and 2 IDs (corresponding to sampleroi polygons).
Examples
data(ts_filled)
print(ts_filled, topn = 5) # standard print
#> An interpolated s2ts time series with 301 dates and 2 IDs.
#> Date Orbit Sensor 1 2
#> 1: 2020-01-04 022 2B 0.1160602 ○ 0.1740709 ○
#> 2: 2020-01-05 <NA> <NA> 0.1207222 ~ 0.1749062 ~
#> 3: 2020-01-06 <NA> <NA> 0.1247380 ~ 0.1759228 ~
#> 4: 2020-01-07 <NA> <NA> 0.1281397 ~ 0.1771040 ~
#> 5: 2020-01-08 <NA> <NA> 0.1309599 ~ 0.1784328 ~
#> ---
#> 297: 2020-10-26 <NA> <NA> NA ~ NA ~
#> 298: 2020-10-27 <NA> <NA> NA ~ NA ~
#> 299: 2020-10-28 <NA> <NA> NA ~ NA ~
#> 300: 2020-10-29 <NA> <NA> NA ~ NA ~
#> 301: 2020-10-30 022 2B NA ~ NA ~
#>
#> Quality flags: ● [1] ◕ [0.9,1) ◑ [0.75,0.9) ◔ [0.5,0.75) ○ [0,0.5)
#> Interpolated values are marked with "~".
head(as.data.frame(ts_filled)) # see content
#> id date orbit sensor value qa rawval interpolated
#> 1 1 2020-01-04 022 2B 0.1160602 0.33 0.11613333 FALSE
#> 2 1 2020-01-05 <NA> <NA> 0.1207222 NA NA TRUE
#> 3 1 2020-01-06 <NA> <NA> 0.1247380 NA NA TRUE
#> 4 1 2020-01-07 <NA> <NA> 0.1281397 NA NA TRUE
#> 5 1 2020-01-08 <NA> <NA> 0.1309599 NA NA TRUE
#> 6 1 2020-01-09 022 2A 0.1332310 0.00 0.02017083 TRUE
plot(ts_filled)
