library(rTIMESAT)
library(phenofit)
{
options <- list(
ylu = c(0, 9999), # Valid data range (lower upper)
qc_1 = c(0, 0, 1), # Quality range 1 and weight
qc_2 = c(1, 1, 0.5), # Quality range 2 and weight
qc_3 = c(2, 3, 0.2), # Quality range 3 and weight
A = 0.1, # Amplitude cutoff value
output_type = c(1, 1, 0), # Output files (1/0 1/0 1/0), 1: seasonality data; 2: smoothed time-series; 3: original time-series
seasonpar = 1.0, # Seasonality parameter (0-1)
iters = 2, # No. of envelope iterations (3/2/1)
FUN = 2, # Fitting method (1/2/3): (SG/AG/DL)
half_win = 7, # half Window size for Sav-Gol.
meth_pheno = 1, # (1: seasonal amplitude, 2: absolute value, 3: relative amplitude, 4: STL trend)
trs = c(0.5, 0.5) # Season start / end values
)
data("MOD13A1")
sitename <- "US-KS2"
# sitename <- "CA-NS6"
nptperyear <- 23
# nptperyear <- 46
d <- subset(MOD13A1$dt, date >= as.Date("2004-01-01") & date <= as.Date("2010-12-31") & site == sitename)
r <- TSF_main(
y = d$EVI / 1e4, qc = d$SummaryQA * 1.0, nptperyear,
jobname = sitename, options, cache = FALSE
)
print(str(r))
}
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