options_TSM <- list(
version = "Settings file version: 3.3",
job_name = "TSM", # Job_name (no blanks)
is_image = 0, # Image /series mode (1/0)
is_trend = 0, # 1 = STL trend fitting activated. Overrules choice of fitting method (row 32).
has_QC = 1, # 1 = use quality data, 0 = do not use quality data
file_y = "", # Data file list/name
file_qc = "", # Mask file list/name
image_type = 1, # Image file type
byte_order = 0, # Byte order (1/0)
image_dim = c(1, 1), # Image dimension (nrow ncol)
win_process = c(1, 1, 1, 1), # Processing window (start row end row start col end col)
nyear_and_nptperear = c(17, 23), # No. years and no. points per year
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
debug = 0, # Debug flag (3/2/1/0)
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
has_lc = 0, # Use land cover (1/0)
file_lc = "", # Name of landcover file
spike_meth = 1, # Spike method (3/2/1/0)
spike_sd = 2.0, # Spike value
stl_stiffness = 3.0, # STL stiffness value (1-10)
n_lcs = 1, # No. of landcover classes
# ************, Separator
lc_code = 1, # Land cover code for class 1
seasonpar = 1.0, # Seasonality parameter (0-1)
iters = 2, # No. of envelope iterations (3/2/1)
adapt = 2, # Adaptation strength (1-10)
force_min = c(0, -9999), # Force minimum (1/0) and value
FUN = 2, # Fitting method (1/2/3): (SG/AG/DL)
wFUN = 1, # Reserved, Weight update method
half_win = 7, # Window size for SG.
par_1 = 0, # Reserved
par_2 = 0, # Reserved
meth_pheno = 1, # Season start / end method (4/3/2/1)
trs = c(0.5, 0.5) # Season start / end values
)
# {Separator. This row contains a separator. On the rows following the separator
# parameters are given that are specific to each land cover class. If no land
# cover map is used all time-series will be treated as belonging to the first
# class.}
options_TSM_help <- c(
"",
" % Job_name (no blanks) ",
"\t\t\t\t% Image /series mode (1/0) ",
"\t\t\t\t% 1 = STL trend fitting activated. 0 = overrules choice of fitting method (FUN).",
"\t\t\t\t% 1 = use quality data, 0 = do not use quality data",
" % Data file list/name ",
" % Mask file list/name ",
"\t\t\t\t% Image file type ",
"\t\t\t\t% Byte order (1/0) ",
"\t\t\t\t% Image dimension (nrow ncol) ",
"\t\t\t% Processing window (start row end row start col end col) ",
"\t\t\t% No. years and no. points per year ",
"\t\t\t% Valid data range (lower upper) ",
"\t\t\t% Quality range 1 and weight ",
"\t\t\t% Quality range 2 and weight ",
"\t\t\t% Quality range 3 and weight ",
"\t\t\t\t% Amplitude cutoff value ",
"\t\t\t\t% Debug flag (3/2/1/0) ",
"\t\t\t% Output files (1/0 1/0 1/0) ",
"\t\t\t\t% Use land cover (1/0) ",
" % Name of landcover file ",
"\t\t\t\t% Spike method (3/2/1/0) ",
"\t\t\t\t% Spike value ",
"\t\t\t\t% STL stiffness value (1-10) ",
"\t\t\t\t% No. of landcover classes ",
# "\t\t\t\t% Separator",
"\t\t\t\t% Land cover code for class 1 ",
"\t\t\t\t% Seasonality parameter (0-1) ",
"\t\t\t\t% No. of envelope iterations (3/2/1) ",
"\t\t\t\t% Adaptation strength (1-10) ",
"\t\t\t% Force minimum (1/0) and value ",
"\t\t\t\t% Fitting method (1/2/3): (SG/AG/DL)",
"\t\t\t\t% Weight update method ",
"\t\t\t\t% Window size for Sav-Gol. ",
"\t\t\t\t% Reserved ",
"\t\t\t\t% Reserved ",
"\t\t\t\t% Season start / end method (4/3/2/1) ",
"\t\t\t% Season start / end values "
)
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