Prepare MODIS LAI data for the SDA workflow.

MODIS_LAI_prep(
  site_info,
  time_points,
  outdir = NULL,
  search_window = 30,
  export_csv = FALSE,
  sd_threshold = 20,
  skip.download = TRUE,
  boundary = NULL
)

Arguments

site_info

list: Bety list of site info including site_id, lon, and lat.

time_points

character: a vector contains each time point within the start and end date.

outdir

character: where the final CSV file will be stored.

search_window

numeric: search window for locate available LAI values.

export_csv

boolean: decide if we want to export the CSV file.

sd_threshold

numeric or character: for filtering out any estimations with unrealistic high standard error, default is 20. The QC check will be skipped if it's set as NULL.

skip.download

boolean: determine if we want to use existing LAI.csv file and skip the MODIS LAI download part.

boundary

numeric vector or list: the upper and lower quantiles for filtering out noisy LAI values (e.g., c(0.05, 0.95) or list(0.05, 0.95)). The default is NULL.

Value

A data frame containing LAI and sd for each site and each time step.

Author

Dongchen Zhang