compute_greenness_time_series: Mask images and compute %greenness time series

In phenofun: Automated Processing of Webcam Images for Phenological Classification

Description

For given ROIs, the %greenness time series inside the ROIs is computed on doy level

Usage

compute_greenness_time_series(color = "green", x = NULL, y = NULL, folder,
  lists_files, which_images = seq_len(length(lists_files)), doy, path_base,
  name_of_analysis, main_plot, settings_mat, load_masks = FALSE,
  masks_list = NULL)

Arguments

color	Color to compute the %color time series. Default is "green"
x	Vector of x-coordinates to read in. Default NULL results in a grid of all possible values.
y	Vector of y-coordinates to read in. Default NULL results in a grid of all possible values.
folder	The folder which contains the images.
lists_files	A vector containing the names of all images inside folder to be read in.
which_images	An optional vector to select images from lists_files. Default is seq_len(length(lists_files))
doy	Vector of DOYs for each image
path_base	Base directory for saving the results
name_of_analysis	Name of the analysis (for file name of the results)
main_plot	Main for the plot
settings_mat	Matrix with all settings from find_clusters
load_masks	Boolean: Shall the masks be loaded from the disc? Otherwise, results from generate_masks can be given as masks_list
masks_list	A list containing the masks, possibly output from generate_masks

Value

A list containing the mean doy time series and settings

phenofun documentation built on Jan. 22, 2017, 9:01 p.m.