Automated Processing of Webcam Images for Phenological Classification


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Documentation for package ‘phenofun’ version 0.2.0

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amos_uroi_wrap Wrapper function for analyzing data from AMOS
compute_greenness_time_series Mask images and compute %greenness time series
create_dirs_uroi Create directories for the results
display_eigen Display eigenimages and effect of eigenimage on the mean image
display_scores Plot scores on eigenimages
download_amos_func Download image data from AMOS
dummy_time Define dummy time series
eigen_images Compute eigenimages of a given set of images
find_clusters Function clusters in a set of images
generate_masks Generate binary masks from the results of a cluster analysis
hsv_to_rgb Transform HSV-Image to RGB-Image
mask_img Masks images with given mask
norm_img Norm image to sum=1
overlay_masks_onref Overlay list of mask images on reference image with transparency alpha
read_images Read images into an array
read_images_ndvi Function to read images into an array - NDVI Version
read_images_pseudo_ndvi Function to read images into an array - Pseudo-NDVI Version
restore_images Restore images based on eigenimages and scores
revise_seasons Revise classified seasons to extract unique onset days of seasons
rgb_to_hsv Transform RGB-Image to HSV-Image
scale_img Scale grayscale images to mean 0 and variance 1
scores_images Function to compute the scores of the images on the eigenimages
sroi_analysis Function for sROI analysis
struc_dummy Apply optimality criterion 2 on %greenness time series
struc_ftest Apply optimality criterion 1 on %greenness time series
sum1_img Transform pixel intensities to sum=1
sup_class Function for eigenanalysis and supervised classification