auto_normalize: Normalize a set of preprocessed CDR images to a base image

In azvoleff/teamlucc: TEAM land use and cover change data processing toolkit

Description

This function uses model II regression to perform relative normalization to match a set of Landsat CDR surface reflectance images. The function assumes the images were preprocessed using the auto_preprocess_landsat function. A base image can be optionally supplied. If a base image is not supplied, then the function will calculate the percent cloud cover of each input image, and automatically choose the image with the least cloud cover as the base image. This function assumes that the images (and image masks) were preprocessed using the auto_preprocess_landsat function.

Usage

auto_normalize(image_files, base, overwrite = FALSE)

Arguments

image_files	list of filenames for images to normalize
base	(optional) filename of base image. If not supplied, the base image will be automatically chosen from the images in image_files, as the image with the lowest percent cloud cover.
overwrite	whether to overwrite existing files

Details

This function will run in parallel if a parallel backend is registered with foreach.

Value

nothing - used for side effect of normalizing imagery

azvoleff/teamlucc documentation built on May 11, 2019, 5:19 p.m.