process_hyperspec: process_hyperspec

In pat-s/2019-feature-selection: Research Compendium package for the publication "Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?"

Description

Preprocessing of hyperspectral data:

• Crop to plot extent

• Mask to plot extent

• Reproject to EPSG 32630

Usage

process_hyperspec(data, id, index, plots, name_out)

process_hyperspec_helper(data, id, index, plots, name_out)

Arguments

data	(list) Raster bricks
id	(character) ID name
index	(integer) Internal identifier to check which plot belongs to which image.
plots	(sf) sf object containing the plot locations (n = 28)
name_out	(character) Name of the plot. Used for naming of the resulting list.

pat-s/2019-feature-selection documentation built on Dec. 24, 2021, 8:40 a.m.