.sits_coverage_raster

name

Vector of dates with the timeline of the bands.

timeline.vec

Vector of bands contained in the Raster Brick set (in the same order as the files).

bands.vec

Vector of scale factors (one per band).

scale_factors.vec

Vector of missing values (one per band).

missing_values.vec

Minimum values for each band (only for raster data).

minimum_values.vec

Maximum values for each band (only for raster data).

maximum_values.vec

Vector with the file paths of the raster files.

files.vec

This function creates a tibble containing the metadata for
 a set of spatio-temporal raster files, organized as a set of "Raster Bricks".
 These files should be of the same size and
 projection. Each raster brick file should contain one band
 per time step. Different bands are archived in different raster files.

A set of tools for working with satellite image time series.
Supports data retrieval from a WTSS (web time series service) and other data sets.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Enables different clustering methods, including dendrograms and SOM.
Matches noiseless patterns with noisy time series using the TWDTW method for shape recognition.
Provide machine learning methods for time series classification, including SVM, LDA, QDA, GLM, Lasso, Random Forests and Deep Learning.

.sits_coverage_raster: Create a metadata tibble to store the description of a spatio-temporal raster dataset

Description

Usage

Arguments

Value