.sits_write_raster_values

List with value layers and probability bricks.

output.lst

A data.table with predicted probabilities for each class.

prediction_DT

labels

Integer values corresponding to labels.

int_labels

time

Initial row of the output layer to write block.

first_row

Number of cores to process the time series.

multicores

Write the raster values to the outout 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_write_raster_values: Write the values and probs into raster files

Description

Usage

Arguments

Value