.sits_preprocess_data

Matrix of values retrieved from a brick.

values.mx

band

missing_value

minimum_value

Scale factor for each band (only for raster data).

scale_factor

stats

filter

Number of cores to process the time series.

multicores

Preprocess a set of values retrived from a raster brick

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.

Pedro Andrade

sits

Satellite Image Time Series Analysis

Rolf Simoes

Gilberto Camara

Victor Maus

Alexandre Carvalho

Lorena Santos

Gilberto Queiroz

Alber Sanchez

Luiz Assis

Adeline Marinho

.sits_preprocess_data function

Preprocess a set of values retrived from a raster brick — .sits_preprocess_data

Preprocess a set of values retrived from a raster brick

.sits_preprocess_data: Preprocess a set of values retrived from a raster brick

Description

Usage

Arguments

Value