.sits_estimate_nblocks

ml_model

nbands

nrows

ncols

timeline

interval

Memory available for classification (in GB).

memsize

Number of threads to process the time series.

multicores

Defines the number of blocks of a Raster Brick to be read into memory.

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_estimate_nblocks function

Estimate the number of blocks — .sits_estimate_nblocks

Estimate the number of blocks

.sits_estimate_nblocks: Estimate the number of blocks

Description

Usage

Arguments

Value