.sits_select_raster_indexes

coverage

<p>Tibble with samples used for classification.</p>

samples

interval

<p>Given a list of time indexes that indicate the start and end of the values to
be extracted to classify each band, obtain a list of indexes that will be used to
extract values from a combined distance tibble (with has all the bands put together)</p>

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_select_raster_indexes function

Provide a list of indexes to extract data from a raster-derived data table for classification — .sits_select_raster_indexes

Provide a list of indexes to extract data from a raster-derived data table for classification

.sits_select_raster_indexes: Provide a list of indexes to extract data from a raster-derived data table for classification

Description

Usage

Arguments

Value