sits_timeline

sits_timeline.sits

sits_timeline.sits_model

sits_timeline.raster_cube

sits_timeline.derived_cube

sits_timeline.tbl_df

sits_timeline.default

This function returns the timeline for a given data set, either
 a set of time series, a data cube, or a trained model.

An end-to-end toolkit for land use and land cover classification
using big Earth observation data. Builds satellite image data cubes from cloud collections.
Supports visualization methods for images and time series and
smoothing filters for dealing with noisy time series.
Includes functions for quality assessment of training samples using self-organized maps and
to reduce training samples imbalance. Provides machine learning algorithms including support vector machines,
random forests, extreme gradient boosting, multi-layer perceptrons,
temporal convolution neural networks, and temporal attention encoders.
Performs efficient classification of big Earth observation data cubes and includes
functions for post-classification smoothing based on Bayesian inference.
Enables best practices for estimating area and assessing accuracy of land change.
Minimum recommended requirements: 16 GB RAM and 4 CPU dual-core.

Gilberto Camara

sits

Satellite Image Time Series Analysis for Earth Observation Data
Cubes

Rolf Simoes

Felipe Souza

Felipe Carlos

Lorena Santos

Karine Ferreira

Charlotte Pelletier

Pedro Andrade

Alber Sanchez

Estefania Pizarro

Gilberto Queiroz

sits_timeline function

<dl><dt>data</dt>
<dd>Tibble of class "sits" or class "raster_cube"</dd></dl>

Arguments

Gilberto Camara, <a href="/link/gilberto.camara%40inpe.br?package=sits&version=1.5.2" data-mini-rdoc="sits::gilberto.camara@inpe.br">gilberto.camara@inpe.br</a>

Author

Get timeline of a cube or a set of time series — sits_timeline

<dl>

<dt>data</dt>
<dd>Tibble of class "sits" or class "raster_cube"</dd>

</dl>

Gilberto Camara, <a href='mailto:gilberto.camara@inpe.br'>gilberto.camara@inpe.br</a>

Get timeline of a cube or a set of time series

sits_timeline: Get timeline of a cube or a set of time series

Description

Usage

Value

Arguments

Author

Examples