.sits_tibble

<p>This function returns an empty sits tibble.
Sits tibbles are the main structures of sits package.
They contain both the satellite image time series and its metadata.
A sits tibble is a tibble with pre-defined columns that
has the metadata and data for each time series. The columns are
&lt;longitude, latitude, start_date, end_date, label, cube, time_series&gt;.
Most functions of sits package get a sits tibble as input
(with additional parameters)
and return another sits tibble as output.
This allows chaining functions over sits tibbles.</p>

internal

A set of tools for working with satellite image time series, both as individual data or as part of data cubes.
Builds data cubes from collections in AWS, Brazil Data Cube, and Digital Earth Africa.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Includes functions for smoothing based on Bayesian inference.
Enables different clustering methods, including dendrograms and self-organized maps (SOM).
Matches noiseless patterns with noisy time series using the time-weighted dynamic time warping (TWDTW) method for shape recognition.
Provides machine learning methods for time series classification, including support vector machines (SVM), random forests and deep learning.
Minimum recommended requirements: 8 GB RAM and 1 CPU dual-core.

Gilberto Camara

sits

Satellite Image Time Series Analysis for Remote Sensing Data Cubes

Rolf Simoes

Felipe Souza

Lorena Santos

Alexandre Carvalho

Pedro Andrade

Karine Ferreira

Alber Sanchez

Gilberto Queiroz

.sits_tibble function

Create a sits tibble to store the time series information — .sits_tibble

Create a sits tibble to store the time series information

.sits_tibble: Create a sits tibble to store the time series information

Description

Usage

Arguments

Value