sits_get_data.sits

Retrieve a set of time series from a data cube and
and put the result in a <code>sits tibble</code>. The <code>samples</code>
parameter should be a valid <code>sits tibble</code> which
which contains columns
<code>longitude</code>, <code>latitude</code>,
<code>start_date</code>, <code>end_date</code> and <code>label</code> for each sample.

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.
Enables merging of multi-source imagery (SAR, optical, DEM).
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.
Includes object-based spatio-temporal segmentation for space-time OBIA.
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

Charlotte Pelletier

Estefania Pizarro

Karine Ferreira

Alber Sanchez

Alexandre Assuncao

Daniel Falbel

Gilberto Queiroz

Johannes Reiche

Pedro Andrade

Pedro Brito

Renato Assuncao

Ricardo Cartaxo

sits_get_data.sits function

<dl><dt>cube</dt>
<dd>Data cube from where data is to be retrieved.
(tibble of class "raster_cube").</dd>
<dt>samples</dt>
<dd>Location of the samples to be retrieved.
Either a tibble of class "sits", an "sf" object,
the name of a shapefile or csv file, or
a data.frame with columns "longitude" and "latitude".</dd>
<dt>...</dt>
<dd>Specific parameters for specific cases.</dd>
<dt>bands</dt>
<dd>Bands to be retrieved - optional.</dd>
<dt>crs</dt>
<dd>A character with the samples crs.
Default is "EPSG:4326".</dd>
<dt>impute_fn</dt>
<dd>Imputation function to remove NA.</dd>
<dt>multicores</dt>
<dd>Number of threads to process the time series
(integer, with min = 1 and max = 2048).</dd>
<dt>progress</dt>
<dd>Logical: show progress bar?</dd></dl>

Arguments

Get time series using sits objects — sits_get_data.sits

<dl>

<dt>cube</dt>
<dd>Data cube from where data is to be retrieved.
(tibble of class "raster_cube").</dd>


<dt>samples</dt>
<dd>Location of the samples to be retrieved.
Either a tibble of class "sits", an "sf" object,
the name of a shapefile or csv file, or
a data.frame with columns "longitude" and "latitude".</dd>


<dt>...</dt>
<dd>Specific parameters for specific cases.</dd>


<dt>bands</dt>
<dd>Bands to be retrieved - optional.</dd>


<dt>crs</dt>
<dd>A character with the samples crs.
Default is "EPSG:4326".</dd>


<dt>impute_fn</dt>
<dd>Imputation function to remove NA.</dd>


<dt>multicores</dt>
<dd>Number of threads to process the time series
(integer, with min = 1 and max = 2048).</dd>


<dt>progress</dt>
<dd>Logical: show progress bar?</dd>

</dl>

Get time series using sits objects

sits_get_data.sits: Get time series using sits objects

Description

Usage

Value

Arguments