source_bands

.source_bands

.source_bands_reap

.source_bands_band_name

.source_bands_resolution

.source_bands_to_sits

.source_bands_to_source

.source_cloud

.source_cloud_bit_mask

.source_cloud_values

.source_cloud_interp_values

These functions provide an API to handle/retrieve data from bands.
<code>.source_bands()</code> lists all bands defined in a collection
that matches the criteria defined by its parameters. If no filter is
provided, all bands are returned.
<code>.source_bands_reap()</code> reaps the attributes' values
indicated by <code>key</code> argument for all bands filtered by its parameters.
<code>.source_bands_band_name()</code> returns the <code>band_name</code>
attribute of all bands filtered by its parameters.
<code>.source_bands_resolution()</code> returns the
<code>resolution</code> attribute of all bands filtered by its parameters.
<code>.source_bands_to_sits()</code> converts any bands to its
sits name indicated in band entry.
<code>.source_bands_to_source()</code> converts any bands to its
corresponding names indicated in <code>band_name</code> attribute.
<code>.source_cloud()</code> lists cloud band for a collection.
<code>.source_cloud_bit_mask()</code> returns the <code>bit_mask</code>
attribute of a cloud band, indicating if the cloud band is a bit mask.
<code>.source_cloud_values()</code> returns the <code>values</code>
attribute of a cloud band.
<code>.source_cloud_interp_values()</code> returns the
<code>interp_values</code> attribute of a cloud band, indicating which value/bit
must be interpolated (e.g. shadows, clouds).

internal

An end-to-end toolkit for land use and land cover classification
using big Earth observation data, based on machine learning methods
applied to satellite image data cubes, as described in Simoes et al (2021) <doi:10.3390/rs13132428>.
Builds regular data cubes from collections in AWS, Microsoft Planetary Computer,
Brazil Data Cube, and Digital Earth Africa using the STAC protocol <https://stacspec.org/>
and the 'gdalcubes' R package <doi:10.3390/data4030092>.
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
as presented by Santos et al (2021) <doi:10.1016/j.isprsjprs.2021.04.014>.
Provides machine learning methods including support vector machines,
random forests, extreme gradient boosting, multi-layer perceptrons,
temporal convolutional neural networks <doi:10.3390/rs11050523>,
residual networks <arxiv:1809.04356>, and temporal attention encoders
<arXiv:2007.00586>.
Performs efficient classification of big Earth observation data cubes and includes
functions for post-classification smoothing based on Bayesian inference, and
methods for uncertainty assessment. Enables best
practices for estimating area and assessing accuracy of land change as
recommended by Olofsson et al(2014) <doi:10.1016/j.rse.2014.02.015>.
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

Lorena Santos

Pedro Andrade

Karine Ferreira

Alber Sanchez

Gilberto Queiroz

source_bands function

<dl><dt>source</dt>
<dd>Valid data source.</dd>
<dt>collection</dt>
<dd>Image collection.
source.</dd>
<dt>fn_filter</dt>
<dd>A <code>function</code> that will be applied in each band
to filter selection. The provided function must have an input parameter to
receive band object and return a <code>logical</code> value.</dd>
<dt>add_cloud</dt>
<dd>Should the cloud band be returned?</dd>
<dt>key</dt>
<dd>Key of a band object.</dd>
<dt>bands</dt>
<dd>Bands to be retrieved</dd>
<dt>default</dt>
<dd>Value to be returned if an attribute or key is not
found.</dd></dl>

Arguments

Source bands functions — source_bands

<dl>

<dt>source</dt>
<dd>Valid data source.</dd>


<dt>collection</dt>
<dd>Image collection.
source.</dd>


<dt>fn_filter</dt>
<dd>A <code>function</code> that will be applied in each band
to filter selection. The provided function must have an input parameter to
receive band object and return a <code>logical</code> value.</dd>


<dt>add_cloud</dt>
<dd>Should the cloud band be returned?</dd>


<dt>key</dt>
<dd>Key of a band object.</dd>


<dt>bands</dt>
<dd>Bands to be retrieved</dd>


<dt>default</dt>
<dd>Value to be returned if an attribute or key is not
found.</dd>

</dl>

Source bands functions

source_bands: Source bands functions

Description

Usage

Value

Arguments