sits_get_data.shp_raster_cube

Data cube from where data is to be retrieved.

cube

SHP File with information on the data to be retrieved.

file

Other parameters to be passed for specific types.

Start of the interval for the time series
in "YYYY-MM-DD" format (optional)

start_date

End of the interval for the time series in
"YYYY-MM-DD" format (optional).

end_date

bands

Label to be assigned to the time series (optional)

label

Attribute in the shapefile to be used
as a polygon label (for shapefiles only.

shp_attr

impute_fn

Number of samples per polygon to be read
(for POLYGON or MULTIPOLYGON shapes).

.n_shp_pol

Obtain time series from brick based on SHP file

A set of tools for working with satellite image time series, both as individual data or as part of data cubes.
Supports data retrieval from a web time series service (WTSS), raster bricks and cubes from the Brazilan Data Cube.
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.

sits_get_data.shp_raster_cube: Obtain time series from brick based on SHP file

Description

Usage

Arguments

Value