.sits_from_csv

Name of a CSV file with information &lt;id, latitude, longitude, from, end, label&gt;.

csv_file

A tibble with metadata about coverage which contains data to be retrieved.

coverage

A string vector with the names of the bands to be retrieved.

bands

String ("0" - none, "1" - no data correction, "2" - cloud correction, "3" - no data and cloud correction).

prefilter

Row on the CSV file to start reading (optional).

.n_start

Maximum number of samples to be read.

.n_max

Number of samples to save as intermediate files (used for long reads).

.n_save

reads descriptive information about a set of
spatio-temporal locations from a CSV file. Then, it uses the WTSS time series service
to retrieve the time series, and stores the time series on a sits tibble for later use.
The CSV file should have the following column names:
"longitude", "latitude", "start_date", "end_date", "label"

A set of tools for working with satellite image time series.
Supports data retrieval from a WTSS (web time series service) and other data sets.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Enables different clustering methods, including dendrograms and SOM.
Matches noiseless patterns with noisy time series using the TWDTW method for shape recognition.
Provide machine learning methods for time series classification, including SVM, LDA, QDA, GLM, Lasso, Random Forests and Deep Learning.

.sits_from_csv: Obtain timeSeries from time series server, based on a CSV file.

Description

Usage

Arguments

Value