sits_getdata: Obtain timeSeries from different sources

In luizassis/sits: Satellite Image Time Series Analysis

Description

reads descriptive information about a data source to retrive a set of time series. The following options are available: (a) The source is a SITS table - retrieves the metadata from the sits table and the data from the WTSS service (b) The source is a CSV file - retrieves the metadata from the CSV file and the data from the WTSS service (c) The source is a JSON file - retrieves the metadata and data from the JSON file. (d) The source is a gz file (compressed JSON file) - retrieves the metadata and data from the compressed JSON file. (e) No source is given - it retrives the data based on <long, lat, wtss> A sits table has the metadata and data for each time series <longitude, latitude, start_date, end_date, label, coverage, time_series>

A Web Time Series Service (WTSS) is a light-weight service that retrieves one or more time series in JSON format from a data base.

Usage

sits_getdata(file = NULL, table = NULL, longitude = NULL,
  latitude = NULL, start_date = NULL, end_date = NULL, label = NULL,
  URL = "http://www.dpi.inpe.br/tws/wtss", coverage = NULL, bands = NULL,
  n_max = Inf, ignore_dates = FALSE)

Arguments

file	the name of a file with information on the data to be retrieved (options - CSV, JSON, SHP)
table	an R object ("sits_table")
longitude	double - the longitude of the chosen location
latitude	double - the latitude of the chosen location)
start_date	date - the start of the period
end_date	date - the end of the period
label	string - the label to attach to the time series
URL	string - the URL of WTSS (Web Time Series Service)
coverage	string - the name of the coverage to be retrieved
bands	string vector - the names of the bands to be retrieved
n_max	integer - the maximum number of samples to be read (optional)
ignore_dates	use the start and end dates from the coverage instead of the time series

Value

data.tb tibble - a SITS table

Author(s)

Gilberto Camara

References

Lubia Vinhas, Gilberto Queiroz, Karine Ferreira, Gilberto Camara, Web Services for Big Earth Observation Data. In: XVII Brazilian Symposium on Geoinformatics, 2016, Campos do Jordao. Proceedings of GeoInfo 2016. Sao Jose dos Campos: INPE/SBC, 2016. v.1. p.166-177.

luizassis/sits documentation built on May 30, 2019, 7:15 p.m.