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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "bfast" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'bfast: Breaks for Additive Season and Trend'
version: 1.7.0
doi: 10.1016/j.rse.2009.08.014
identifiers:
- type: doi
  value: 10.32614/CRAN.package.bfast
abstract: Decomposition of time series into trend, seasonal, and remainder components
  with methods for detecting and characterizing abrupt changes within the trend and
  seasonal components. 'BFAST' can be used to analyze different types of satellite
  image time series and can be applied to other disciplines dealing with seasonal
  or non-seasonal time series, such as hydrology, climatology, and econometrics. The
  algorithm can be extended to label detected changes with information on the parameters
  of the fitted piecewise linear models. 'BFAST' monitoring functionality is described
  in Verbesselt et al. (2010) <https://doi.org/10.1016/j.rse.2009.08.014>. 'BFAST
  monitor' provides functionality to detect disturbance in near real-time based on
  'BFAST'- type models, and is described in Verbesselt et al. (2012) <https://doi.org/10.1016/j.rse.2012.02.022>.
  'BFAST Lite' approach is a flexible approach that handles missing data without interpolation,
  and will be described in an upcoming paper. Furthermore, different models can now
  be used to fit the time series data and detect structural changes (breaks).
authors:
- family-names: Verbesselt
  given-names: Jan
  email: Jan.Verbesselt@wur.nl
- family-names: Masiliūnas
  given-names: Dainius
  email: pastas4@gmail.com
  orcid: https://orcid.org/0000-0001-5654-1277
- family-names: Zeileis
  given-names: Achim
  email: Achim.Zeileis@R-project.org
- family-names: Appel
  given-names: Marius
  email: marius.appel@uni-muenster.de
preferred-citation:
  type: article
  title: Detecting Trend and Seasonal Changes in Satellite Image Time Series
  authors:
  - family-names: Verbesselt
    given-names: Jan
    email: Jan.Verbesselt@wur.nl
  - family-names: Hyndman
    given-names: Rob
  - family-names: Newnham
    given-names: Glenn
  - family-names: Culvenor
    given-names: Darius
  journal: Remote Sensing of Environment
  year: '2010'
  volume: '114'
  issue: '1'
  doi: 10.1016/j.rse.2009.08.014
  start: '106'
  end: '115'
repository: https://robjhyndman.r-universe.dev
repository-code: https://github.com/bfast2/bfast
commit: 4a5a9c8b7cbb68a71a6e6b15188a42571291ad18
url: https://bfast2.github.io/
contact:
- family-names: Masiliūnas
  given-names: Dainius
  email: pastas4@gmail.com
  orcid: https://orcid.org/0000-0001-5654-1277
references:
- type: article
  title: Phenological Change Detection while Accounting for Abrupt and Gradual Trends
    in Satellite Image Time Series
  authors:
  - family-names: Verbesselt
    given-names: Jan
  - family-names: Hyndman
    given-names: Rob
  - family-names: Zeileis
    given-names: Achim
  - family-names: Culvenor
    given-names: Darius
  journal: Remote Sensing of Environment
  year: '2010'
  volume: '114'
  issue: '12'
  doi: 10.1016/j.rse.2010.08.003
  start: '2970'
  end: '2980'
- type: article
  title: Near real-time disturbance detection using satellite image time series
  authors:
  - family-names: Verbesselt
    given-names: Jan
  - family-names: Zeileis
    given-names: Achim
  - family-names: Herold
    given-names: Martin
  journal: Remote Sensing of Environment
  year: '2012'
  volume: '123'
  doi: 10.1016/j.rse.2012.02.022
  start: '98'
  end: '108'
- type: article
  title: 'BFAST Lite: A Lightweight Break Detection Method for Time Series Analysis'
  authors:
  - family-names: Masiliūnas
    given-names: Dainius
  - family-names: Tsendbazar
    given-names: Nandin-Erdene
  - family-names: Herold
    given-names: Martin
  - family-names: Verbesselt
    given-names: Jan
  journal: Remote Sensing
  year: '2021'
  volume: '13'
  issue: '16'
  doi: 10.3390/rs13163308
  start: '3308'