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Senf, Cornelius, Pflugmacher, Dirk, Heurich, Marco, Krueger, Tobias (2017) A Bayesian hierarchical model for estimating spatial and temporal variation in vegetation phenology from Landsat time series. Remote Sensing of Environment, 194. 155-160 doi:10.1016/j.rse.2017.03.020

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Reference TypeJournal (article/letter/editorial)
TitleA Bayesian hierarchical model for estimating spatial and temporal variation in vegetation phenology from Landsat time series
JournalRemote Sensing of Environment
AuthorsSenf, CorneliusAuthor
Pflugmacher, DirkAuthor
Heurich, MarcoAuthor
Krueger, TobiasAuthor
Year2017 (June)Volume194
PublisherElsevier BV
DOIdoi:10.1016/j.rse.2017.03.020Search in ResearchGate
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Mindat Ref. ID9442053Long-form Identifiermindat:1:5:9442053:5
GUID0
Full ReferenceSenf, Cornelius, Pflugmacher, Dirk, Heurich, Marco, Krueger, Tobias (2017) A Bayesian hierarchical model for estimating spatial and temporal variation in vegetation phenology from Landsat time series. Remote Sensing of Environment, 194. 155-160 doi:10.1016/j.rse.2017.03.020
Plain TextSenf, Cornelius, Pflugmacher, Dirk, Heurich, Marco, Krueger, Tobias (2017) A Bayesian hierarchical model for estimating spatial and temporal variation in vegetation phenology from Landsat time series. Remote Sensing of Environment, 194. 155-160 doi:10.1016/j.rse.2017.03.020
In(n.d.) Remote Sensing of Environment Vol. 194. Elsevier BV

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Senf, Cornelius, Laštovička, Josef, Okujeni, Akpona, Heurich, Marco, van der Linden, Sebastian (2020) A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data. Remote Sensing of Environment, 240. 111691pp. doi:10.1016/j.rse.2020.111691
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Barta, Karola Anna, Hais, Martin, Heurich, Marco (2022) Characterizing forest disturbance and recovery with thermal trajectories derived from Landsat time series data. Remote Sensing of Environment, 282. 113274 doi:10.1016/j.rse.2022.113274
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