• Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm 

      Zhao, Kaiguang; Wulder, Michael A.; Hu, Tongxi; Bright, Ryan M.; Wu, Qiusheng; Qin, Haiming; Li, Yang; Toman, Elizabeth; Mallick, Bani; Zhang, Xuesong; Brown, Molly (Peer reviewed; Journal article, 2019-10)
      Satellite time-series data are bolstering global change research, but their use to elucidate land changes and vegetation dynamics is sensitive to algorithmic choices. Different algorithms often give inconsistent or sometimes ...
    • Imprints of management history on hemiboreal forest ecosystems in the Baltic States 

      Jogiste, Kalev; Frelich, Lee E.; Laarmann, Diana; Vodde, Floortje; Baders, Endijs; Donis, Janis; Jansons, Aris; Kangur, Ahto; Korjus, Henn; Köster, Kajar; Kusmin, Jürgen; Kuuluvainen, Timo; Marozas, Vitas; Metslaid, Marek; Metslaid, Sandra; Polyachenko, Olga; Poska, Anneli; Rebane, Sille; Stanturf, John A. (Journal article; Peer reviewed, 2018-11-15)
      In the Baltic States region, anthropogenic disturbances at different temporal and spatial scales mostly determine dynamics and development phases of forest ecosystems. We reviewed the state and condition of hemiboreal ...