Modelling effects of forest disturbance history on carbon balance: a deep learning approach using Landsat-time series.

Simon Besnard1,2, Nuno Carvalhais2,3, Jan Clevers1, Loïc Dutrieux4, Fabian Gans2, Martin Herold1, Markus Reichstein5 and Martin Jung2, (1)Wageningen University and Research Center, Laboratory of Geo-Information Science and Remote Sensing, Wageningen, Netherlands, (2)Max Planck Institute for Biogeochemistry, Biogeochemical Integration, Jena, Germany, (3)Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, Departamento de Ciências e Engenharia do Ambiente, DCEA, Caparica, Portugal, (4)National Commission for the Knowledge and Use of Biodiversity (CONABIO), Mexico City, Mexico, (5)Max-Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany