Mukhopadhyay, Ritwika; Lindberg, Eva; Ekström, Magnus et. al 2022 Rapid mapping of final fellings using Sentinel-1 data for a boreal forest test-site in Sweden Conference abstract
Lindberg, Eva; Bohlin, Inka; Bohlin, Jonas et. al 2022 Potential of mapping forest damage from remotely sensed data Report
Mukhopadhyay, Ritwika; Indirabai, Indu; Nilsson, Mats et. al 2021 Modelling of Aboveground Biomass Change Using LiDAR Metrics and NFI Field Data: A Case Study of Southern Sweden Conference paper DOI:10.34726/wim.1982
Serk, Henrik; Nilsson, Mats B.; Figueira, Joao et. al 2021 CO2 fertilization of Sphagnum peat mosses is modulated by water table level and other environmental factors Research article (Peer reviewed) DOI:10.1111/pce.14043
Ekström, Magnus; Nilsson, Mats 2021 A Comparison of Model-Assisted Estimators, With and Without Data-Driven Transformations of Auxiliary Variables, With Application to Forest Inventory Research article (Peer reviewed) DOI:10.3389/ffgc.2021.764495
Breidenbach, Johannes; Ivanovs, Janis; Kangas, Annika et. al 2021 Improving living biomass C-stock loss estimates by combining optical satellite, airborne laser scanning, and NFI data Research article (Peer reviewed) DOI:10.1139/cjfr-2020-0518
Lindgren, Nils; Wastlund, Andre; Bohlin, Inka et. al 2021 Updating of forest stand data by using recent digital photogrammetry in combination with older airborne laser scanning data Research article (Peer reviewed) DOI:10.1080/02827581.2021.1936153
Persson, Henrik J.; Jonzen, Jonas; Nilsson, Mats 2021 Combining TanDEM-X and Sentinel-2 for large-area species-wise prediction of forest biomass and volume Research article (Peer reviewed) DOI:10.1016/j.jag.2020.102275
Wallerman, Jorgen; Nystrom, Kenneth; Nilsson, Mats et. al 2020 Nation-wide mapping of tree growth using repeated airborne laser scanning Conference paper (Peer reviewed) DOI:10.1109/IGARSS39084.2020.9323955
Persson, Henrik; Fransson, Johan; Jonzén, Jonas et. al 2020 Combining TanDEM-X, Sentinel-2 and field data for prediction of species-wise stem volumes Conference paper (Peer reviewed) DOI:10.1109/IGARSS39084.2020.9324055