Research article2026Peer reviewedOpen access
Updating forest maps through data assimilation using remotely sensed data and regression methods designed to avoid bias trends
Axelsson, Christoffer; Ekstrom, Magnus; Appiah Mensah, Alex et al.
Publications
2026
Research article2026Peer reviewedOpen access
New and established regression techniques to address design-bias trends in fixed populations
Ekström, Magnus; Axelsson, Christoffer; Ståhl, Göran.
2024
Research article2024Peer reviewedOpen access
Estimation of plant density based on presence/absence data using hybrid inference
Gozé, Léna; Ekström, Magnus; Sandring, Saskia et al.
Research article2024Peer reviewedOpen access
Quantile regression with interval-censored data in questionnaire-based studies
Angelov, Angel G.; Ekstrom, Magnus; Puzon, Klarizze et al.
Conference abstract2024
How early can we detect European spruce bark beetle attack using hyperspectral drone images with high spatial- and temporal resolution?
Cosimo, Luiz; Lindberg, Eva; Persson, Henrik et al.
Research article2024Peer reviewedOpen access
Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time - and how this affects applications
Stahl, Goran; Gobakken, Terje; Saarela, Svetlana et al.
Research article2024Peer reviewedOpen access
Computation of prediction intervals for forest aboveground biomass predictions using generalized linear models in a large-extent boreal forest region
Mukhopadhyay, Ritwika; Ekström, Magnus; Lindberg, Eva et al.
2023
Research article2023Peer reviewedOpen access
Tests of stochastic dominance with repeated measurements data
Angelov, Angel G.; Ekstrom, Magnus.
Conference abstract2023
Identifying potential locations for bilberry picking with remote sensing, in-situ field data and phone-application
Bohlin, Inka; Wahlberg, Alexander; Uddstål, Roger et al.
Research article2023Peer reviewedOpen access
Influence of canopy structure and light on the three-dimensional distribution of the iconic lichen Usnea longissima
Esseen, P-A; Ekstrom, M..
Conference abstract2023
Impact of field reference errors for remote sensing predictions
Persson, Henrik; Ekström, Magnus; Ståhl, Göran.
Conference abstract2023
Model-based estimation and mapping of plant density based on remote sensing and presence/absence data
Ekström, Magnus; Gozé, Léna; Wallerman, Jörgen et al.
Conference paper2023Peer reviewedOpen access
Comparing TanDEM-X InSAR Forest Stand Volume Prediction Models Trained Using Field and ALS Data
Mukhopadhyay, Ritwika; Nilsson, Mats; Ekström, Magnus et al.
Conference abstract2023
Mapping potential location for bilberry picking with remote sensing, local field data and phone-application
Bohlin, Inka; Wahlberg, A.; Uddstål, R. et al.
2022
Research article2022Peer reviewedOpen access
Multiple drivers of large-scale lichen decline in boreal forest canopies
Esseen, Per-Anders; Ekstrom, Magnus; Grafstrom, Anton et al.
Research article2022Peer reviewedOpen access
Comparing frameworks for biomass prediction for the Global Ecosystem Dynamics Investigation
Saarela, Svetlana; Hol, Soren; Healey, Sean P. et al.
Research article2022Peer reviewedOpen access
Self-selected interval judgments compared to point judgments: A weight judgment experiment in the presence of the size-weight illusion
Gonzalez, Nichel; Svenson, Ola; Ekstrom, Magnus et al.
Conference abstract2022Peer reviewed
Rapid mapping of final fellings using Sentinel-1 data for a boreal forest test-site in Sweden
Mukhopadhyay, Ritwika; Lindberg, Eva; Ekström, Magnus et al.
Research article2022Peer reviewedOpen access
Quantify and account for field reference errors in forest remote sensing studies
Persson, Henrik Jan; Ekstrom, Magnus; Stahl, Goran.
2021
Research article2021Peer reviewedOpen access
A Comparison of Model-Assisted Estimators, With and Without Data-Driven Transformations of Auxiliary Variables, With Application to Forest Inventory
Ekström, Magnus; Nilsson, Mats.
Research article2021Peer reviewedOpen access
Rapid Changes in Ground Vegetation of Mature Boreal Forests-An Analysis of Swedish National Forest Inventory Data
Jonsson, Bengt Gunnar; Dahlgren, Jonas; Ekstrom, Magnus et al.
Conference paper2021Peer reviewed
Modelling of Aboveground Biomass Change Using LiDAR Metrics and NFI Field Data: A Case Study of Southern Sweden
Mukhopadhyay, Ritwika; Indirabai, Indu; Nilsson, Mats et al.
Conference paper2021Peer reviewed
Aboveground Biomass Assessment Using GEDI Data across Diverse Forest Ecosystems in India
Indirabai, Indu; Mukhopadhyay, Ritwika; Duncanson, Laura I. et al.
Conference abstract2021
Estimating density from presence/absence data in clustered populations
Ekström, Magnus; Sandring, Saskia; Grafström, Anton et al.
2020
Research article2020Peer reviewedOpen access
Presence–absence sampling for estimating plant density using survey data with variable plot size
Ståhl, Göran; Ekström, Magnus; Dahlgren, Jonas et al.