Magnus Ekström

Publications

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2023

Identifying potential locations for bilberry picking with remote sensing, in-situ field data and phone-application

Bohlin, Inka; Wahlberg, Alexander; Uddstål, Roger et al. 2023.

Conference abstract

Influence of canopy structure and light on the three-dimensional distribution of the iconic lichen Usnea longissima

Esseen, P-A; Ekstrom, M.. 2023. DOI: 10.1016/j.foreco.2022.120667

Research article (Peer reviewed)

Tests of stochastic dominance with repeated measurements data

Angelov, Angel G.; Ekstrom, Magnus. 2023. DOI: 10.1007/s10182-022-00446-8

Research article (Peer reviewed)

Comparing TanDEM-X InSAR Forest Stand Volume Prediction Models Trained Using Field and ALS Data

Mukhopadhyay, Ritwika; Nilsson, Mats; Ekström, Magnus et al. 2023. DOI: 10.1109/IGARSS52108.2023.10281911

Conference paper

Mapping potential location for bilberry picking with remote sensing, local field data and phone-application

Bohlin, Inka; Wahlberg, A.; Uddstål, R. et al. 2023.

Conference abstract

2022

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. 2022.

Conference abstract (Peer reviewed)

Quantify and account for field reference errors in forest remote sensing studies

Persson, Henrik Jan; Ekstrom, Magnus; Stahl, Goran. 2022. DOI: 10.1016/j.rse.2022.113302

Research article (Peer reviewed)

Comparing frameworks for biomass prediction for the Global Ecosystem Dynamics Investigation

Saarela, Svetlana; Hol, Soren; Healey, Sean P. et al. 2022. DOI: 10.1016/j.rse.2022.113074

Research article (Peer reviewed)

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. 2022. DOI: 10.1371/journal.pone.0264830

Research article (Peer reviewed)

Multiple drivers of large-scale lichen decline in boreal forest canopies

Esseen, Per-Anders; Ekstrom, Magnus; Grafstrom, Anton et al. 2022. DOI: 10.1111/gcb.16128

Research article (Peer reviewed)

Quantile regression with interval-censored data in questionnaire-based studies

Angelov, Angel G.; Ekstrom, Magnus; Puzon, Klarizze et al. 2022. DOI: 10.1007/s00180-022-01308-2

Research article (Peer reviewed)

2021

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. 2021. DOI: 10.3390/f12040475

Research article (Peer 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. 2021. DOI: 10.34726/wim.1982

Conference paper

Aboveground Biomass Assessment Using GEDI Data across Diverse Forest Ecosystems in India

Indirabai, Indu; Mukhopadhyay, Ritwika; Duncanson, Laura I. et al. 2021.

Conference paper

Estimating density from presence/absence data in clustered populations

Ekström, Magnus; Sandring, Saskia; Grafström, Anton et al. 2021.

Conference abstract

A Comparison of Model-Assisted Estimators, With and Without Data-Driven Transformations of Auxiliary Variables, With Application to Forest Inventory

Ekström, Magnus; Nilsson, Mats. 2021. DOI: 10.3389/ffgc.2021.764495

Research article (Peer reviewed)

2020

Presence–absence sampling for estimating plant density using survey data with variable plot size

Ståhl, Göran; Ekström, Magnus; Dahlgren, Jonas et al. 2020. DOI: 10.1111/2041-210X.13348

Research article (Peer reviewed)

Estimating density from presence/absence data in clustered populations

Ekstrom, Magnus; Sandring, Saskia; Grafstrom, Anton et al. 2020. DOI: 10.1111/2041-210X.13347

Research article (Peer reviewed)

A class of asymptotically efficient estimators based on sample spacings

Ekström, Magnus; Mirakhmedov, S. M.; Rao Jammalamadaka, S.. 2020. DOI: 10.1007/s11749-019-00637-7

Research article (Peer reviewed)

2019

A Class of Asymptotically Efficient Estimators Based on Sample Spacings

Ekström, Magnus; Mirakhmedov, Sherzod M.; Jammalamadaka, S. Rao. 2019.

Conference abstract

Four-decision tests for stochastic dominance, with an application to environmental psychophysics

Angelov, Angel G.; Ekström, Magnus; Kriström, Bengt et al. 2019. DOI: 10.1016/j.jmp.2019.102281

Research article (Peer reviewed)

On combining independent probability samples

Grafstrom, Anton; Ekstrom, Magnus; Jonsson, Bengt Gunnar et al. 2019.

Research article (Peer reviewed)

Maximum likelihood estimation for survey data with informative interval censoring

Angelov, Angel G.; Ekström, Magnus. 2019. DOI: 10.1007/s10182-018-00329-x

Research article (Peer reviewed)

2018

Morphology drives water storage traits in the globally widespread lichen genus Usnea

Eriksson, Amanda; Gauslaa, Yngvar; Palmqvist, Kristin et al. 2018. DOI: 10.1016/j.funeco.2018.06.007

Research article (Peer reviewed)

Logistic regression for clustered data from environmental monitoring programs

Ekstrom, M.; Esseen, P. -A.; Westerlund, B. et al. 2018. DOI: 10.1016/j.ecoinf.2017.10.006

Research article (Peer reviewed)

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