Forskningsartikel2024Vetenskapligt granskadÖppen tillgång
Forest owners' perceptions of machine learning: Insights from swedish forestry
Wising, Joakim; Sandstrom, Camilla; Lidberg, William.
William Lidberg
Institutionen för skogens ekologi och skötsel
E-post: william.lidberg@slu.se
ORCID: 0000-0001-5780-5596
Publikationer
2024
Forskningsartikel2024Vetenskapligt granskad
Climatic controls on the dynamic lateral expansion of northern peatlands and its potential implication for the 'anomalous' atmospheric CH4 rise since the mid-Holocene
Peng, Haijun; Nijp, Jelmer J.; Ratcliffe, Joshua L. et al.
Forskningsartikel2024Vetenskapligt granskadÖppen tillgång
Ditches show systematic impacts on soil and vegetation properties across the Swedish forest landscape
Agren, Anneli M.; Anderson, Olivia; Lidberg, William et al.
Forskningsartikel2024Vetenskapligt granskadÖppen tillgång
Detection of Hunting Pits using Airborne Laser Scanning and Deep Learning
Lidberg, William; Westphal, Florian; Brax, Christoffer et al.
2023
Forskningsartikel2023Vetenskapligt granskadÖppen tillgång
Catchment characteristics control boreal mire nutrient regime and vegetation patterns over ~5000 years of landscape development
Ehnvall, Betty; Ågren, Anneli; Nilsson, Mats et al.
Forskningsartikel2023Vetenskapligt granskadÖppen tillgång
Mapping Drainage Ditches in Forested Landscapes Using Deep Learning and Aerial Laser Scanning
Lidberg, William ; Paul, Siddhartho; Westphal, Florian et al.
Forskningsartikel2023Vetenskapligt granskadÖppen tillgång
Groundwater-stream connections shape the spatial pattern and rates of aquatic metabolism
Lupon, Anna; Gomez-Gener, Lluis; Fork, Megan L. et al.
Artikel i dags-/nyhetstidning2023
Sveriges utsläpp måste minska nu, regeringen
Skelton, Alasdair; Hajdu, Flora; Wolrath Söderberg, Maria.
2022
Forskningsartikel2022Vetenskapligt granskadÖppen tillgång
Predicting soil moisture conditions across a heterogeneous boreal catchment using terrain indices
Larson, Johannes; Lidberg, William ; Ågren, Anneli et al.
Editorial2022Vetenskapligt granskadÖppen tillgång
Emerging technology can guide ecosystem restoration for future water security
Laudon, Hjalmar; Lidberg, William; Sponseller, Ryan Allen et al.
2021
Forskningsartikel2021Vetenskapligt granskadÖppen tillgång
Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape
Agren, Anneli M.; Larson, Johannes; Paul, Siddhartho Shekhar et al.
2020
Forskningsartikel2020Vetenskapligt granskadÖppen tillgång
The accuracy of drainage network delineation as a function of environmental factors: A case study in Central and Northern Sweden
Yan, Yanzi; Lidberg, William; Tenenbaum, David E. et al.
Forskningsartikel2020Vetenskapligt granskadÖppen tillgång
Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape
Lidberg, William; Nilsson, Mats; Agren, Anneli.
2019
Doktorsavhandling2019Öppen tillgång
Digital wet areas mapping
Lidberg, William .
Forskningsartikel2019Vetenskapligt granskadÖppen tillgång
Landscape process domains drive patterns of CO2 evasion from river networks
Rocher-Ros, Gerard; Sponseller, Ryan A.; Lidberg, William et al.
Forskningsartikel2019Vetenskapligt granskad
Evaluations of Climate and Land Management Effects on Lake Carbon Cycling Need to Account Temporal Variability in CO2 Concentration
Klaus, Marcus; Seekell, David A.; Lidberg, William et al.
Forskningsartikel2019Vetenskapligt granskad
Environmental footprint of small-scale, historical mining and metallurgy in the Swedish boreal forest landscape: The Moshyttan blast furnace as microcosm
Myrstener, Erik; Biester, Harald; Bigler, Christian et al.
2018
Forskningsartikel2018Vetenskapligt granskadÖppen tillgång
Identifying and assessing the potential hydrological function of past artificial forest drainage
Hasselquist, Eliza Maher; Lidberg, William; Sponseller, Ryan A. et al.
2017
Forskningsartikel2017Vetenskapligt granskadÖppen tillgång
Evaluating preprocessing methods of digital elevation models for hydrological modelling
Lidberg, William; Nilsson, Mats; Lundmark, Tomas et al.
Forskningsartikel2017Vetenskapligt granskad
Evaluating topography-based predictions of shallow lateral groundwater discharge zones for a boreal lake-stream system
Leach, J. A.; Lidberg, W.; Kuglerova, L. et al.
Forskningsartikel2017Vetenskapligt granskad
GIS-based prediction of stream chemistry using landscape composition, wet areas, and hydrological flow pathways
Tiwari, Tejshree; Lidman, Fredrik; Laudon, Hjalmar et al.
2016
Forskningsartikel2016Vetenskapligt granskad
Was Moshyttan the earliest iron blast furnace in Sweden? The sediment record as an archeological toolbox
Myrstener, Erik; Lidberg, William ; Segerström, Ulf et al.
2015
Forskningsartikel2015Vetenskapligt granskadÖppen tillgång
Mapping Temporal Dynamics in a Forest Stream Network-Implications for Riparian Forest Management
Ågren, Anneli; Lidberg, William ; Ring, Eva.
2014
Forskningsartikel2014Vetenskapligt granskadÖppen tillgång
Evaluating digital terrain indices for soil wetness mapping - a Swedish case study
Ågren, Anneli; Lidberg, William ; Strömgren, Monika et al.