output
20172024
most citedSegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data

119 citations

8 papers

cs.CV2024★ 119 cited

SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data

Maciej Wielgosz, Stefano Puliti, Binbin Xiang +2

This research advances individual tree crown (ITC) segmentation in lidar data, using a deep learning model applicable to various laser scanning types: airborne (ULS), terrestrial (…

stat.AP2021★ 2 cited

Prediction of butt rot volume in Norway spruce forest stands using harvester, remotely sensed and environmental data

Janne Räty, Johannes Breidenbach, Marius Hauglin +1

Butt rot (BR) damages associated with Norway spruce (Picea abies [L.] Karst.) account for considerable economic losses in timber production across the northern hemisphere. While in…

stat.AP2020★ 19 cited

Timber Volume Estimation Based on Airborne Laser Scanning -- Comparing the Use of National Forest Inventory and Forest Management Inventory Data

Johannes Rahlf, Marius Hauglin, Rasmus Astrup +1

Large-scale forest resource maps based on national forest inventory (NFI) data and airborne laser scanning may facilitate synergies between NFIs and forest management inventories (…

stat.AP2020

Above-ground biomass change estimation using national forest inventory data with Sentinel-2 and Landsat 8

Stefano Puliti, Johannes Breidenbach, Johannes Schumacher +3

This study aimed at estimating total forest above-ground net change (Delta AGB, Mt) over five years (2014-2019) based on model-assisted estimation utilizing freely available satell…

stat.AP2020★ 82 cited

National mapping and estimation of forest area by dominant tree species using Sentinel-2 data

Johannes Breidenbach, Lars T. Waser, Misganu Debella-Gilo +5

Nation-wide Sentinel-2 mosaics were used with National Forest Inventory (NFI) data for modelling and subsequent mapping of spruce, pine and deciduous forest in Norway in 16 m $\tim…

cs.CV2019★ 44 cited

Addressing Overfitting on Pointcloud Classification using Atrous XCRF

Hasan Asyari Arief, Ulf Geir Indahl, Geir-Harald Strand +1

Advances in techniques for automated classification of pointcloud data introduce great opportunities for many new and existing applications. However, with a limited number of label…

physics.ao-ph2018

Modeling of small sea floaters in the central Mediterranean Sea: seasonality of at-sea distributions

Elena Shchekinova, Yogesh Kumkar

Floating marine debris represent a threat to marine and coastal ecology. Since the Mediterranean basin is one of the highly impacted regions, both by the coastal pollution as well…

q-bio.QM2017★ 5 cited

Elucidation of time-dependent systems biology cell response patterns with time course network enrichment

Christian Wiwie, Alexander Rauch, Anders Haakonsson +5

Advances in OMICS technologies emerged both massive expression data sets and huge networks modelling the molecular interplay of genes, RNAs, proteins and metabolites. Network enric…