119 citations · 255 across the 11 of their papers we have counts for
14 papers
Toward a foundation model for forest point clouds
Yuanwen Yue, Stefano Puliti, Damien Robert +7
Forest inventories increasingly rely on artificial intelligence (AI) models to derive forest attributes from large-scale 3D point clouds. Current models are typically specialized t…
Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset
Stefano Puliti, Emily R. Lines, Jana Müllerová +30
Proximally-sensed laser scanning offers significant potential for automated forest data capture, but challenges remain in automatically identifying tree species without additional…
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 (…
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning
Binbin Xiang, Maciej Wielgosz, Theodora Kontogianni +4
Detailed forest inventories are critical for sustainable and flexible management of forest resources, to conserve various ecosystem services. Modern airborne laser scanners deliver…
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees
Stefano Puliti, Grant Pearse, Peter Surový +4
The FOR-instance dataset (available at https://doi.org/10.5281/zenodo.8287792) addresses the challenge of accurate individual tree segmentation from laser scanning data, crucial fo…
Towards accurate instance segmentation in large-scale LiDAR point clouds
Binbin Xiang, Torben Peters, Theodora Kontogianni +4
Panoptic segmentation is the combination of semantic and instance segmentation: assign the points in a 3D point cloud to semantic categories and partition them into distinct object…
Point2Tree(P2T) -- framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest
Maciej Wielgosz, Stefano Puliti, Phil Wilkes +1
This article introduces Point2Tree, a novel framework that incorporates a three-stage process involving semantic segmentation, instance segmentation, optimization analysis of hyper…
Assessing and mitigating systematic errors in forest attribute maps utilizing harvester and airborne laser scanning data
Janne Räty, Marius Hauglin, Rasmus Astrup +1
Cut-to-length harvesters collect useful information for modeling relationships between forest attributes and airborne laser scanning (ALS) data. However, harvesters operate in matu…
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…
Improving living biomass C-stock loss estimates by combining optical satellite, airborne laser scanning, and NFI data
Johannes Breidenbach, Janis Ivanovs, Annika Kangas +3
Policy measures and management decisions aiming at enhancing the role of forests in mitigating climate-change require reliable estimates of C-stock dynamics in greenhouse gas inven…
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 (…
Prediction and model-assisted estimation of diameter distributions using Norwegian national forest inventory and airborne laser scanning data
Janne Räty, Rasmus Astrup, Johannes Breidenbach
Diameter at breast height (DBH) distributions offer valuable information for operational and strategic forest management decisions. We predicted DBH distributions using Norwegian n…
Mapping forest age using National Forest Inventory, airborne laser scanning, and Sentinel-2 data
Johannes Schumacher, Marius Hauglin, Rasmus Astrup +1
The age of forest stands is critical information for many aspects of forest management and conservation but area-wide information about forest stand age often does not exist. In th…
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…