Rasmus Astrup

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Remotely Sensed

Environmental Data

Top Venues

Int. J. Appl. Earth Obs. Geoinformation

Comput. Electron. Agric.

Publications

Maciej Wielgosz, Stefano Puliti, Binbin Xiang, Konrad Schindler, Rasmus Astrup
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data. CoRR (2024)
Binbin Xiang, Maciej Wielgosz, Theodora Kontogianni, Torben Peters, Stefano Puliti, Rasmus Astrup, Konrad Schindler
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning. CoRR (2023)
Binbin Xiang, Torben Peters, Theodora Kontogianni, Frawa Vetterli, Stefano Puliti, Rasmus Astrup, Konrad Schindler
Towards accurate instance segmentation in large-scale LiDAR point clouds. CoRR (2023)
Maciej Wielgosz, Stefano Puliti, Phil Wilkes, Rasmus Astrup
Point2Tree(P2T) - framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest. CoRR (2023)
Maciej Wielgosz, Stefano Puliti, Phil Wilkes, Rasmus Astrup
Point2Tree(P2T) - Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest. Remote. Sens. 15 (15) (2023)
Weria Khaksar, Rasmus Astrup
Multi-Sensor Terrestrial SLAM for Real-Time, Large-Scale, and GNSS-Interrupted Forest Mapping. CoRR (2023)
Stefano Puliti, Grant D. Pearse, Peter Surový, Luke Wallace, Markus Hollaus, Maciej Wielgosz, Rasmus Astrup
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees. CoRR (2023)
Stefano Puliti, Rasmus Astrup
Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery. Int. J. Appl. Earth Obs. Geoinformation 112 (2022)
Marian Schönauer, Robert Prinz, Kari Väätäinen, Rasmus Astrup, Dariusz Pszenny, Harri Lindeman, Dirk Jaeger
Spatio-temporal prediction of soil moisture using soil maps, topographic indices and SMAP retrievals. Int. J. Appl. Earth Obs. Geoinformation 108 (2022)
Benjamin Allen, Michele Dalponte, Hans Ole Ørka, Erik Næsset, Stefano Puliti, Rasmus Astrup, Terje Gobakken
UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce. Remote. Sens. 14 (15) (2022)
Clara Antón-Fernández, Rasmus Astrup
SiTree: A framework to implement single-tree simulators. SoftwareX 18 (2022)
Stefano Puliti, Grant D. Pearse, Michael S. Watt, Edward T. A. Mitchard, Iain McNicol, Magnus Bremer, Martin Rutzinger, Peter Surový, Luke Wallace, Markus Hollaus, Rasmus Astrup
A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties. IGARSS (2021)
Marian Schönauer, Kari Väätäinen, Robert Prinz, Harri Lindeman, Dariusz Pszenny, Martin Jansen, Joachim Maack, Bruce Talbot, Rasmus Astrup, Dirk Jaeger
Spatio-temporal prediction of soil moisture and soil strength by depth-to-water maps. Int. J. Appl. Earth Obs. Geoinformation 105 (2021)
Janne Räty, Johannes Breidenbach, Marius Hauglin, Rasmus Astrup
Prediction of butt rot volume in Norway spruce forest stands using harvester, remotely sensed and environmental data. Int. J. Appl. Earth Obs. Geoinformation 105 (2021)
Stefano Puliti, Johannes Breidenbach, Rasmus Astrup
Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data? Remote. Sens. 12 (8) (2020)
Fernando Rossi, Johannes Breidenbach, Stefano Puliti, Rasmus Astrup, Bruce Talbot
Assessing Harvested Sites in a Forested Boreal Mountain Catchment through Global Forest Watch. Remote. Sens. 11 (5) (2019)
Ahmad Ostovar, Bruce Talbot, Stefano Puliti, Rasmus Astrup, Ola Ringdahl
Detection and Classification of Root and Butt-Rot (RBR) in Stumps of Norway Spruce Using RGB Images and Machine Learning. Sensors 19 (7) (2019)
Nils Egil Søvde, Rasmus Astrup, Bruce Talbot
An inverse shortest path approach to find forwarder productivity functions. Comput. Electron. Agric. 161 (2019)
Ryan M. Bright, Rasmus Astrup
Combining MODIS and National Land Resource Products to Model Land Cover-Dependent Surface Albedo for Norway. Remote. Sens. 11 (7) (2019)
Marek Pierzchala, Philippe Giguère, Rasmus Astrup
Mapping forests using an unmanned ground vehicle with 3D LiDAR and graph-SLAM. Comput. Electron. Agric. 145 (2018)
Mathias Neumann, Adam Moreno, Christopher Thurnher, Volker Mues, Sanna Härkönen, Matteo Mura, Olivier Bouriaud, Mait Lang, Giuseppe Cardellini, Alain Thivolle-Cazat, Karol Bronisz, Ján Merganic, Iciar Alberdi, Rasmus Astrup, Frits Mohren, Maosheng Zhao, Hubert Hasenauer
Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests. Remote. Sens. 8 (7) (2016)
Svein Solberg, Dan Johan Weydahl, Rasmus Astrup
Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season. IEEE Trans. Geosci. Remote. Sens. 53 (3) (2015)
Svein Solberg, Rasmus Astrup, Dan Johan Weydahl
Detection of Forest Clear-Cuts with Shuttle Radar Topography Mission (SRTM) and Tandem-X InSAR Data. Remote. Sens. 5 (11) (2013)