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Rasmus Astrup
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Journal Articles
- 2023
- [j16]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): 3737 (2023) - 2022
- [j15]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: 102730 (2022) - [j14]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: 102946 (2022) - [j13]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): 3830 (2022) - [j12]Clara Antón-Fernández
, Rasmus Astrup:
SiTree: A framework to implement single-tree simulators. SoftwareX 18: 100925 (2022) - 2021
- [j11]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: 102614 (2021) - [j10]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: 102624 (2021) - 2020
- [j9]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): 1245 (2020) - 2019
- [j8]Nils Egil Søvde, Rasmus Astrup, Bruce Talbot
:
An inverse shortest path approach to find forwarder productivity functions. Comput. Electron. Agric. 161: 53-61 (2019) - [j7]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): 543 (2019) - [j6]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): 871 (2019) - [j5]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): 1579 (2019) - 2018
- [j4]Marek Pierzchala, Philippe Giguère
, Rasmus Astrup:
Mapping forests using an unmanned ground vehicle with 3D LiDAR and graph-SLAM. Comput. Electron. Agric. 145: 217-225 (2018) - 2016
- [j3]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): 554 (2016) - 2015
- [j2]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): 1607-1614 (2015) - 2013
- [j1]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): 5449-5462 (2013)
Conference and Workshop Papers
- 2021
- [c1]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: 728-730
Informal and Other Publications
- 2024
- [i6]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 abs/2401.15739 (2024) - 2023
- [i5]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 abs/2305.02651 (2023) - [i4]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 abs/2307.02877 (2023) - [i3]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 abs/2309.01279 (2023) - [i2]Weria Khaksar, Rasmus Astrup:
Multi-Sensor Terrestrial SLAM for Real-Time, Large-Scale, and GNSS-Interrupted Forest Mapping. CoRR abs/2310.01064 (2023) - [i1]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 abs/2312.15084 (2023)
Coauthor Index
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