Rasmus Astrup
Orcid: 0000-0003-2988-9520
According to our database1,
Rasmus Astrup
authored at least 29 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Softw. Impacts, 2024
BranchPoseNet: Characterizing tree branching with a deep learning-based pose estimation approach.
CoRR, 2024
Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset.
CoRR, 2024
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data.
CoRR, 2024
2023
Point2Tree(P2T) - Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest.
Remote. Sens., August, 2023
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning.
CoRR, 2023
Multi-Sensor Terrestrial SLAM for Real-Time, Large-Scale, and GNSS-Interrupted Forest Mapping.
CoRR, 2023
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees.
CoRR, 2023
2022
Climate targets in European timber-producing countries conflict with goals on forest ecosystem services and biodiversity.
Dataset, June, 2022
Climate targets in European timber-producing countries conflict with goals on forest ecosystem services and biodiversity.
Dataset, June, 2022
Climate targets in European timber-producing countries conflict with goals on forest ecosystem services and biodiversity.
Dataset, June, 2022
UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce.
Remote. Sens., 2022
Spatio-temporal prediction of soil moisture using soil maps, topographic indices and SMAP retrievals.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Spatio-temporal prediction of soil moisture and soil strength by depth-to-water maps.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Prediction of butt rot volume in Norway spruce forest stands using harvester, remotely sensed and environmental data.
Int. J. Appl. Earth Obs. Geoinformation, 2021
A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?
Remote. Sens., 2020
2019
Detection and Classification of Root and Butt-Rot (RBR) in Stumps of Norway Spruce Using RGB Images and Machine Learning.
Sensors, 2019
Assessing Harvested Sites in a Forested Boreal Mountain Catchment through Global Forest Watch.
Remote. Sens., 2019
Combining MODIS and National Land Resource Products to Model Land Cover-Dependent Surface Albedo for Norway.
Remote. Sens., 2019
Comput. Electron. Agric., 2019
2018
Comput. Electron. Agric., 2018
2016
Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests.
Remote. Sens., 2016
2015
Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season.
IEEE Trans. Geosci. Remote. Sens., 2015
2013
Detection of Forest Clear-Cuts with Shuttle Radar Topography Mission (SRTM) and Tandem-X InSAR Data.
Remote. Sens., 2013