Rasmus Astrup

Orcid: 0000-0003-2988-9520

According to our database1, Rasmus Astrup authored at least 22 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

Towards accurate instance segmentation in large-scale LiDAR point clouds.
CoRR, 2023

2022
SiTree: A framework to implement single-tree simulators.
SoftwareX, 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

An inverse shortest path approach to find forwarder productivity functions.
Comput. Electron. Agric., 2019

2018
Mapping forests using an unmanned ground vehicle with 3D LiDAR and graph-SLAM.
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


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