Bernhard Höfle

About Bernhard Höfle

Bernhard Höfle, With an exceptional h-index of 40 and a recent h-index of 29 (since 2020), a distinguished researcher at Ruprecht-Karls-Universität Heidelberg, specializes in the field of Geoinformatics, Geomatics, Geoinformatik, Laser Scanning, Point Clouds.

His recent articles reflect a diverse array of research interests and contributions to the field:

How Tree Movement Influences Tree Metrics Derived from Laser Scanning Point Clouds

Simulating 4D scenes of rockfall and landslide activity for improved 3D point cloud-based change detection using machine learning

Machine-learning based 3D point cloud classification and multitemporal change analysis with simulated laser scanning data using open source scientific software

Integrating multi-user digitising actions for mapping gully outlines using a combined approach of Kalman filtering and machine learning

Deep learning with simulated laser scanning data for 3D point cloud classification

Classifying types of gully changes with unoccupied aircraft vehicles 3D multitemporal point clouds for training of satellite data analysis in Northwest Namibia

Measuring and Understanding the World Through Geoinformatics Using the Example of Natural Hazards

Automatic Classification of Surface Activity Types from Geographic 4D Monitoring Combining Virtual Laser Scanning, Change Analysis and Machine Learning

Bernhard Höfle Information

University

Position

3DGeo Research Group

Citations(all)

6482

Citations(since 2020)

3370

Cited By

4405

hIndex(all)

40

hIndex(since 2020)

29

i10Index(all)

103

i10Index(since 2020)

77

Email

University Profile Page

Google Scholar

Bernhard Höfle Skills & Research Interests

Geoinformatics

Geomatics

Geoinformatik

Laser Scanning

Point Clouds

Top articles of Bernhard Höfle

How Tree Movement Influences Tree Metrics Derived from Laser Scanning Point Clouds

2024/4

Simulating 4D scenes of rockfall and landslide activity for improved 3D point cloud-based change detection using machine learning

2024/4

Machine-learning based 3D point cloud classification and multitemporal change analysis with simulated laser scanning data using open source scientific software

2024/3/7

Bernhard Höfle
Bernhard Höfle

H-Index: 27

Lukas Winiwarter
Lukas Winiwarter

H-Index: 4

Integrating multi-user digitising actions for mapping gully outlines using a combined approach of Kalman filtering and machine learning

ISPRS Open Journal of Photogrammetry and Remote Sensing

2024/4/1

Katharina Anders
Katharina Anders

H-Index: 8

Bernhard Höfle
Bernhard Höfle

H-Index: 27

Deep learning with simulated laser scanning data for 3D point cloud classification

2024/1/16

Lukas Winiwarter
Lukas Winiwarter

H-Index: 4

Bernhard Höfle
Bernhard Höfle

H-Index: 27

Classifying types of gully changes with unoccupied aircraft vehicles 3D multitemporal point clouds for training of satellite data analysis in Northwest Namibia

Earth Surface Processes and Landforms

2024/1

Measuring and Understanding the World Through Geoinformatics Using the Example of Natural Hazards

2024

Bernhard Höfle
Bernhard Höfle

H-Index: 27

Automatic Classification of Surface Activity Types from Geographic 4D Monitoring Combining Virtual Laser Scanning, Change Analysis and Machine Learning

2024/3/7

Bernhard Höfle
Bernhard Höfle

H-Index: 27

Katharina Anders
Katharina Anders

H-Index: 8

E-TRAINEE: Open e-learning course on time series analysis in remote sensing

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2023/12/13

Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models

Forestry: An International Journal of Forest Research

2023/12/4

Potential and limitations of simulated airborne laser scanning data for forest biomass estimation

2023/9/7

Full four-dimensional change analysis of topographic point cloud time series using Kalman filtering

Earth Surface Dynamics

2023/7/18

Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data

International Journal of Applied Earth Observation and Geoinformation

2023/8/1

Katharina Anders
Katharina Anders

H-Index: 8

Bernhard Höfle
Bernhard Höfle

H-Index: 27

Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator

Forestry: An International Journal of Forest Research

2023/12

Multi-sensor monitoring and data integration reveal cyclical destabilization of the Äußeres Hochebenkar rock glacier

Earth Surface Dynamics Discussions

2022/9/12

Bernhard Höfle
Bernhard Höfle

H-Index: 27

Christoph Klug
Christoph Klug

H-Index: 8

Tracing Snow Cover Dynamics Using 4D Level-Sets on Near-Continuous Terrestrial Laser Scanning Time Series

2023

UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions of a forest plot in the black forest at Hundseck, Baden-Württemberg, Germany …

2023/2

Spatiotemporal tracking of surface processes through their change histories in dense 3D time series by implementing a time-extension on the 4D objects-by-change method

EGU General Assembly Conference Abstracts

2023/5

Katharina Anders
Katharina Anders

H-Index: 8

Bernhard Höfle
Bernhard Höfle

H-Index: 27

ER3DS-Emissionsreduktion in Smart Cities mit räumlicher 3D-Erfassung und Analyse

2022

Katharina Anders
Katharina Anders

H-Index: 8

Bernhard Höfle
Bernhard Höfle

H-Index: 27

Strategies of Managing Urban Tree Vegetation: A Study of Cities in Taiwan

2022

Katharina Anders
Katharina Anders

H-Index: 8

Bernhard Höfle
Bernhard Höfle

H-Index: 27

See List of Professors in Bernhard Höfle University(Ruprecht-Karls-Universität Heidelberg)

Co-Authors

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