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:

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

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

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

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

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

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

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

Ruprecht-Karls-Universität Heidelberg

Google Scholar

View Google Scholar Profile

Bernhard Höfle Skills & Research Interests

Geoinformatics

Geomatics

Geoinformatik

Laser Scanning

Point Clouds

Top articles of Bernhard Höfle

Title

Journal

Author(s)

Publication Date

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

Miguel Vallejo Orti

Katharina Anders

Oluibukun Ajayi

Olaf Bubenzer

Bernhard Höfle

2024/4/1

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

Alberto M Esmorís

Hannah Weiser

Lukas Winiwarter

Jose C Cabaleiro

Bernhard Höfle

2024/1/16

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

Vivien Zahs

Bernhard Höfle

Maria Federer

Hannah Weiser

Ronald Tabernig

...

2024/3/7

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

Miguel Vallejo

C. Castillo

V. Zahs

O. Bubenzer

B. Höfle

2024/1

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

H. Weiser

A.M. Esmorís

B. Höfle

2024/4

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

R. Tabernig

V. Zahs

H. Weiser

B. Höfle

2024/4

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

Bernhard Höfle

2024

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

Bernhard Höfle

Ronald Tabernig

Vivien Zahs

Alberto M Esmorís Pena

Lukas Winiwarter

...

2024/3/7

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

Earth Surface Dynamics Discussions

Lea Hartl

Thomas Zieher

Magnus Bremer

Martin Stocker-Waldhuber

Vivien Zahs

...

2022/9/12

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

Jannika Schäfer

Lukas Winiwarter

Hannah Weiser

Jan Novotný

Bernhard Höfle

...

2023/12/4

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

R Arav

K Anders

F Pöppl

N Pfeifer

2023

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

Jannika Schäfer

Lukas Georg Winiwarter

Hannah Weiser

Jan Novotný

Bernhard Höfle

...

2023/9/7

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 …

Lukas Winiwarter

Katharina Anders

Guyen Battuvshin

Lucas Menzel

Bernhard Höfle

2023/2

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

Earth Surface Dynamics

Lukas Winiwarter

Katharina Anders

Daniel Czerwonka-Schröder

Bernhard Höfle

2023/7/18

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

Katharina Anders

Bernhard Höfle

2023/5

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

Vivien Zahs

Katharina Anders

Julia Kohns

Alexander Stark

Bernhard Höfle

2023/8/1

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

Jannika Schäfer

Hannah Weiser

Lukas Winiwarter

Bernhard Höfle

Sebastian Schmidtlein

...

2023/12

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

Markéta Potůčková

Jana Albrechtová

Katharina Anders

Lucie Červená

Jakub Dvořák

...

2023/12/13

Full 4D Change Analysis of Topographic Point Cloud Time Series using Kalman Filtering

Earth Surface Dynamics Discussions

Lukas Winiwarter

Katharina Anders

Daniel Schröder

Bernhard Höfle

2022/1/11

Human‐in‐the‐loop development of spatially adaptive ground point filtering pipelines—An archaeological case study

Archaeological Prospection

Michael Doneus

Bernhard Höfle

Dominic Kempf

Gwydion Daskalakis

Maria Shinoto

2022/10

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

Co-Authors

H-index: 96
Wolfgang Wagner

Wolfgang Wagner

Technische Universität Wien

H-index: 83
Thomas Blaschke

Thomas Blaschke

Universität Salzburg

H-index: 70
Wouter Dorigo

Wouter Dorigo

Technische Universität Wien

H-index: 64
Norbert Pfeifer

Norbert Pfeifer

Technische Universität Wien

H-index: 62
George Vosselman

George Vosselman

Universiteit Twente

H-index: 56
Alexander Zipf

Alexander Zipf

Ruprecht-Karls-Universität Heidelberg

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