Christoph Gollob

According to our database, Christoph Gollob authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Sensors for Digital Transformation in Smart Forestry.

Florian Ehrlich-Sommer, Ferdinand Hönigsberger, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Andreas Holzinger

Sensors, February, 2024

col-LAUT - Colorized point clouds of marked trees collected with Terrestrial and Personal laser scanning from Austrian forest stands.

Sarah Wagner, Alessa Angerschmid, Anna Saranti, Christoph Gollob, Tim Ritter, Ralf Krassnitzer, Andreas Tockner, Sarah Witzmann, Andreas Holzinger, Karl Stampfer, Arne Nothdurft

Dataset, February, 2024

2022

SKY-LAUT - Carriage-based laser scanner data from Austrian forest stands.

Christoph Gollob, Ralf Krassnitzer, Tim Ritter, Andreas Tockner, Gernot Erber, Martin Kühmaier, Ferdinand Hönigsberger, Thomas Varch, Andreas Holzinger, Karl Stampfer, Arne Nothdurft

Dataset, November, 2022

SKY-LAUT - Carriage-based laser scanner data from Austrian forest stands.

Christoph Gollob, Ralf Krassnitzer, Tim Ritter, Andreas Tockner, Gernot Erber, Martin Kühmaier, Ferdinand Hönigsberger, Thomas Varch, Andreas Holzinger, Karl Stampfer, Arne Nothdurft

Dataset, November, 2022

Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions.

Andreas Holzinger, Anna Saranti, Alessa Angerschmid, Carl Orge Retzlaff, Andreas Gronauer, Vladimir Pejakovic, Francisco Medel-Jimenez, Theresa Krexner, Christoph Gollob, Karl Stampfer

Sensors, 2022

Accuracy and Precision of Stem Cross-Section Modeling in 3D Point Clouds from TLS and Caliper Measurements for Basal Area Estimation.

Sarah Witzmann, Laura Matitz, Christoph Gollob, Tim Ritter, Ralf Kraßnitzer, Andreas Tockner, Karl Stampfer, Arne Nothdurft

Remote. Sens., 2022

Challenges in Artificial Intelligence for Smart Forestry.

Andreas Holzinger, Karl Stampfer, Arne Nothdurft, Christoph Gollob, Peter Kieseberg

ERCIM News, 2022

Automatic tree crown segmentation using dense forest point clouds from Personal Laser Scanning (PLS).

Andreas Tockner, Christoph Gollob, Ralf Kraßnitzer, Tim Ritter, Arne Nothdurft

Int. J. Appl. Earth Obs. Geoinformation, 2022

Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations.

Ferdinand Hönigsberger, Anna Saranti, Alessa Angerschmid, Carl Orge Retzlaff, Christoph Gollob, Sarah Witzmann, Arne Nothdurft, Peter Kieseberg, Andreas Holzinger, Karl Stampfer

Proceedings of the Machine Learning and Knowledge Extraction, 2022

2021

Measurement of Forest Inventory Parameters with Apple iPad Pro and Integrated LiDAR Technology.

Christoph Gollob, Tim Ritter, Ralf Kraßnitzer, Andreas Tockner, Arne Nothdurft

Remote. Sens., 2021

2020

Forest Inventory with Long Range and High-Speed Personal Laser Scanning (PLS) and Simultaneous Localization and Mapping (SLAM) Technology.

Christoph Gollob, Tim Ritter, Arne Nothdurft

Remote. Sens., 2020

Comparison of 3D Point Clouds Obtained by Terrestrial Laser Scanning and Personal Laser Scanning on Forest Inventory Sample Plots.

Christoph Gollob, Tim Ritter, Arne Nothdurft

Data, 2020

2019

Influence of Scanner Position and Plot Size on the Accuracy of Tree Detection and Diameter Estimation Using Terrestrial Laser Scanning on Forest Inventory Plots.

Christoph Gollob, Tim Ritter, Clemens Wassermann, Arne Nothdurft

Remote. Sens., 2019