Christoph Gollob
Orcid: 0000-0002-7036-5115
According to our database1,
Christoph Gollob
authored at least 15 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Spatial Prediction of Diameter Distributions for the Alpine Protection Forests in Ebensee, Austria, Using ALS/PLS and Spatial Distributional Regression Models.
Remote. Sens., June, 2024
col-LAUT - Colorized point clouds of marked trees collected with Terrestrial and Personal laser scanning from Austrian forest stands.
Dataset, February, 2024
Automatic detection of color markings and numbers on trees in point clouds from Personal Laser Scanning (PLS) and Terrestrial Laser Scanning (TLS).
Ecol. Informatics, 2024
2022
Dataset, November, 2022
Dataset, November, 2022
Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions.
Sensors, 2022
Accuracy and Precision of Stem Cross-Section Modeling in 3D Point Clouds from TLS and Caliper Measurements for Basal Area Estimation.
Remote. Sens., 2022
Automatic tree crown segmentation using dense forest point clouds from Personal Laser Scanning (PLS).
Int. J. Appl. Earth Obs. Geoinformation, 2022
Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations.
Proceedings of the Machine Learning and Knowledge Extraction, 2022
2021
Measurement of Forest Inventory Parameters with Apple iPad Pro and Integrated LiDAR Technology.
Remote. Sens., 2021
2020
Forest Inventory with Long Range and High-Speed Personal Laser Scanning (PLS) and Simultaneous Localization and Mapping (SLAM) Technology.
Remote. Sens., 2020
Comparison of 3D Point Clouds Obtained by Terrestrial Laser Scanning and Personal Laser Scanning on Forest Inventory Sample Plots.
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.
Remote. Sens., 2019