Christoph Gollob

发表

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

A. Nothdurft, Karl Stampfer, Sarah Witzmann, 2022, Remote. Sens..

Estimating timber volume loss due to storm damage in Carinthia, Austria, using ALS/TLS and spatial regression models

Karl Stampfer, Andrew O. Finley, Gernot Erber, 2021, Forest Ecology and Management.

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

A. Nothdurft, Christoph Gollob, Tim Ritter, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Bark stripping damage by red deer (Cervus elaphus L.): assessing the spatial distribution on the stand level using generalised additive models

C. Hahn, Christoph Gollob, Tim Ritter, 2023, European Journal of Forest Research.

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

Christoph Gollob, Arne Nothdurft, Tim Ritter, 2021, Remote. Sens..

A Flexible Height–Diameter Model for Tree Height Imputation on Forest Inventory Sample Plots Using Repeated Measures from the Past

A. Nothdurft, Christoph Gollob, Tim Ritter, 2018, Forests.

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, Arne Nothdurft, 2019, Remote. Sens..

Stem-Level Bucking Pattern Optimization in Chainsaw Bucking Based on Terrestrial Laser Scanning Data

A. Nothdurft, Gernot Erber, Christoph Gollob, 2022, Croatian journal of forest engineering.

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

A. Gronauer, Anna Saranti, Andreas Holzinger, 2022, Sensors.

A Robust Method for Detecting Wind-Fallen Stems from Aerial RGB Images Using a Line Segment Detection Algorithm

A. Nothdurft, Christoph Gollob, Tim Ritter, 2022, Forests.

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, 2020, Remote. Sens..

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, 2020, Data.

A Prototype for Automated Delimitation of Work Cycles from Machine Sensor Data in Cable Yarding Operations

A. Holzinger, R. Visser, R. Spinelli, 2023, Croatian journal of forest engineering.

Exploring artificial intelligence for applications of drones in forest ecology and management

A. Holzinger, Peter Kieseberg, A. Nothdurft, 2024, Forest Ecology and Management.

Spatial prediction of diameter distributions for the alpine protection forests in Ebensee, Austria, using ALS/PLS and spatial distributional regression models

A. Nothdurft, Sarah Witzmann, Christoph Gollob, 2023, 2311.01893.

Towards an Optimization of Sample Plot Size and Scanner Position Layout for Terrestrial Laser Scanning in Multi-Scan Mode

Christoph Gollob, Tim Ritter, Arne Nothdurft, 2020, Forests.

Automatic detection of color markings and numbers on trees in point clouds from Personal Laser Scanning (PLS) and Terrestrial Laser Scanning (TLS)

A. Nothdurft, Anna Saranti, Sarah Witzmann, 2024, Ecological Informatics.

Simulating cable corridors based on terrestrial LiDAR data

A. Nothdurft, Christoph Gollob, Charles Retzlaff, 2024, European journal of forest research.

Sensors for Digital Transformation in Smart Forestry

A. Nothdurft, Christoph Gollob, K. Stampfer, 2024, Sensors.