Tim Ritter
Zitiert von
Zitiert von
Forest Inventory with Long Range and High-Speed Personal Laser Scanning (PLS) and Simultaneous Localization and Mapping (SLAM) Technology
C Gollob, T Ritter, A Nothdurft
Remote Sensing 12 (9), 1509, 2020
Approaches for estimating stand-level volume using terrestrial laser scanning in a single-scan mode
R Astrup, MJ Ducey, A Granhus, T Ritter, N von Lüpke
Canadian Journal of Forest Research 44 (6), 666-676, 2014
Measurement of Forest Inventory Parameters with Apple iPad Pro and Integrated LiDAR Technology
C Gollob, T Ritter, R Kraßnitzer, A Tockner, A Nothdurft
Remote Sensing 13 (16), 3129, 2021
Influence of Scanner Position and Plot Size on the Accuracy of Tree Detection and Diameter Estimation Using Terrestrial Laser Scanning on Forest Inventory Plots
C Gollob, T Ritter, C Wassermann, A Nothdurft
Remote Sensing 11 (13), 1602, 2019
Automatic Mapping of Forest Stands Based on Three-Dimensional Point Clouds Derived from Terrestrial Laser-Scanning
T Ritter, M Schwarz, A Tockner, F Leisch, A Nothdurft
Forests 8 (8), 265, 2017
Comparison of 3D point clouds obtained by terrestrial laser scanning and personal laser scanning on forest inventory sample plots
C Gollob, T Ritter, A Nothdurft
Data 5 (4), 103, 2020
Point transect sampling of deadwood: a comparison with well-established sampling techniques for the estimation of volume and carbon storage in managed forests
T Ritter, J Saborowski
European Journal of Forest Research 131, 1845-1856, 2012
Automatic Assessment of Crown Projection Area on Single Trees and Stand-Level, Based on Three-Dimensional Point Clouds Derived from Terrestrial Laser-Scanning
T Ritter, A Nothdurft
Forests 9 (5), 237, 2018
Correcting the nondetection bias of angle count sampling
T Ritter, A Nothdurft, J Saborowski
Canadian Journal of Forest Research 43 (999), 344-354, 2013
Efficient integration of a deadwood inventory into an existing forest inventory carried out as two-phase sampling for stratification
T Ritter, J Saborowski
Forestry: An International Journal of Forest Research 87 (4), 571-581, 2014
Automatic tree crown segmentation using dense forest point clouds from Personal Laser Scanning (PLS)
A Tockner, C Gollob, R Kraßnitzer, T Ritter, A Nothdurft
International Journal of Applied Earth Observation and Geoinformation 114 …, 2022
A Flexible Height–Diameter Model for Tree Height Imputation on Forest Inventory Sample Plots Using Repeated Measures from the Past
C Gollob, T Ritter, S Vospernik, C Wassermann, A Nothdurft
Forests 9 (6), 368, 2018
Accuracy and Precision of Stem Cross-Section Modeling in 3D Point Clouds from TLS and Caliper Measurements for Basal Area Estimation
S Witzmann, L Matitz, C Gollob, T Ritter, R Kraßnitzer, A Tockner, ...
Remote Sensing 14 (8), 1923, 2022
Estimating timber volume loss due to storm damage in Carinthia, Austria, using ALS/TLS and spatial regression models
A Nothdurft, C Gollob, R Kraßnitzer, G Erber, T Ritter, K Stampfer, ...
Forest Ecology and Management 502, 119714, 2021
Towards an Optimization of Sample Plot Size and Scanner Position Layout for Terrestrial Laser Scanning in Multi-Scan Mode
T Ritter, C Gollob, A Nothdurft
Forests 11 (10), 1099, 2020
The Contribution of Forest Structure to Complementarity in Mixed Stands of Norway Spruce (Picea abies L. Karst) and European Larch (Larix decidua Mill.)
H Sterba, G Dirnberger, T Ritter
Forests 9 (7), 410, 2018
Measurement of Individual Tree Parameters with Carriage-Based Laser Scanning in Cable Yarding Operations
C Gollob, R Krassnitzer, T Ritter, A Tockner, G Erber, M Kühmaier, ...
LAUT - Terrestrial and Personal laser scanner data from Austrian forest Inventory plots
C Gollob, T Ritter, A Nothdurft, 2020
Vertical Distribution of Leaf Area of European Larch (Larix decidua Mill.) and Norway Spruce (Picea abies (L.) Karst.) in Pure and Mixed Stands
H Sterba, G Dirnberger, T Ritter
Forests 10 (7), 570, 2019
Bark stripping damage by red deer (Cervus elaphus L.): assessing the spatial distribution on the stand level using generalised additive models
C Hahn, S Vospernik, C Gollob, T Ritter
European Journal of Forest Research, 1-16, 2023
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