Accuracy of Reconstruction of the Tree Stem Surface Using Terrestrial Close-Range Photogrammetry. - Peter Surový; Atsushi Yoshimoto; Dimitrios Panagiotidis (Remote. Sens., 2016)

Unmanned aerial vehicles (UAV) for assessment of qualitative classification of Norway spruce in temperate forest stands. - Olga V. Brovkina; Emil Cienciala; Peter Surový; Premysl Janata (Geo spatial Inf. Sci., 2018)

Evaluation of Close-Range Photogrammetry Image Collection Methods for Estimating Tree Diameters. - Martin Mokros; Xinlian Liang; Peter Surový; Peter Valent; Juraj Cernava; Frantisek Chudý; Daniel Tunák; Simon Salon; Ján Merganic (ISPRS Int. J. Geo Inf., 2018)

UAV Capability to Detect and Interpret Solar Radiation as a Potential Replacement Method to Hemispherical Photography. - Azadeh Abdollahnejad; Dimitrios Panagiotidis; Peter Surový; Iva Ulbrichová (Remote. Sens., 2018)

Mapping Forest Structure Using UAS inside Flight Capabilities. - Karel Kuzelka; Peter Surový (Sensors, 2018)

The Use of UAV Mounted Sensors for Precise Detection of Bark Beetle Infestation. - Tomás Kloucek; Jan Komárek; Peter Surový; Karel Hrach; Premysl Janata; Bedrich Vasícek (Remote. Sens., 2019)

Terrestrial Structure from Motion Photogrammetry for Deriving Forest Inventory Data. - Livia Piermattei; Wilfried Karel; Di Wang 006; Martin Wieser; Martin Mokros; Peter Surový; Milan Koren; Julián Tomastík; Norbert Pfeifer; Markus Hollaus (Remote. Sens., 2019)

UAV RTK/PPK Method - An Optimal Solution for Mapping Inaccessible Forested Areas? - Julián Tomastík; Martin Mokros; Peter Surový; Alzbeta Grznárová; Ján Merganic (Remote. Sens., 2019)

The Influence of Cross-Section Thickness on Diameter at Breast Height Estimation from Point Cloud. - Milan Koren; Milan Huncaga; Juliána Chudá; Martin Mokros; Peter Surový (ISPRS Int. J. Geo Inf., 2020)

Very High Density Point Clouds from UAV Laser Scanning for Automatic Tree Stem Detection and Direct Diameter Measurement. - Karel Kuzelka; Martin Slavík; Peter Surový (Remote. Sens., 2020)

UAV Laser Scans Allow Detection of Morphological Changes in Tree Canopy. - Martin Slavík; Karel Kuzelka; Roman Modlinger; Ivana Tomásková; Peter Surový (Remote. Sens., 2020)

A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties. - Stefano Puliti; Grant D. Pearse; Michael S. Watt; Edward T. A. Mitchard; Iain McNicol; Magnus Bremer; Martin Rutzinger; Peter Surový; Luke Wallace; Markus Hollaus; Rasmus Astrup (IGARSS, 2021)

Novel low-cost mobile mapping systems for forest inventories as terrestrial laser scanning alternatives. - Martin Mokros; Tomás Mikita; Arunima Singh; Julián Tomastík; Juliána Chudá; Piotr Wezyk; Karel Kuzelka; Peter Surový; Martin Klimánek; Karolina Zieba-Kulawik; Rogerio Bobrowski; Xinlian Liang (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Investigating the Correlation between Multisource Remote Sensing Data for Predicting Potential Spread of Ips typographus L. Spots in Healthy Trees. - Azadeh Abdollahnejad; Dimitrios Panagiotidis; Peter Surový; Roman Modlinger (Remote. Sens., 2021)

Inventory of close-to-nature forest stands using terrestrial mobile laser scanning. - Karel Kuzelka; Robert Marusák; Peter Surový (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Forest digital twin as a relaxation environment: A pilot study. - Lukás Hejtmánek; Martin Hula; Anna Herrová; Peter Surový (Frontiers Virtual Real., 2022)

Individual Tree Identification in ULS Point Clouds Using a Crown Width Mixed-Effects Model Based on NFI Data. - Jaroslav Kubista; Peter Surový (Remote. Sens., 2022)

FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees. - Stefano Puliti; Grant D. Pearse; Peter Surový; Luke Wallace; Markus Hollaus; Maciej Wielgosz; Rasmus Astrup (CoRR, 2023)

Comparison of Individual Sensors in the Electronic Nose for Stress Detection in Forest Stands. - Tereza Hüttnerová; Sebastian Paczkowski; Tarek Neubert; Anna Jirosová; Peter Surový (Sensors, 2023)

Internal Tree Trunk Decay Detection Using Close-Range Remote Sensing Data and the PointNet Deep Learning Method. - Marek Hrdina; Peter Surový (Remote. Sens., 2023)

New forest fire assessment model based on artificial neural network and analytic hierarchy process or fuzzy-analytic hierarchy process methodology for fire vulnerability map. - Meryem Tahri; Sanaa Badr; Zohreh Mohammadi; Jan Kaspar; Roman Bercák; Jaroslav Holusa; Peter Surový; Robert Marusák; Noura Yousfi (Eng. Appl. Artif. Intell., 2024)

Measuring the Canopy Architecture of Young Vegetation Using the Fastrak Polhemus 3D Digitizer. - Kristýna Sleglová; Jakub Brichta; Lukás Bílek; Peter Surový (Sensors, 2024)

Assessing Forest Species Diversity in Ghana's Tropical Forest Using PlanetScope Data. - Elisha Njomaba; James Nana Ofori; Reginald Tang Guuroh; Ben Emunah Aikins; Raymond Kwame Nagbija; Peter Surový (Remote. Sens., 2024)

Noise Analysis for Unbiased Tree Diameter Estimation from Personal Laser Scanning Data. - Karel Kuzelka; Peter Surový (Remote. Sens., 2024)

Comparative Analysis of Machine Learning Techniques and Data Sources for Dead Tree Detection: What Is the Best Way to Go? - Júlia Matejcíková; Dana Vébrová; Peter Surový (Remote. Sens., 2024)