Peter Surový

According to our database, Peter Surový authored at least 25 papers between 2016 and 2024.

Collaborative distances:

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

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., August, 2024

Noise Analysis for Unbiased Tree Diameter Estimation from Personal Laser Scanning Data.

Karel Kuzelka, Peter Surový

Remote. Sens., April, 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., February, 2024

Measuring the Canopy Architecture of Young Vegetation Using the Fastrak Polhemus 3D Digitizer.

Kristýna Sleglová, Jakub Brichta, Lukás Bílek, Peter Surový

Sensors, 2024

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

2023

Internal Tree Trunk Decay Detection Using Close-Range Remote Sensing Data and the PointNet Deep Learning Method.

Marek Hrdina, Peter Surový

Remote. Sens., December, 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, February, 2023

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

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

Forest digital twin as a relaxation environment: A pilot study.

Lukás Hejtmánek, Martin Hula, Anna Herrová, Peter Surový

Frontiers Virtual Real., 2022

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

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

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

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

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

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

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

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

Terrestrial Structure from Motion Photogrammetry for Deriving Forest Inventory Data.

Livia Piermattei, Wilfried Karel, Di Wang, Martin Wieser, Martin Mokros, Peter Surový, Milan Koren, Julián Tomastík, Norbert Pfeifer, Markus Hollaus

Remote. Sens., 2019

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

2018

Mapping Forest Structure Using UAS inside Flight Capabilities.

Karel Kuzelka, Peter Surový

Sensors, 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

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

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

2016

Accuracy of Reconstruction of the Tree Stem Surface Using Terrestrial Close-Range Photogrammetry.

Peter Surový, Atsushi Yoshimoto, Dimitrios Panagiotidis

Remote. Sens., 2016