Martin Mokros

According to our database, Martin Mokros authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A forestry investigation: Exploring factors behind improved tree species classification using bark images.

Gokul Kottilapurath Surendran, Deekshitha, Martin Lukac, Martin Lukac, Jozef Vybostok, Martin Mokros

Ecol. Informatics, 2025

2024

Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset.

Stefano Puliti, Emily R. Lines, Jana Müllerová, Julian Frey, Zoe Schindler, Adrian Straker, Matt Allen, Lukas Winiwarter, Nataliia Rehush, Hristina Hristova, Brent Murray, Kim Calders, Louise Terryn, Nicholas C. Coops, Bernhard Höfle, Samuli Junttila, Martin Krucek, Grzegorz Krok, Kamil Král, Shaun R. Levick, Linda Luck, Azim Missarov, Martin Mokros, Harry J. F. Owen, Krzysztof Sterenczak, Timo P. Pitkänen, Nicola Puletti, Ninni Saarinen, Chris Hopkinson, Chiara Torresan, Enrico Tomelleri, Hannah Weiser, Rasmus Astrup

CoRR, 2024

2023

Qualitative Analysis of Tree Canopy Top Points Extraction from Different Terrestrial Laser Scanner Combinations in Forest Plots.

Sunni Kanta Prasad Kushwaha, Arunima Singh, Kamal Jain, Jozef Vybostok, Martin Mokros

ISPRS Int. J. Geo Inf., June, 2023

Accuracy Assessment of Stem Classification Obtained from Forest Point Cloud Using FSCT Algorithm.

Sunni Kanta Prasad Kushwaha, Arunima Singh, Kamal Jain, Carlos Cabo, Martin Mokros

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Integrating Airborne and Terrestrial Laser Scanning for Complete 3D Model Generation in Dense Forest.

Sunni Kanta Prasad Kushwaha, Arunima Singh, Kamal Jain, Carlos Cabo, Martin Mokros

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

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

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

Processing Chain for Estimation of Tree Diameter from GNSS-IMU-Based Mobile Laser Scanning Data.

Juraj Cernava, Martin Mokros, Ján Tucek, Michal Antal, Zuzana Slatkovská

Remote. Sens., 2019

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

2017

Accuracy of tree diameter estimation from terrestrial laser scanning by circle-fitting methods.

Milan Koren, Martin Mokros, Tomás Bucha

Int. J. Appl. Earth Obs. Geoinformation, 2017