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Martin Mokroš
Martin Mokroš
Lecturer in Earth Observation, University College London
在 ucl.ac.uk 的电子邮件经过验证 - 首页
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引用次数
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International benchmarking of terrestrial laser scanning approaches for forest inventories
X Liang, J Hyyppä, H Kaartinen, M Lehtomäki, J Pyörälä, N Pfeifer, ...
ISPRS journal of photogrammetry and remote sensing 144, 137-179, 2018
3562018
UAV RTK/PPK method—an optimal solution for mapping inaccessible forested areas?
J Tomaštík, M Mokroš, P Surový, A Grznárová, J Merganič
Remote sensing 11 (6), 721, 2019
2082019
Terrestrial structure from motion photogrammetry for deriving forest inventory data
L Piermattei, W Karel, D Wang, M Wieser, M Mokroš, P Surový, M Koreň, ...
Remote Sensing 11 (8), 950, 2019
1152019
Accuracy of photogrammetric UAV-based point clouds under conditions of partially-open forest canopy
J Tomaštík, M Mokroš, Š Saloň, F Chudý, D Tunák
Forests 8 (5), 151, 2017
1032017
Novel low-cost mobile mapping systems for forest inventories as terrestrial laser scanning alternatives
M Mokroš, T Mikita, A Singh, J Tomaštík, J Chudá, P Wężyk, K Kuželka, ...
International Journal of Applied Earth Observation and Geoinformation 104 …, 2021
992021
Evaluation of close-range photogrammetry image collection methods for estimating tree diameters
M Mokroš, X Liang, P Surový, P Valent, J Čerňava, F Chudý, D Tunák, ...
ISPRS International Journal of Geo-Information 7 (3), 93, 2018
992018
Accuracy of tree diameter estimation from terrestrial laser scanning by circle-fitting methods
M Koreň, M Mokroš, T Bucha
International Journal of Applied Earth Observation and Geoinformation 63 …, 2017
822017
A spatially explicit database of wind disturbances in European forests over the period 2000–2018
G Forzieri, M Pecchi, M Girardello, A Mauri, M Klaus, C Nikolov, ...
Earth System Science Data 12 (1), 257-276, 2020
752020
Deriving 3D point clouds from terrestrial photographs comparison of different sensors and software
R Niederheiser, M Mokros, J Lange, H Petschko, G Prasicek, SO Elberink
23rd Congress of the International Society of Photogrammetry and Remote …, 2016
692016
Early stage forest windthrow estimation based on unmanned aircraft system imagery
M Mokroš, J Výbošťok, J Merganič, M Hollaus, I Barton, M Koreň, ...
Forests 8 (9), 306, 2017
482017
High precision individual tree diameter and perimeter estimation from close-range photogrammetry
M Mokroš, J Výbošťok, J Tomaštík, A Grznárová, P Valent, M Slavík, ...
Forests 9 (11), 696, 2018
442018
Close-Range Remote Sensing of Forests: The state of the art, challenges, and opportunities for systems and data acquisitions
X Liang, A Kukko, I Balenović, N Saarinen, S Junttila, V Kankare, ...
IEEE geoscience and remote sensing magazine 10 (3), 32-71, 2022
372022
Kore n, M
L Piermattei, W Karel, D Wang, M Wieser, M Mokroš, P Surový
Tomaštík, J, 0
31
Processing chain for estimation of tree diameter from GNSS-IMU-based mobile laser scanning data
J Čerňava, M Mokroš, J Tuček, M Antal, Z Slatkovská
Remote Sensing 11 (6), 615, 2019
292019
Identification of micro-scale landforms of landslides using precise digital elevation models
F Chudý, M Slámová, J Tomaštík, R Prokešová, M Mokroš
Geosciences 9 (3), 117, 2019
292019
Estimation of diameter at breast height from mobile laser scanning data collected under a heavy forest canopy.
J Čerňava, J Tuček, M Koreň, M Mokroš
282017
Evaluation of ipad pro 2020 lidar for estimating tree diameters in urban forest
X Wang, A Singh, Y Pervysheva, KE Lamatungga, V Murtinová, ...
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021
262021
The crown diameter estimation from fixed wing type of UAV imagery
A Grznárová, M Mokroš, P Surový, M Slavík, M Pondelík, J Merganič
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019
262019
Characterizing vegetation complexity with unmanned aerial systems (UAS)–a framework and synthesis
J Müllerová, X Gago, M Bučas, J Company, J Estrany, J Fortesa, ...
Ecological Indicators 131, 108156, 2021
192021
The handheld mobile laser scanners as a tool for accurate positioning under forest canopy
J Chudá, M Hunčaga, J Tuček, M Mokroš
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020
182020
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