Segui
Martin Mokroš
Titolo
Citata da
Citata da
Anno
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
4002018
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
2342019
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
1242021
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
1222019
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
1092017
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
1082018
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
932020
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
902017
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
752016
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
712022
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
512017
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
462018
Kore n, M
L Piermattei, W Karel, D Wang, M Wieser, M Mokroš, P Surový
Tomaštík, J, 0
33
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
322019
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
302019
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
302017
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
292021
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
292019
The influence of vertical canopy structure on the cooling and humidifying urban microclimate during hot summer days
X Wang, MA Rahman, M Mokroš, T Rötzer, N Pattnaik, Y Pang, Y Zhang, ...
Landscape and Urban Planning 238, 104841, 2023
272023
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
272021
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