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Kateřina Gdulová
Kateřina Gdulová
Zweryfikowany adres z fzp.czu.cz
Tytuł
Cytowane przez
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Landscape indices behavior: A review of scale effects
P Šímová, K Gdulová
Applied geography 34, 385-394, 2012
2132012
Comparison of leaf-off and leaf-on combined UAV imagery and airborne LiDAR for assessment of a post-mining site terrain and vegetation structure: Prospects for monitoring …
V Moudrý, K Gdulová, M Fogl, P Klápště, R Urban, J Komárek, L Moudrá, ...
Applied geography 104, 32-41, 2019
932019
Sensitivity analysis of parameters and contrasting performance of ground filtering algorithms with UAV photogrammetry-based and LiDAR point clouds
P Klápště, M Fogl, V Barták, K Gdulová, R Urban, V Moudrý
International Journal of Digital Earth 13 (12), 1672-1694, 2020
832020
On the use of global DEMs in ecological modelling and the accuracy of new bare-earth DEMs
V Moudrý, V Lecours, K Gdulová, L Gábor, L Moudrá, J Kropáček, J Wild
Ecological Modelling 383, 3-9, 2018
792018
Vegetation structure derived from airborne laser scanning to assess species distribution and habitat suitability: The way forward
V Moudrý, AF Cord, L Gábor, GV Laurin, V Barták, K Gdulová, M Malavasi, ...
Diversity and Distributions 29 (1), 39-50, 2023
702023
Accuracy assessment of the global TanDEM-X digital elevation model in a mountain environment
K Gdulová, J Marešová, V Moudrý
Remote Sensing of Environment 241, 111724, 2020
542020
The role of the vegetation structure, primary productivity and senescence derived from airborne LiDAR and hyperspectral data for birds diversity and rarity on a restored site
V Moudrý, L Moudrá, V Barták, V Bejček, K Gdulová, M Hendrychová, ...
Landscape and Urban Planning 210, 104064, 2021
492021
Assessment of LiDAR ground filtering algorithms for determining ground surface of non-natural terrain overgrown with forest and steppe vegetation
V Moudrý, P Klápště, M Fogl, K Gdulová, V Barták, R Urban
Measurement 150, 107047, 2020
482020
Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non‐forest ecosystems
AM Cunliffe, K Anderson, F Boschetti, RE Brazier, HA Graham, ...
Remote Sensing in Ecology and Conservation 8 (1), 57-71, 2022
402022
Applicability of data acquisition characteristics to the identification of local artefacts in global digital elevation models: Comparison of the copernicus and tandem-x dems
J Marešová, K Gdulová, P Pracná, D Moravec, L Gábor, J Prošek, ...
Remote Sensing 13 (19), 3931, 2021
382021
Effects of environmental conditions on ICESat-2 terrain and canopy heights retrievals in Central European mountains
V Moudrý, K Gdulová, L Gábor, E Šárovcová, V Barták, F Leroy, ...
Remote Sensing of Environment 279, 113112, 2022
342022
Integration of hyperspectral and LiDAR data for mapping small water bodies
J Prošek, K Gdulová, V Barták, J Vojar, M Solský, D Rocchini, V Moudrý
International Journal of Applied Earth Observation and Geoinformation 92, 102181, 2020
302020
Potential pitfalls in rescaling digital terrain model-derived attributes for ecological studies
V Moudrý, V Lecours, M Malavasi, B Misiuk, L Gábor, K Gdulová, ...
Ecological Informatics 54, 100987, 2019
302019
Scale mismatches between predictor and response variables in species distribution modelling: A review of practices for appropriate grain selection
V Moudrý, P Keil, L Gábor, V Lecours, A Zarzo-Arias, V Barták, ...
Progress in Physical Geography: Earth and Environment 47 (3), 467-482, 2023
232023
Use of TanDEM-X and SRTM-C data for detection of deforestation caused by bark beetle in central european mountains
K Gdulová, J Marešová, V Barták, M Szostak, J Červenka, V Moudrý
Remote Sensing 13 (15), 3042, 2021
122021
Optimising occurrence data in species distribution models: sample size, positional uncertainty, and sampling bias matter
V Moudrý, M Bazzichetto, R Remelgado, R Devillers, J Lenoir, RG Mateo, ...
Ecography, e07294, 2024
102024
Drone-derived canopy height predicts biomass across non-forest ecosystems globally
AM Cunliffe, K Anderson, F Boschetti, RE Brazier, HA Graham, ...
bioRxiv, 2020.07. 16.206011, 2020
42020
Comparison of three global canopy height maps and their applicability to biodiversity modeling: Accuracy issues revealed
V Moudrý, L Gábor, S Marselis, P Pracná, V Barták, J Prošek, ...
Ecosphere 15 (10), e70026, 2024
32024
Modelling the probability of building fires
V Barták, K Gdulová, O Špatenková, A Bárta, P Šímová
Geoinformatics FCE CTU 13, 37-48, 2014
22014
How to Find Accurate Terrain and Canopy Height GEDI Footprints in Temperate Forests and Grasslands?
V Moudrý, J Prošek, S Marselis, J Marešová, E Šárovcová, K Gdulová, ...
Earth and Space Science 11 (10), e2024EA003709, 2024
12024
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