Подписаться
Kateřina Gdulová
Kateřina Gdulová
Подтвержден адрес электронной почты в домене fzp.czu.cz
Название
Процитировано
Процитировано
Год
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
842020
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
812018
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
712023
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
532020
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
492020
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
482021
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
422022
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
392021
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
312020
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
312019
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
222023
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
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20