Landscape indices behavior: A review of scale effects P Šímová, K Gdulová Applied geography 34, 385-394, 2012 | 213 | 2012 |
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 | 93 | 2019 |
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 | 83 | 2020 |
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 | 79 | 2018 |
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 | 70 | 2023 |
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 | 54 | 2020 |
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 | 49 | 2021 |
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 | 48 | 2020 |
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 | 40 | 2022 |
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 | 38 | 2021 |
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 | 34 | 2022 |
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 | 30 | 2020 |
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 | 30 | 2019 |
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 | 23 | 2023 |
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 | 12 | 2021 |
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 | 10 | 2024 |
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 | 4 | 2020 |
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 | 3 | 2024 |
Modelling the probability of building fires V Barták, K Gdulová, O Špatenková, A Bárta, P Šímová Geoinformatics FCE CTU 13, 37-48, 2014 | 2 | 2014 |
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 | 1 | 2024 |