Moudrý, V., Cord, A. F., Gábor, L., Laurin, G. V., Barták, V., Gdulová, K., … & Wild, J. (2022). Vegetation structure derived from airborne laser scanning to assess species distribution and habitat suitability: The way forward. Diversity and Distributions., XX, XX.
Gábor, L., Jetz, W., Lu, M., Rocchini, D., Cord, A., Malavasi, M., … & Moudrý, V. (2022). Positional errors in species distribution modelling are not overcome by the coarser grains of analysis. Methods in Ecology and Evolution, 13, 2289-2302..
Rocchini, D., Torresani, M., Beierkuhnlein, C., Feoli, E., Foody, G. M., Lenoir, J., …Moudrý, V.… & Ricotta, C. (2022). Double down on remote sensing for biodiversity estimation: a biological mindset. Community Ecology, XX, 1-10
Moudrý, V., Gdulová, K., Gábor, L., Šárovcová, E., Barták, V., Leroy, F., … & Prošek, J. (2022). Effects of environmental conditions on ICESat-2 terrain and canopy heights retrievals in Central European mountains. Remote Sensing of Environment, 279, 113112.
Rocchini, D., Santos, M. J., Ustin, S. L., Féret, J. B., Asner, G. P., Beierkuhnlein, C. …Moudrý, V.… & Lenoir, J. (2022). The spectral species concept in living color. Journal of Geophysical Research: Biogeosciences, 127, e2022JG007026.
Gábor, L., Šímová, P., Keil, P., Zarzo‐Arias, A., Marsh, C. J., Rocchini, D., … & Moudrý, V. (2022). Habitats as predictors in species distribution models: Shall we use continuous or binary data?. Ecography, e06022.
Rocchini, D., Thouverai, E., Marcantonio, M., Iannacito, M., Da Re, D., Torresani, M., …Moudrý, V.… & Wegmann, M. (2021). rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back. Methods in ecology and evolution, 12, 1093-1102.
Moudrý, V., Moudrá, L., Barták, V., Bejček, V., Gdulová, K., Hendrychová, M., … & Šálek, M. (2021). 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. Landscape and Urban Planning, 210, 104064.
Rocchini, D., Marcantonio, M., Da Re, D., Bacaro, G., Feoli, E., Foody, G. M., …Moudrý, V.… & Ricotta, C. (2021). From zero to infinity: Minimum to maximum diversity of the planet by spatio‐parametric Rao’s quadratic entropy. Global Ecology and Biogeography, 30, 1153-1162.
Marešová, J., Gdulová, K., Pracná, P., Moravec, D., Gábor, L., Prošek, J., … & Moudrý, V. (2021). Applicability of Data Acquisition Characteristics to the Identification of Local Artefacts in Global Digital Elevation Models: Comparison of the Copernicus and TanDEM-X DEMs. Remote Sensing, 13, 3931.
Rocchini, D., Salvatori, N., Beierkuhnlein, C., Chiarucci, A., De Boissieu, F., Förster, M., …Moudrý, V.… & Féret, J. B. (2021). From local spectral species to global spectral communities: A benchmark for ecosystem diversity estimate by remote sensing. Ecological informatics, 61, 101195.
Gdulová, K., Marešová, J., Barták, V., Szostak, M., Červenka, J., & Moudrý, V. (2021). Use of TanDEM-X and SRTM-C data for detection of deforestation caused by bark beetle in Central European Mountains. Remote Sensing, 13, 3042.
Malavasi, M., Bazzichetto, M., Komárek, J., Moudrý, V., Rocchini, D., Bagella, S., … & Carranza, M. L. (2021). Unmanned aerial systems‐based monitoring of the eco‐geomorphology of coastal dunes through spectral Rao’s Q. Applied Vegetation Science, 24, e12567
Gdulová, K., Marešová, J., & Moudrý, V. (2020). Accuracy assessment of the global TanDEM-X digital elevation model in a mountain environment. Remote Sensing of Environment, 241, 111724.
Moudrý, V., & Devillers, R. (2020). Quality and usability challenges of global marine biodiversity databases: An example for marine mammal data. Ecological Informatics, 101051.
Prošek, J., Gdulová, K., Barták, V., Vojar, J., Solský, M., Rocchini, D., & Moudrý, V. (2020). Integration of hyperspectral and LiDAR data for mapping small water bodies. International Journal of Applied Earth Observation and Geoinformation, 92, 102181.
Klápště, P., Fogl, M., Barták, V., Gdulová, K., Urban, R., & Moudrý, V. (2020). Sensitivity analysis of parameters and contrasting performance of ground filtering algorithms with UAV photogrammetry-based and LiDAR point clouds. International Journal of Digital Earth, 92, 102181.
Gábor, L., Moudrý, V., Lecours, V., Malavasi, M., Barták, V., Fogl, M., Šímová, P., Rocchini, D., & Václavík, T. (2020). The effect of positional error on fine scale species distribution models increases for specialist species. Ecography, 43, 256–269.
Moudrý, V., Klápště, P., Fogl, M., Gdulová, K., Barták, V., & Urban, R. (2020). Assessment of LiDAR ground filtering algorithms for determining ground surface of non-natural terrain overgrown with forest and steppe vegetation. Measurement, 150, 107047.
Gábor, L., Moudrý, V., Barták, V., & Lecours, V. (2020). How do species and data characteristics affect species distribution models and when to use environmental filtering?. International Journal of Geographical Information Science, 34, 1567-1584.
Moudrý, V., Lecours, V., Malavasi, M., Misiuk, B., Gábor, L., Gdulová, K., Šímová, P., & Wild, J. (2019). Potential pitfalls in rescaling digital terrain model-derived attributes for ecological studies. Ecological informatics, 2019, 100987.
Moudrý, V., Beková, A., & Lagner, O. (2019). Evaluation of a high resolution UAV imagery model for rooftop solar irradiation estimates. Remote Sensing Letters, 10(11), 1077-1085.
Moudrý, V., Gdulová, K., Fogl, M., Klápšťě, P., Urban, R., Komárek, J., Moudrá, L., Štroner, M., Barták, V., & Solský, M. (2019). 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 hazards and restoration success. Applied Geography, 32-41.
Moudrý, V.., Urban, R., Štroner, M., Komárek, J., Brouček, J., & Prošek, J. (2019). Comparison of a commercial and home-assembled fixed-wing UAV for terrain mapping of a post-mining site under leaf-off conditions. International Journal of Remote Sensing, 1-18.
Šímová, P., Moudrý, V., Komárek, J., Hrach, K., & Fortin, M. J. (2019). Fine scale waterbody data improve prediction of waterbird occurrence despite coarse species data. Ecography, 42, 511-520.
Moudrý, V., Lecours, V., Gdulová, K., Gábor, L., Moudrá, L., Kropáček, J., & Wild, J. (2018). On the use of global DEMs in ecological modelling and the accuracy of new bare-earth DEMs. Ecological Modelling, 383, 3-9.
Bazzichetto, M., Malavasi, M., Barták, V., Acosta, A. T. R., Moudrý, V., & Carranza, M. L. (2018). Modeling plant invasion on Mediterranean coastal landscapes: An integrative approach using remotely sensed data. Landscape and Urban Planning, 171, 98-106.
Moudrá, L., Zasadil, P., Moudrý, V., & Šálek, M. (2018). What makes new housing development unsuitable for house sparrows (Passer domesticus)?. Landscape and Urban Planning, 169, 124-130.
Moudrý, V., Komárek, J., & Šímová, P. (2017). Which breeding bird categories should we use in models of species distribution?. Ecological Indicators, 74, 526-529.
Fogl, M., & Moudrý, V. (2016). Influence of vegetation canopies on solar potential in urban environments. Applied Geography, 66, 73-80.
Moudrý, V. (2015). Modelling species distributions with simulated virtual species. Journal of Biogeography, 42(8), 1365-1366.
Kumhálová, J., & Moudrý, V. (2014). Topographical characteristics for precision agriculture in conditions of the Czech Republic. Applied Geography, 50, 90-98.
Moudrý, V., & Šímová, P. (2013). Relative importance of climate, topography, and habitats for breeding wetland birds with different latitudinal distributions in the Czech Republic. Applied Geography, 44, 165-171.
Moudrý, V., & Šímová, P. (2012). Influence of positional accuracy, sample size and scale on modelling species distributions: a review. International Journal of Geographical Information Science, 26(11), 2083-2095.