EVA 4.0

Subproject 5 (Forestry)

Abdollahnejad, A., & Panagiotidis, D. (2020). Tree species classification and health status assessment for a mixed broadleaf-conifer forest with uas multispectral imaging. Remote Sensing, 12(22), 1–21. https://doi.org/10.3390/rs12223722
Grznárová, A., Mokroš, M., Surový, P., Slavík, M., Pondelík, M., & Mergani, J. (2019). The crown diameter estimation from fixed wing type of uav imagery. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(2/W13), 337–341. https://doi.org/10.5194/isprs-archives-XLII-2-W13-337-2019
Konôpka, B., Barna, M., Bosela, M., & Lukac, M. (2020). Biomass allocation to resource acquisition compartments is affected by tree density manipulation in European beech after three decades. Forests, 11(9). https://doi.org/10.3390/f11090940
Konôpka, B., Pajtík, J., Bošeľa, M., Šebeň, V., & Shipley, L. A. (2020). Modeling forage potential for red deer (Cervus elaphus): a tree-level approach. European Journal of Forest Research, 139(3), 419–430. https://doi.org/10.1007/s10342-019-01250-x
Konôpka, B., Pajtík, J., Šebeň, V., & Merganičová, K. (2022). Modeling Bark Thickness and Bark Biomass on Stems of Four Broadleaved Tree Species. Plants, 11(9), 1148. https://doi.org/10.3390/plants11091148
Konôpka, B., Pajtík, J., Šebeň, V., Merganičová, K., & Surový, P. (2020). Silver birch aboveground biomass allocation pattern, stem and foliage traits with regard to intraspecific crown competition. Central European Forestry Journal, 66(3), 159–169. https://doi.org/10.2478/forj-2020-0013
Konôpka, B., Pajtík, J., Šebeň, V., Surový, P., & Merganičová, K. (2020). Biomass allocation into woody parts and foliage in young common aspen (Populus tremula l.)-trees and a stand-level study in thewestern Carpathians. Forests, 11(4), 464. https://doi.org/10.3390/F11040464
Konôpka, B., Pajtík, J., Šebeň, V., Surový, P., & Merganičová, K. (2021). Young silver birch grows faster and allocates higher portion of biomass into stem than norway spruce, a case study from a post-disturbance forest. Forests, 12(4), 433. https://doi.org/10.3390/f12040433
Konôpka, B., Pajtík, J., & Shipley, L. A. (2018). Intensity of red deer browsing on young rowans differs between freshly-felled and standing individuals. Forest Ecology and Management, 429, 511–519. https://doi.org/10.1016/j.foreco.2018.07.048
Konôpka, B., Šebe, V., & Pajtík, J. (2019). Species Composition and Carbon Stock of Tree Cover at a Postdisturbance Area in Tatra National Park, Western Carpathians. Mountain Research and Development, 39(1), R71–R80. https://doi.org/10.1659/MRD-JOURNAL-D-19-00008.1
Konôpka, B., Šebeň, V., & Merganičová, K. (2021). Forest regeneration patterns differ considerably between sites with and without windthrow wood logging in the high tatra mountains. Forests, 12(10), 1349. https://doi.org/10.3390/f12101349
Konôpka, J., Midriak, R., & Konôpka, B. (2018). Significant works of forestry research from the second half of 20th century in Slovakia. Central European Forestry Journal, 64(3–4), 157–179. https://doi.org/10.1515/forj-2017-0041
Koreň, M., Hunčaga, M., Chudá, J., Mokroš, M., & Surový, P. (2020). The influence of cross-section thickness on diameter at breast height estimation from point cloud. ISPRS International Journal of Geo-Information, 9(9), 495. https://doi.org/10.3390/ijgi9090495
Kuželka, K., & Surový, P. (2018). Mapping forest structure using uas inside flight capabilities. Sensors (Switzerland), 18(7), 2245. https://doi.org/10.3390/s18072245
Lalík, M., Holuša, J., Galko, J., Resnerová, K., Kunca, A., Nikolov, C., Mudrončeková, S., & Surový, P. (2019). Simple is best: Pine twigs are better than artificial lures for trapping of pine weevils in pitfall traps. Forests, 10(8), 642. https://doi.org/10.3390/f10080642
Liang, X., Kukko, A., Balenovic, I., Ninni, S., Junttila, S., Kankare, V., Holopainen, M., Martin, M., Surovy, P., Kaartinen, H., Luka, J., Honkavaara, E., Nasi, R., Jingbin, L., Hollaus, M., Tian, J., Yu, X., Jie, P., Shangshu, C., … Hyyppa, J. (2022). Close-Range Remote Sensing of Forests: The State of the Art, Challenges, and Opportunities for Systems and Data Acquisitions. IEEE Geoscience and Remote Sensing Magazine, 10(3), 32–71. https://doi.org/10.1109/MGRS.2022.3168135
Máliš, F., Konôpka, B., Šebeň, V., Pajtík, J., & Merganičová, K. (2021). Short-term dynamics of vegetation diversity and aboveground biomass of picea abies (L.) H. Karst. forests after heavy windstorm disturbance. Forests, 12(1), 1–14. https://doi.org/10.3390/f12010097
Mokroš, M., Liang, X., Surový, P., Valent, P., Čerňava, J., Chudý, F., Tunák, D., Saloň, I., & Merganič, J. (2018). Evaluation of close-Range photogrammetry image collection methods for estimating tree diameters. ISPRS International Journal of Geo-Information, 7(3), 93. https://doi.org/10.3390/ijgi7030093
Mokroš, M., Mikita, T., Singh, A., Tomaštík, J., Chudá, J., Wężyk, P., Kuželka, K., Surový, P., Klimánek, M., Zięba-Kulawik, K., Bobrowski, R., & Liang, X. (2021). Novel low-cost mobile mapping systems for forest inventories as terrestrial laser scanning alternatives. International Journal of Applied Earth Observation and Geoinformation, 104, 102512. https://doi.org/10.1016/j.jag.2021.102512
Mokroš, M., Výbošt’ok, J., Tomaštík, J., Grznárová, A., Valent, P., Slavík, M., & Merganič, J. (2018). High precision individual tree diameter and perimeter estimation from close-range photogrammetry. Forests, 9(11), 696. https://doi.org/10.3390/f9110696
Pajtík, J., Cihák, T., Konôpka, B., Merganičová, K., & Fabiánek, P. (2018). Annual tree mortality and felling rates in the Czech Republic and Slovakia over three decades. Central European Forestry Journal, 64(3–4), 238–248. https://doi.org/10.1515/forj-2017-0048
Panagiotidis, D., & Abdollahnejad, A. (2021a). Accuracy Assessment of Total Stem Volume Using Close-Range Sensing: Advances in Precision Forestry. Forests, 12(6), 717. https://doi.org/10.3390/f12060717
Panagiotidis, D., & Abdollahnejad, A. (2021b). Reliable estimates of merchantable timber volume from terrestrial laser scanning. Remote Sensing, 13(18), 3610. https://doi.org/10.3390/rs13183610
Panagiotidis, D., Abdollahnejad, A., & Slavík, M. (2021). Assessment of stem volume on plots using terrestrial laser scanner: A precision forestry application. Sensors (Switzerland), 21(1), 1–17. https://doi.org/10.3390/s21010301
Panagiotidis, D., Abdollahnejad, A., Surový, P., & Kuželka, K. (2019). Detection of fallen logs from high-resolution UAV images. New Zealand Journal of Forestry Science, 49(1). https://doi.org/10.33494/nzjfs492019x26x
Šebeň, V., & Konôpka, B. (2020). Tree height and species composition of young forest stands fifteen years after the large-scale wind disturbance in Tatra National Park. Central European Forestry Journal, 66(3), 131–140. https://doi.org/10.2478/forj-2020-0010
Šebeň, V., Kučera, M., Merganičová, K., & Konôpka, B. (2018). The current state of non-forest land in the Czech Republic and Slovakia-forest cover estimates based on the national inventory data. Central European Forestry Journal, 64(3–4), 207–222. https://doi.org/10.1515/forj-2017-0043
Tomaštík, J., Mokroš, M., Surový, P., Grznárová, A., & Merganič, J. (2019). UAV RTK/PPK method-An optimal solution for mapping inaccessible forested areas? Remote Sensing, 11(6), 721. https://doi.org/10.3390/RS11060721
Usoltsev, V. A., Merganičová, K., Konôpka, B., Osmirko, A. A., Tsepordey, I. S., & Chasovskikh, V. P. (2019). Fir (Abies spp.) stand biomass additive model for Eurasia sensitive to winter temperature and annual precipitation. Central European Forestry Journal, 66(3–4), 166–179. https://doi.org/10.2478/forj-2019-0017
van Oijen, M., Barcza, Z., Confalonieri, R., Korhonen, P., Kröel-Dulay, G., Lellei-Kovács, E., Louarn, G., Louault, F., Martin, R., Moulin, T., Movedi, E., Picon-Cochard, C., Rolinski, S., Viovy, N., Wirth, S. B., & Bellocchi, G. (2020). Incorporating biodiversity into biogeochemistry models to improve prediction of ecosystem services in temperate grasslands: Review and roadmap. Agronomy, 10(2), 259. https://doi.org/10.3390/agronomy10020259