| Review of studies on tree species classification from remotely sensed data FE Fassnacht, H Latifi, K Stereńczak, A Modzelewska, M Lefsky, LT Waser, ... Remote sensing of environment 186, 64-87, 2016 | 1162 | 2016 |
| Climatic controls of decomposition drive the global biogeography of forest-tree symbioses SB all. Nature 569, 404-408, 2019 | 699 | 2019 |
| Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission L Duncanson, JR Kellner, J Armston, R Dubayah, DM Minor, S Hancock, ... Remote Sensing of Environment 270, 112845, 2022 | 437 | 2022 |
| Integrated global assessment of the natural forest carbon potential L Mo, CM Zohner, PB Reich, J Liang, S De Miguel, GJ Nabuurs, ... Nature 624 (7990), 92-101, 2023 | 424 | 2023 |
| The 2018 European heatwave led to stem dehydration but not to consistent growth reductions in forests RL Salomón, RL Peters, R Zweifel, UGW Sass-Klaassen, AI Stegehuis, ... Nature communications 13 (1), 28, 2022 | 185 | 2022 |
| The number of tree species on Earth R Cazzolla Gatti, PB Reich, JGP Gamarra, T Crowther, C Hui, A Morera, ... Proceedings of the National Academy of Sciences 119 (6), e2115329119, 2022 | 171 | 2022 |
| Testing and evaluating different LiDAR-derived canopy height model generation methods for tree height estimation M Mielcarek, K Stereńczak, A Khosravipour International journal of applied earth observation and geoinformation 71 …, 2018 | 170 | 2018 |
| Forest biomass retrieval approaches from earth observation in different biomes P Rodríguez-Veiga, S Quegan, J Carreiras, HJ Persson, JES Fransson, ... International Journal of Applied Earth Observation and Geoinformation 77, 53-68, 2019 | 135 | 2019 |
| What do we expect from forests? The European view of public demands M Ciesielski, K Stereńczak Journal of environmental management 209, 139-151, 2018 | 125 | 2018 |
| Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data A Modzelewska, FE Fassnacht, K Stereńczak International journal of applied earth observation and geoinformation 84, 101960, 2020 | 116 | 2020 |
| 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 | 111 | 2023 |
| Co-limitation towards lower latitudes shapes global forest diversity gradients J Liang, JGP Gamarra, N Picard, M Zhou, B Pijanowski, DF Jacobs, ... Nature ecology & evolution 6 (10), 1423-1437, 2022 | 110 | 2022 |
| The Forest Observation System, building a global reference dataset for remote sensing of forest biomass D Schepaschenko, J Chave, OL Phillips, SL Lewis, SJ Davies, ... Scientific data 6 (1), 198, 2019 | 93 | 2019 |
| Native diversity buffers against severity of non-native tree invasions CS Delavaux, TW Crowther, CM Zohner, NM Robmann, T Lauber, ... Nature 621 (7980), 773-781, 2023 | 91 | 2023 |
| Species-related single dead tree detection using multi-temporal ALS data and CIR imagery A Kamińska, M Lisiewicz, K Stereńczak, B Kraszewski, R Sadkowski Remote Sensing of Environment 219, 31-43, 2018 | 86 | 2018 |
| Lidar point cloud based fully automatic 3D single tree modelling in forest and evaluations of the procedure Y Wang, H Weinacker, B Koch, K Sterenczak Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci 37 (Part B6b), 45-51, 2008 | 82 | 2008 |
| Factors influencing the accuracy of ground-based tree-height measurements for major European tree species K Stereńczak, M Mielcarek, B Wertz, K Bronisz, G Zajączkowski, ... Journal of environmental management 231, 1284-1292, 2019 | 77 | 2019 |
| LiDAR data fusion to improve forest attribute estimates: A review M Balestra, S Marselis, TT Sankey, C Cabo, X Liang, M Mokroš, X Peng, ... Current Forestry Reports 10 (4), 281-297, 2024 | 76 | 2024 |
| Comparison of various algorithms for DTM interpolation from LIDAR data in dense mountain forests K Stereńczak, M Ciesielski, R Balazy, T Zawiła-Niedźwiecki European Journal of Remote Sensing 49 (1), 599-621, 2016 | 76 | 2016 |
| Potential use of hyperspectral data to classify forest tree species T Hycza, K Stereńczak, R Bałazy New Zealand Journal of Forestry Science 48 (1), 18, 2018 | 73 | 2018 |
Bartłomiej KraszewskiForest Research InstituteVerified email at ibles.waw.pl
