Articles | Volume 22, issue 21
https://doi.org/10.5194/bg-22-6393-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
06 Nov 2025
Research article |
| 06 Nov 2025
| 06 Nov 2025
Very-high resolution aerial imagery and deep learning uncover the fine-scale patterns of elevational treelines
Related authors
Biogeosciences, 22, 4349–4366, 2025
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W8-2024, 9–15, 2024
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1115–1120, 2022
Cited articles
Ball, J. G. C., Hickman, S. H. M., Jackson, T. D., Koay, X. J., Hirst, J., Jay, W., Archer, M., Aubry-Kientz, M., Vincent, G., and Coomes, D. A.: Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R-CNN, Remote Sensing in Ecology and Conservation, 9, 641–655, https://doi.org/10.1002/rse2.332, 2023.
Barros, C., Guéguen, M., Douzet, R., Carboni, M., Boulangeat, I., Zimmermann, N. E., Münkemüller, T., and Thuiller, W.: Extreme climate events counteract the effects of climate and land-use changes in Alpine tree lines, Journal of Applied Ecology, 54, 39–50, https://doi.org/10.1111/1365-2664.12742, 2017.
Bätzing, W., Perlik, M., and Dekleva, M.: Urbanization and Depopulation in the Alps, Mountain Research and Development, 16, 335–350, https://doi.org/10.2307/3673985, 1996.
Beloiu, M., Heinzmann, L., Rehush, N., Gessler, A., and Griess, V. C.: Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and Deep Learning, Remote Sensing, 15, 1463, https://doi.org/10.3390/rs15051463, 2023.
Bennett, L., Yu, Z., Wasowski, R., Selland, S., Otway, S., and Boisvert, J.: Individual tree detection and classification from RGB satellite imagery with applications to wildfire fuel mapping and exposure assessments, International Journal of Wildland Fire, 33, https://doi.org/10.1071/WF24008, 2024.
