15 citations as recorded by crossref.

1. Implementing a growth pattern of climax community as post-processing filters core to improve tree species classification accuracy B. Zhang et al. https://doi.org/10.1080/17538947.2025.2498601
2. Multi-Temporal Fusion of Sentinel-1 and Sentinel-2 Data for High-Accuracy Tree Species Identification in Subtropical Regions H. Li et al. https://doi.org/10.3390/rs18040592
3. Integrating ChloroNet and XAI for accurate SPAD prediction in rice M. Abbasi et al. https://doi.org/10.1016/j.rsase.2026.101971
4. Combining Sentinel-2 time-series and SITS-BERT for area-wide mapping of eight central European tree species J. Költzow et al. https://doi.org/10.1093/forestry/cpag042
5. Geometry-Constrained Reference Sample Construction from Forest Inventory Compartments for Dominant Tree Species Mapping P. Zheng et al. https://doi.org/10.3390/rs18172915
6. Multi-temporal Sentinel-2 images and LiDAR data fusion in dominant tree species classification D. Rim & I. Farah https://doi.org/10.1007/s41060-026-01218-2
7. Identifying (less) vulnerable forest structures to storms in different conifer-dominated European forest landscapes by simple spaceborne proxies B. Garamszegi et al. https://doi.org/10.1139/cjfr-2025-0115
8. Predicting rice crop height from field and Sentinel-2 data M. Abbasi et al. https://doi.org/10.1080/01431161.2025.2582213
9. Large-scale mapping and uncertainty assessment of dominant tree species in southern China based on Sentinel-2 time series B. Yang et al. https://doi.org/10.1016/j.jenvman.2025.126293
10. Switcher-HNet: A switchable hierarchical network for tree species classification from forest stand to individual tree tasks S. Liu et al. https://doi.org/10.1016/j.isprsjprs.2025.10.040
11. Species information in multi-temporal Sentinel-2 data improves forest canopy height estimation C. Choi et al. https://doi.org/10.1016/j.agrformet.2026.111114
12. Advances in tree detection and species classification using remote sensing data: a review V. Yilmaz https://doi.org/10.1080/14498596.2026.2658529
13. Machine learning-based geospatial assessment of forest structure characteristics and sequestration potential for informed carbon stocks inventories U. Tasuev et al. https://doi.org/10.1038/s41598-026-50929-w
14. Development of transferable hybrid deep learning networks for temporal and multi-regional mapping of poplar plantations with Sentinel-2 M. Ozturk & I. Colkesen https://doi.org/10.1016/j.asr.2025.07.075
15. Classification of Dominant Tree Species and Vegetation Types Based on Sentinel-2 Time-Series Multispectral Data in the Eastern Qilian Mountains J. Yu et al. https://doi.org/10.1109/JSTARS.2025.3646463