Assessing the potential of multi-seasonal Sentinel-2 satellite imagery combined with airborne LiDAR for urban tree species identification.

Jiang Y, Li X, Peng L, Li C, Song T

DOI: 10.1038/s41598-025-10971-6
Published: 2025 Jul 11
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-10971-6,
  title = {Assessing the potential of multi-seasonal Sentinel-2 satellite imagery combined with airborne LiDAR for urban tree species identification.},
  author = {Jiang Y and Li X and Peng L and Li C and Song T},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-10971-6},
  url = {https://doi.org/10.1038/s41598-025-10971-6}
}

RIS

TY  - JOUR
TI  - Assessing the potential of multi-seasonal Sentinel-2 satellite imagery combined with airborne LiDAR for urban tree species identification.
AU  - Jiang Y
AU  - Li X
AU  - Peng L
AU  - Li C
AU  - Song T
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-10971-6
UR  - https://doi.org/10.1038/s41598-025-10971-6
ER  -

APA

Y, J., X, L., L, P., C, L., & T, S. (2025). Assessing the potential of multi-seasonal Sentinel-2 satellite imagery combined with airborne LiDAR for urban tree species identification.. Scientific reports. https://doi.org/10.1038/s41598-025-10971-6

Source records

pubmed · retrieved 2026-09-27T15:10:31.578Z