Phenological and Species-Level Classification of Aquatic Invasive Plants Using UAV Multispectral Imagery and Machine Learning

Salim, Daniel H. C.; Mello, Caio C. S.; Pereira, Gabriel; Maretto, Raian V.; Machado, Frederico Santos; Amorim, Camila C.

doi:https://doi.org/10.5194/isprs-annals-X-2-W2-2025-165-2025

Articles | Volume X-2/W2-2025

https://doi.org/10.5194/isprs-annals-X-2-W2-2025-165-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-annals-X-2-W2-2025-165-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume X-2/W2-2025

29 Oct 2025

| 29 Oct 2025

Phenological and Species-Level Classification of Aquatic Invasive Plants Using UAV Multispectral Imagery and Machine Learning

Daniel H. C. Salim, Caio C. S. Mello, Gabriel Pereira, Raian V. Maretto, Frederico Santos Machado, and Camila C. Amorim

Metrics will be available soon.

Latest update: 30 Oct 2025

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Useful Links

Useful External Links

Our Contact

ISPRS
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org