RT Journal Article
T1 Remote sensing for monitoring and assessment of invasive herbaceous plants: the case of Oenothera drummondii in coastal ecosystems
A1 Hidalgo Fernández, Pablo José
A1 Montiel, Nuria
A1 Ortega Moreno, Mónica
A1 Fernández de Villarán San Juan, Rubén
A1 Pérez Carral Lorenzo, María Cristina
AB Invasive exotic species pose a serious threat to biodiversity, particularly in fragile and degraded habitats. This is the case with Oenothera drummondii, which significantly affects certain coastal areas of the Iberian Peninsula. This study area focuses on the Odiel Marshes Natural Area, where populations of this herbaceous plant are drastically affecting native vegetation. The objective is to develop a methodology for the automatic detection of individuals of this species with Unmanned Aerial Vehicles (UAV) equipped with multispectral cameras. The final goal is to optimize monitoring, control, and potential eradication activities.A photogrammetric flight was carried out over 26.26 ha using a DJI Mavic 3Multiespectral. The model used to distinguish the invasive species from the native vegetation in the area was the C5.0 classification model. A total of 800 individuals were analysed using this model, including samples of the invasive species and three of the most abundant native plant species with a similar appearance. The classification tree results were extrapolated to the entire study area. The results indicate that the use of multispectral bands and vegetation indices allows the C5.0 model to classify the studied species with an error rate of 15.4%. The subsequent application of the classification tree obtained across the entire study area resulted in the detection of O. drummondii with an accuracy rate of 83%, demonstrating that this UAV-based technique enables the identification of exotic invasive herbaceous species. This methodology could contribute to management of the species and could be easily applied to other affected areas and species worldwide.
PB Pensoft Publishers
SN 1619-0033
SN 1314-2488 (electrónico)
YR 2025
FD 2025
LK https://hdl.handle.net/10272/27129
UL https://hdl.handle.net/10272/27129
LA eng
NO Hidalgo, P. J., Montiel, N., Ortega-Moreno, M., Fernández de Villarán, R., & Pérez-Carral, C. (2025). Remote sensing for monitoring and assessment of invasive herbaceous plants: the case of Oenothera drummondii in coastal ecosystems. NeoBiota, 99, 323–340. https://doi.org/10.3897/neobiota.99.151472
DS Repositorio Institucional de la Universidad de Huelva
RD 31 may 2026