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https://www.um.edu.mt/library/oar/handle/123456789/113596| Title: | Automated detection and classification of invasive Cardiospermum grandiflorum using multispectral orthophotos and deep learning models in Wied Babu, Malta |
| Other Titles: | XV International seminar biodiversity management and conservation - plant ecology and conservation in the Mediterranean area |
| Authors: | Lamoliere, Arthur Mifsud, M. Abela, J. Tavilla, Gianmarco Ghose Roy, Reeya Lanfranco, Sandro Mifsud, David |
| Keywords: | Alien plants -- Malta Invasive plants -- Malta Wied Babu (Żurrieq, Malta) Deep learning (Machine learning) Multispectral imaging Orthophotography |
| Issue Date: | 2023 |
| Publisher: | University of Catania |
| Citation: | Lamoliere, A., Mifsud, M., Abela, J., Tavilla, G., Ghose Roy, R., Lanfranco, S., & Mifsud, D. (2023). Automated detection and classification of invasive Cardiospermum grandiflorum using multispectral orthophotos and deep learning models in Wied Babu, Malta. In G. Giusso del Galdo, S. Sciandrello, A. Cristaudo, P. Minissale, M. Puglisi, V. Ranno, & G. Tavilla (Eds.), XV International seminar biodiversity management and conservation - Plant ecology and conservation in the Mediterranean area. Book of abstracts (p. 89). Italy: University of Catania. |
| Abstract: | The use of Unmanned Aerial Vehicles (UAV) mounted with Multispectr al cameras has significantly improved the field of remote sensing and currently allows ecological monitoring and mapping of vegetation cover to an unprecedented scale. With UAV based multispectral orthophotos, it is now possible to classify and identify pl ant species based on their spectral signatures by using the discrimination potential of the cameras exploiting the Infra Red spectrum. This study explores the use of Deep Learning Models on multispectral orthophotos for monitoring and mapping of the distri bution range of the highly Invasive Alien Plant species (IAPs) Showy Balloon Vine (Cardiospermum grandiflorum Sw.) in the watershed of Wied Babu, Malta. [Excerpt] |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/113596 |
| Appears in Collections: | Scholarly Works - FacSciBio |
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| Automated detection and classification of invasive Cardiospermum grandiflorum using multispectral orthophotos and deep learning models in Wied Babu Malta 2023.pdf Restricted Access | 232.47 kB | Adobe PDF | View/Open Request a copy |
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