Water Hyacinth (Eichhornia crassipes) Detection Using Coarse and High Resolution Multispectral Data

Efficient detection and monitoring procedures of invasive plant species are required. It is of crucial importance to deal with such plants in aquatic ecosystems, since they can affect biodiversity and, ultimately, ecosystem function and services. In this study, it is intended to detect water hyacint...

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Veröffentlicht in:	Drones (Basel) 2022-02, Vol.6 (2), p.47
Hauptverfasser:	Pádua, Luís, Antão-Geraldes, Ana M., Sousa, Joaquim J., Rodrigues, Manuel Ângelo, Oliveira, Verónica, Santos, Daniela, Miguens, Maria Filomena P., Castro, João Paulo
Format:	Artikel
Sprache:	eng
Schlagworte:	Aquatic ecosystems Aquatic environment Aquatic plants Artificial neural networks Bandwidths Biodiversity Canals Classifiers Data acquisition Data analysis Datasets Fisheries High resolution invasive species machine learning multitemporal analysis Nonnative species Remote sensing Rivers Sensors Sentinel-2 Spatial data Spatial resolution Support vector machines Tourism Unmanned aerial vehicles Vegetation Water hyacinths
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Beschreibung
Zusammenfassung:	Efficient detection and monitoring procedures of invasive plant species are required. It is of crucial importance to deal with such plants in aquatic ecosystems, since they can affect biodiversity and, ultimately, ecosystem function and services. In this study, it is intended to detect water hyacinth (Eichhornia crassipes) using multispectral data with different spatial resolutions. For this purpose, high-resolution data (
ISSN:	2504-446X 2504-446X
DOI:	10.3390/drones6020047