GIS application to detect invasive species in aquatic ecosystems

Duarte, Lia; Castro, João Paulo; Sousa, Joaquim J.; Pádua, Luís

http://hdl.handle.net/10198/26229

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Authors

Duarte, Lia

Castro, João Paulo

Sousa, Joaquim J.

Pádua, Luís

Abstract(s)

The detection of invasive plant species in aquatic ecosystems is important to help in the control or to mitigate its spread and impacts. Remote sensing (RS) can be explored in this context, helping to monitor this type of plants. This study intends to present a free to use and opensource software application that, through a graphical user interface, can process remote sensed data to monitor the spread of invasive plant species in aquatic environments, enabling a multi-temporal monitoring. Both unmanned aerial vehicle and satellite-based data were used to validate the potential of the proposed application. A site containing water hyacinth (Eichhornia crassipes) was selected as case study. Both RS platforms provided effective data to detect the areas containing water hyacinth. Thus, this tool provides an alternative and user-friendly way to include RS-based data in ecological studies allowing the detection of invasive plants in water channels.

Keywords

Unmanned aerial vehicles Sentinel-2 Vegetation indices QGIS Water hyacinth

URI

http://hdl.handle.net/10198/26229

Citation

Duarte, Lia; Castro, João Paulo; Sousa, Joaquim; Pádua, Luís (2022). GIS application to detect invasive species in aquatic ecosystems. In GARSS 2022 - IEEE International Geoscience and Remote Sensing Symposium. Kuala Lumpur: IEEE. p. 6013-6018. ISBN 978-1-6654-2792-0