Publication
GIS application to detect invasive species in aquatic ecosystems
| dc.contributor.author | Duarte, Lia | |
| dc.contributor.author | Castro, João Paulo | |
| dc.contributor.author | Sousa, Joaquim J. | |
| dc.contributor.author | Pádua, Luís | |
| dc.date.accessioned | 2023-01-03T10:45:08Z | |
| dc.date.available | 2023-01-03T10:45:08Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | 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. | pt_PT |
| dc.description.sponsorship | This research activity was funded by POCI-FEDER as part of the project “BIOCOMP – Produção de compostos orgânicos biológicos para o controlo do jacinto de água e para a valorização de subprodutos agropecuários, florestais e agroindustriais” (POCI-01-0247-FEDER-070123) and was supported by National Funds by FCT – Portuguese Foundation for Science and Technology, under the projects UIDB/04033/2020, UIDB/04683/2020 | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.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 | pt_PT |
| dc.identifier.doi | 10.1109/IGARSS46834.2022.9884895 | pt_PT |
| dc.identifier.isbn | 978-1-6654-2792-0 | |
| dc.identifier.uri | http://hdl.handle.net/10198/26229 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | IEEE | pt_PT |
| dc.relation | Centre for the Research and Technology of Agro-Environmental and Biological Sciences | |
| dc.relation | INSTITUTE OF EARTH SCIENCES | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Unmanned aerial vehicles | pt_PT |
| dc.subject | Sentinel-2 | pt_PT |
| dc.subject | Vegetation indices | pt_PT |
| dc.subject | QGIS | pt_PT |
| dc.subject | Water hyacinth | pt_PT |
| dc.title | GIS application to detect invasive species in aquatic ecosystems | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Centre for the Research and Technology of Agro-Environmental and Biological Sciences | |
| oaire.awardTitle | INSTITUTE OF EARTH SCIENCES | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04033%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04683%2F2020/PT | |
| oaire.citation.conferencePlace | Kuala Lumpur | pt_PT |
| oaire.citation.endPage | 6018 | pt_PT |
| oaire.citation.startPage | 6013 | pt_PT |
| oaire.citation.title | GARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Castro | |
| person.givenName | João Paulo | |
| person.identifier.ciencia-id | 8D19-DBCC-8EF5 | |
| person.identifier.orcid | 0000-0003-0647-8892 | |
| person.identifier.rid | A-8581-2014 | |
| person.identifier.scopus-author-id | 21233448700 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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