GIS application to detect invasive species in aquatic ecosystems

Bibliographic Details
Main Author: Duarte, Lia
Publication Date: 2022
Other Authors: Castro, João Paulo, Sousa, Joaquim J., Pádua, Luís
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10198/26229
Summary: 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.
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spelling GIS application to detect invasive species in aquatic ecosystemsUnmanned aerial vehiclesSentinel-2Vegetation indicesQGISWater hyacinthThe 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.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/04683/2020IEEEBiblioteca Digital do IPBDuarte, LiaCastro, João PauloSousa, Joaquim J.Pádua, Luís2023-01-03T10:45:08Z20222022-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/26229engDuarte, 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 978-1-6654-2792-0978-1-6654-2792-010.1109/IGARSS46834.2022.9884895info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:17:11Zoai:bibliotecadigital.ipb.pt:10198/26229Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:44:43.903343Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv GIS application to detect invasive species in aquatic ecosystems
title GIS application to detect invasive species in aquatic ecosystems
spellingShingle GIS application to detect invasive species in aquatic ecosystems
Duarte, Lia
Unmanned aerial vehicles
Sentinel-2
Vegetation indices
QGIS
Water hyacinth
title_short GIS application to detect invasive species in aquatic ecosystems
title_full GIS application to detect invasive species in aquatic ecosystems
title_fullStr GIS application to detect invasive species in aquatic ecosystems
title_full_unstemmed GIS application to detect invasive species in aquatic ecosystems
title_sort GIS application to detect invasive species in aquatic ecosystems
author Duarte, Lia
author_facet Duarte, Lia
Castro, João Paulo
Sousa, Joaquim J.
Pádua, Luís
author_role author
author2 Castro, João Paulo
Sousa, Joaquim J.
Pádua, Luís
author2_role author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Duarte, Lia
Castro, João Paulo
Sousa, Joaquim J.
Pádua, Luís
dc.subject.por.fl_str_mv Unmanned aerial vehicles
Sentinel-2
Vegetation indices
QGIS
Water hyacinth
topic Unmanned aerial vehicles
Sentinel-2
Vegetation indices
QGIS
Water hyacinth
description 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.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2023-01-03T10:45:08Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/26229
url http://hdl.handle.net/10198/26229
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 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
978-1-6654-2792-0
10.1109/IGARSS46834.2022.9884895
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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