Publicação
A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021)
| Resumo: | Small oceanic islands, such as São Miguel Island in the Azores (Portugal), face heightened susceptibility to the adverse impacts of climate change, biological invasions, and land cover changes, posing threats to biodiversity and ecosystem functions and services. Over the years, persistent conservation endeavors, notably those supported by the EU LIFE Programme since 2003, have played a pivotal role in alleviating biodiversity decline, particularly in the eastern region of São Miguel Island. This study advocates the application of remote sensing data and techniques to support the management and effective monitoring of LIFE Nature projects with land cover impacts. A land cover change detection approach utilizing Rao’s Q diversity index identified and assessed changes from 2002 to 2021 in intervention areas. The study analyzed the changes in LIFE project areas using ASTER, Landsat 8, and Sentinel 2 data through Google Earth Engine on Google Colab (with Python). This methodological approach identified and assessed land cover changes in project intervention areas within defined timelines. This technological integration enhances the potential of remote sensing for near-real-time monitoring of conservation projects, making it possible to assess their land cover impacts and intervention achievements. |
|---|---|
| Autores principais: | Tiengo, Rafaela |
| Outros Autores: | Merino De Miguel, Silvia; Uchôa, Jéssica; Gil, Artur José Freire |
| Assunto: | Remote Sensing Oceanic Islands Python Rao’s Q Land Use Land Cover Open Data Google Earth Engine Google Colab |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade dos Açores |
| Idioma: | inglês |
| Origem: | Repositório da Universidade dos Açores |
| _version_ | 1877767653030887424 |
|---|---|
| author | Tiengo, Rafaela |
| author2 | Merino De Miguel, Silvia Uchôa, Jéssica Gil, Artur José Freire |
| author2_role | author author author |
| author_facet | Tiengo, Rafaela Merino De Miguel, Silvia Uchôa, Jéssica Gil, Artur José Freire |
| author_role | author |
| contributor_name_str_mv | Repositório da Universidade dos Açores |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Tiengo, Rafaela\",\"Person.identifier.cienciaID\":\"9A15-C528-B4A3\",\"Person.identifier.orcid\":\"0000-0002-9298-0178\"},{\"Person.name\":\"Merino De Miguel, Silvia\",\"Person.identifier.orcid\":\"0000-0002-4764-5311\",\"Person.identifier.researcherID\":\"L-2635-2014\",\"Person.identifier.scopusAuthorID\":\"24449872300\"},{\"Person.name\":\"Uchôa, Jéssica\",\"Person.identifier.orcid\":\"0000-0002-5255-9207\"},{\"Person.name\":\"Gil, Artur José Freire\",\"Person.identifier.cienciaID\":\"6E1A-0689-D573\",\"Person.identifier.orcid\":\"0000-0003-4450-8167\",\"Person.identifier.scopusAuthorID\":\"37064609200\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório da Universidade dos Açores |
| datacite.creators.creator.creatorName.fl_str_mv | Tiengo, Rafaela Merino De Miguel, Silvia Uchôa, Jéssica Gil, Artur José Freire |
| datacite.date.Accepted.fl_str_mv | 2024-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2024-07-04T14:07:24Z |
| datacite.date.embargoed.fl_str_mv | 2024-07-04T14:07:24Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Remote Sensing Oceanic Islands Python Rao’s Q Land Use Land Cover Open Data Google Earth Engine Google Colab |
| datacite.titles.title.fl_str_mv | A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021) |
| dc.contributor.none.fl_str_mv | Repositório da Universidade dos Açores |
| dc.creator.none.fl_str_mv | Tiengo, Rafaela Merino De Miguel, Silvia Uchôa, Jéssica Gil, Artur José Freire |
| dc.date.Accepted.fl_str_mv | 2024-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2024-07-04T14:07:24Z |
| dc.date.embargoed.fl_str_mv | 2024-07-04T14:07:24Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10400.3/7087 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | MDPI |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Remote Sensing Oceanic Islands Python Rao’s Q Land Use Land Cover Open Data Google Earth Engine Google Colab |
| dc.title.fl_str_mv | A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021) |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | Small oceanic islands, such as São Miguel Island in the Azores (Portugal), face heightened susceptibility to the adverse impacts of climate change, biological invasions, and land cover changes, posing threats to biodiversity and ecosystem functions and services. Over the years, persistent conservation endeavors, notably those supported by the EU LIFE Programme since 2003, have played a pivotal role in alleviating biodiversity decline, particularly in the eastern region of São Miguel Island. This study advocates the application of remote sensing data and techniques to support the management and effective monitoring of LIFE Nature projects with land cover impacts. A land cover change detection approach utilizing Rao’s Q diversity index identified and assessed changes from 2002 to 2021 in intervention areas. The study analyzed the changes in LIFE project areas using ASTER, Landsat 8, and Sentinel 2 data through Google Earth Engine on Google Colab (with Python). This methodological approach identified and assessed land cover changes in project intervention areas within defined timelines. This technological integration enhances the potential of remote sensing for near-real-time monitoring of conservation projects, making it possible to assess their land cover impacts and intervention achievements. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorio.uac.pt/bitstreams/431a6c59-a267-4991-b6ee-e648ed08c186/download |
| id | uac_eacf19d3f293113773e99c22cab84332 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10400.3/7087 |
| inst_facet_str | urn:organizationAcronym:uac{{{_:::_}}}Universidade dos Açores |
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| institution | Universidade dos Açores |
| instname_str | Universidade dos Açores |
| language | eng |
| network_acronym_str | uac |
| network_name_str | Repositório da Universidade dos Açores |
| oai_identifier_str | oai:repositorio.uac.pt:10400.3/7087 |
| organization_str_mv | urn:organizationAcronym:uac |
| person_str_mv | Tiengo, Rafaela Tiengo, Rafaela https://www.ciencia-id.pt/9A15-C528-B4A3 9A15-C528-B4A3 http://orcid.org/0000-0002-9298-0178 0000-0002-9298-0178 Merino De Miguel, Silvia Merino De Miguel, Silvia http://orcid.org/0000-0002-4764-5311 0000-0002-4764-5311 Uchôa, Jéssica Uchôa, Jéssica http://orcid.org/0000-0002-5255-9207 0000-0002-5255-9207 Gil, Artur José Freire Gil, Artur José Freire https://www.ciencia-id.pt/6E1A-0689-D573 6E1A-0689-D573 http://orcid.org/0000-0003-4450-8167 0000-0003-4450-8167 |
| publishDate | 2024 |
| publisher.none.fl_str_mv | MDPI |
| repo_facet_str | urn:repositoryAcronym:uac{{{_:::_}}}Repositório da Universidade dos Açores |
| reponame_str | Repositório da Universidade dos Açores |
| repository_id_str | urn:repositoryAcronym:uac |
| service_str_mv | urn:repositoryAcronym:uac |
| spelling | engMDPIpt_PTSmall oceanic islands, such as São Miguel Island in the Azores (Portugal), face heightened susceptibility to the adverse impacts of climate change, biological invasions, and land cover changes, posing threats to biodiversity and ecosystem functions and services. Over the years, persistent conservation endeavors, notably those supported by the EU LIFE Programme since 2003, have played a pivotal role in alleviating biodiversity decline, particularly in the eastern region of São Miguel Island. This study advocates the application of remote sensing data and techniques to support the management and effective monitoring of LIFE Nature projects with land cover impacts. A land cover change detection approach utilizing Rao’s Q diversity index identified and assessed changes from 2002 to 2021 in intervention areas. The study analyzed the changes in LIFE project areas using ASTER, Landsat 8, and Sentinel 2 data through Google Earth Engine on Google Colab (with Python). This methodological approach identified and assessed land cover changes in project intervention areas within defined timelines. This technological integration enhances the potential of remote sensing for near-real-time monitoring of conservation projects, making it possible to assess their land cover impacts and intervention achievements.application/pdfpt_PTA Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021)PersonalTiengo, RafaelaDSpacehttp://dspace.org/items/37d39e04-4557-4b33-b4e9-dfbb223c82fdDSpacehttp://dspace.org/items/37d39e04-4557-4b33-b4e9-dfbb223c82fdTiengoRafaelaCiência IDhttps://www.ciencia-id.pt9A15-C528-B4A3ORCIDhttp://orcid.org0000-0002-9298-0178PersonalMerino De Miguel, SilviaDSpacehttp://dspace.org/items/276d2362-e803-4f55-9214-41997a964673DSpacehttp://dspace.org/items/276d2362-e803-4f55-9214-41997a964673Merino de MiguelSilviaORCIDhttp://orcid.org0000-0002-4764-5311Researcher IDhttps://www.researcherid.comL-2635-2014Scopus Author IDhttps://www.scopus.com24449872300PersonalUchôa, JéssicaDSpacehttp://dspace.org/items/3b4da6a3-13a4-4bb4-94de-0a942938963aDSpacehttp://dspace.org/items/3b4da6a3-13a4-4bb4-94de-0a942938963aUchôaJéssicaORCIDhttp://orcid.org0000-0002-5255-9207PersonalGil, Artur José FreireDSpacehttp://dspace.org/items/24d6aa34-c843-42df-b790-912f09560a80DSpacehttp://dspace.org/items/24d6aa34-c843-42df-b790-912f09560a80Freire GilArtur JoséCiência IDhttps://www.ciencia-id.pt6E1A-0689-D573ORCIDhttp://orcid.org0000-0003-4450-8167Scopus Author IDhttps://www.scopus.com37064609200HostingInstitutionOrganizationalRepositório da Universidade dos Açorese-mailmailto:repositorio@uac.ptrepositorio@uac.ptDOIIsPartOf10.3390/land130506662024-07-04T14:07:24Z20242024-01-01T00:00:00ZHandlehttp://hdl.handle.net/10400.3/7087http://purl.org/coar/access_right/c_abf2open accessRemote SensingOceanic IslandsPythonRao’s QLand UseLand CoverOpen DataGoogle Earth EngineGoogle Colab6241985 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2024http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.uac.pt/bitstreams/431a6c59-a267-4991-b6ee-e648ed08c186/downloadLand135Switzerland |
| spellingShingle | A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021) Tiengo, Rafaela Remote Sensing Oceanic Islands Python Rao’s Q Land Use Land Cover Open Data Google Earth Engine Google Colab |
| status | SINGLETON |
| subject.fl_str_mv | Remote Sensing Oceanic Islands Python Rao’s Q Land Use Land Cover Open Data Google Earth Engine Google Colab |
| title | A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021) |
| title_full | A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021) |
| title_fullStr | A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021) |
| title_full_unstemmed | A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021) |
| title_short | A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021) |
| title_sort | A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021) |
| topic | Remote Sensing Oceanic Islands Python Rao’s Q Land Use Land Cover Open Data Google Earth Engine Google Colab |
| topic_facet | Remote Sensing Oceanic Islands Python Rao’s Q Land Use Land Cover Open Data Google Earth Engine Google Colab |
| url | http://hdl.handle.net/10400.3/7087 |
| visible | 1 |
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