Publication
Resource Communication : ForestAz - Using Google Earth Engine and Sentinel data for forest monitoring in the Azores Islands (Portugal)
| Summary: | AIM OF STUDY: ForestAz application was developed to (i) map Azorean forest areas accurately through semiautomatic supervised classification; (ii) assess vegetation condition (e.g., greenness and moisture) by computing and comparing several spectral indices; and (iii) quantitatively evaluate the stocks and dynamics of aboveground carbon (AGC) sequestrated by Azorean forest areas. AREA OF STUDY: ForestAz focuses primarily on the Public Forest Perimeter of S. Miguel Island (Archipelago of the Azores, Portugal), with about 3808 hectares. MATERIAL AND METHODS: ForestAz was developed with Javascript for the Google Earth Engine platform, relying solely on open satellite remote sensing data, as Copernicus Sentinel-1 (Synthetic Aperture Radar) and Sentinel-2 (multispectral). MAIN RESULTS: By accurately mapping S. Miguel island forest areas using a detailed species-based vegetation mapping approach; by allowing frequent and periodic monitoring of vegetation condition; and by quantitatively assessing the stocks and dynamics of AGC by these forest areas, this remote sensing-based application may constitute a robust and low-cost operational tool able to support local/regional decision-making on forest planning and management. RESEARCH HIGHLIGHTS: This collaborative initiative between the University of the Azores and the Azores Regional Authority in Forest Affairs was selected to be one of the 99 user stories by local and regional authorities described in the catalog edited by the European Commission, the Network of European Regions Using Space Technologies (NEREUS Association), and the European Space Agency (ESA). |
|---|---|
| Main Authors: | Fernández-Urrutia, Manuel |
| Other Authors: | Gil, Artur José Freire |
| Subject: | Sentinel-1 Sentinel-2 Copernicus Vegetation Indices Forest Mapping Forest Management Aboveground Carbon |
| Year: | 2022 |
| Country: | Portugal |
| Document type: | article |
| Access type: | open access |
| Associated institution: | Universidade dos Açores |
| Language: | English |
| Origin: | Repositório da Universidade dos Açores |
| _version_ | 1877767761371856896 |
|---|---|
| author | Fernández-Urrutia, Manuel |
| author2 | Gil, Artur José Freire |
| author2_role | author |
| author_facet | Fernández-Urrutia, Manuel Gil, Artur José Freire |
| author_role | author |
| contributor_name_str_mv | Repositório da Universidade dos Açores |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Fernández-Urrutia, Manuel\"},{\"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 | Fernández-Urrutia, Manuel Gil, Artur José Freire |
| datacite.date.Accepted.fl_str_mv | 2022-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2022-12-27T12:19:27Z |
| datacite.date.embargoed.fl_str_mv | 2022-12-27T12:19:27Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Sentinel-1 Sentinel-2 Copernicus Vegetation Indices Forest Mapping Forest Management Aboveground Carbon |
| datacite.titles.title.fl_str_mv | Resource Communication : ForestAz - Using Google Earth Engine and Sentinel data for forest monitoring in the Azores Islands (Portugal) |
| dc.contributor.none.fl_str_mv | Repositório da Universidade dos Açores |
| dc.creator.none.fl_str_mv | Fernández-Urrutia, Manuel Gil, Artur José Freire |
| dc.date.Accepted.fl_str_mv | 2022-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2022-12-27T12:19:27Z |
| dc.date.embargoed.fl_str_mv | 2022-12-27T12:19:27Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10400.3/6530 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC) |
| 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 | Sentinel-1 Sentinel-2 Copernicus Vegetation Indices Forest Mapping Forest Management Aboveground Carbon |
| dc.title.fl_str_mv | Resource Communication : ForestAz - Using Google Earth Engine and Sentinel data for forest monitoring in the Azores Islands (Portugal) |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | AIM OF STUDY: ForestAz application was developed to (i) map Azorean forest areas accurately through semiautomatic supervised classification; (ii) assess vegetation condition (e.g., greenness and moisture) by computing and comparing several spectral indices; and (iii) quantitatively evaluate the stocks and dynamics of aboveground carbon (AGC) sequestrated by Azorean forest areas. AREA OF STUDY: ForestAz focuses primarily on the Public Forest Perimeter of S. Miguel Island (Archipelago of the Azores, Portugal), with about 3808 hectares. MATERIAL AND METHODS: ForestAz was developed with Javascript for the Google Earth Engine platform, relying solely on open satellite remote sensing data, as Copernicus Sentinel-1 (Synthetic Aperture Radar) and Sentinel-2 (multispectral). MAIN RESULTS: By accurately mapping S. Miguel island forest areas using a detailed species-based vegetation mapping approach; by allowing frequent and periodic monitoring of vegetation condition; and by quantitatively assessing the stocks and dynamics of AGC by these forest areas, this remote sensing-based application may constitute a robust and low-cost operational tool able to support local/regional decision-making on forest planning and management. RESEARCH HIGHLIGHTS: This collaborative initiative between the University of the Azores and the Azores Regional Authority in Forest Affairs was selected to be one of the 99 user stories by local and regional authorities described in the catalog edited by the European Commission, the Network of European Regions Using Space Technologies (NEREUS Association), and the European Space Agency (ESA). |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorio.uac.pt/bitstreams/bc840324-c472-4d15-87fc-15b135378690/download |
| id | uac_e1c820ff4df9ae1bedf882be7da6e453 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10400.3/6530 |
| inst_facet_str | urn:organizationAcronym:uac{{{_:::_}}}Universidade dos Açores |
| instacron_str | uac |
| 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:10400.3/6530 |
| organization_str_mv | urn:organizationAcronym:uac |
| person_str_mv | Fernández-Urrutia, Manuel 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 | 2022 |
| publisher.none.fl_str_mv | Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC) |
| 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 | engInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC)enAIM OF STUDY: ForestAz application was developed to (i) map Azorean forest areas accurately through semiautomatic supervised classification; (ii) assess vegetation condition (e.g., greenness and moisture) by computing and comparing several spectral indices; and (iii) quantitatively evaluate the stocks and dynamics of aboveground carbon (AGC) sequestrated by Azorean forest areas. AREA OF STUDY: ForestAz focuses primarily on the Public Forest Perimeter of S. Miguel Island (Archipelago of the Azores, Portugal), with about 3808 hectares. MATERIAL AND METHODS: ForestAz was developed with Javascript for the Google Earth Engine platform, relying solely on open satellite remote sensing data, as Copernicus Sentinel-1 (Synthetic Aperture Radar) and Sentinel-2 (multispectral). MAIN RESULTS: By accurately mapping S. Miguel island forest areas using a detailed species-based vegetation mapping approach; by allowing frequent and periodic monitoring of vegetation condition; and by quantitatively assessing the stocks and dynamics of AGC by these forest areas, this remote sensing-based application may constitute a robust and low-cost operational tool able to support local/regional decision-making on forest planning and management. RESEARCH HIGHLIGHTS: This collaborative initiative between the University of the Azores and the Azores Regional Authority in Forest Affairs was selected to be one of the 99 user stories by local and regional authorities described in the catalog edited by the European Commission, the Network of European Regions Using Space Technologies (NEREUS Association), and the European Space Agency (ESA).application/pdfenResource Communication : ForestAz - Using Google Earth Engine and Sentinel data for forest monitoring in the Azores Islands (Portugal)Fernández-Urrutia, ManuelPersonalGil, 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.ptISSNIsPartOf2171-5068DOIIsPartOf10.5424/fs/2022312-189292022-12-27T12:19:27Z20222022-01-01T00:00:00ZHandlehttp://hdl.handle.net/10400.3/6530http://purl.org/coar/access_right/c_abf2open accessSentinel-1Sentinel-2CopernicusVegetation IndicesForest MappingForest ManagementAboveground Carbon1371004 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2022http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.uac.pt/bitstreams/bc840324-c472-4d15-87fc-15b135378690/downloadForest Systems31(2)Madrid, España |
| spellingShingle | Resource Communication : ForestAz - Using Google Earth Engine and Sentinel data for forest monitoring in the Azores Islands (Portugal) Fernández-Urrutia, Manuel Sentinel-1 Sentinel-2 Copernicus Vegetation Indices Forest Mapping Forest Management Aboveground Carbon |
| status | SINGLETON |
| subject.fl_str_mv | Sentinel-1 Sentinel-2 Copernicus Vegetation Indices Forest Mapping Forest Management Aboveground Carbon |
| title | Resource Communication : ForestAz - Using Google Earth Engine and Sentinel data for forest monitoring in the Azores Islands (Portugal) |
| title_full | Resource Communication : ForestAz - Using Google Earth Engine and Sentinel data for forest monitoring in the Azores Islands (Portugal) |
| title_fullStr | Resource Communication : ForestAz - Using Google Earth Engine and Sentinel data for forest monitoring in the Azores Islands (Portugal) |
| title_full_unstemmed | Resource Communication : ForestAz - Using Google Earth Engine and Sentinel data for forest monitoring in the Azores Islands (Portugal) |
| title_short | Resource Communication : ForestAz - Using Google Earth Engine and Sentinel data for forest monitoring in the Azores Islands (Portugal) |
| title_sort | Resource Communication : ForestAz - Using Google Earth Engine and Sentinel data for forest monitoring in the Azores Islands (Portugal) |
| topic | Sentinel-1 Sentinel-2 Copernicus Vegetation Indices Forest Mapping Forest Management Aboveground Carbon |
| topic_facet | Sentinel-1 Sentinel-2 Copernicus Vegetation Indices Forest Mapping Forest Management Aboveground Carbon |
| url | http://hdl.handle.net/10400.3/6530 |
| visible | 1 |
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