Publicação
Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data
| Resumo: | The work presented in this paper is part of SatStat project, which is being developed in e-Geo – Geography and Regional Planning Research Centre of the Universidade Nova de Lisboa, under the framework of the European Space Agency (ESA) Announce of Opportunities for Portugal. The main goal of SatStat is to annual monitor forest areas using low resolution images. The imagery dataset includes an Envisat-MERIS multitemporal set of images for Portugal. In order to monitor the forest areas, 2003 was consider as the reference year and several classification techniques were tested to map the land cover of Portugal in that year, using a 2 level nomenclature. A pixel-based classifier was tested against an object-oriented classifier and an accuracy assessment was preformed to identify the best method. |
|---|---|
| Autores principais: | Santos, Teresa |
| Outros Autores: | Tenedório, José António; Encarnação, Sara; Rocha, Jorge |
| Assunto: | Land cover mapping Object-oriented classification Envisat-MERIS |
| Ano: | 2007 |
| País: | Portugal |
| Tipo de documento: | capítulo de livro |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| _version_ | 1865920767587254273 |
|---|---|
| author | Santos, Teresa |
| author2 | Tenedório, José António Encarnação, Sara Rocha, Jorge |
| author2_role | author author author |
| author_facet | Santos, Teresa Santos, Teresa Tenedório, José António Encarnação, Sara Rocha, Jorge Tenedório, José António Encarnação, Sara Rocha, Jorge |
| author_role | author |
| contributor_name_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| country_str | PT |
| creators_json_str | [{\"Person.name\":\"Santos, Teresa\"},{\"Person.name\":\"Tenedório, José António\"},{\"Person.name\":\"Encarnação, Sara\"},{\"Person.name\":\"Rocha, Jorge\",\"Person.identifier.orcid\":\"0000-0002-7228-6330\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| datacite.creators.creator.creatorName.fl_str_mv | Santos, Teresa Tenedório, José António Encarnação, Sara Rocha, Jorge |
| datacite.date.Accepted.fl_str_mv | 2007-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-06-01T14:20:32Z |
| datacite.date.embargoed.fl_str_mv | 2023-06-01T14:20:32Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Land cover mapping Object-oriented classification Envisat-MERIS |
| datacite.titles.title.fl_str_mv | Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data |
| dc.contributor.none.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| dc.creator.none.fl_str_mv | Santos, Teresa Tenedório, José António Encarnação, Sara Rocha, Jorge |
| dc.date.Accepted.fl_str_mv | 2007-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-06-01T14:20:32Z |
| dc.date.embargoed.fl_str_mv | 2023-06-01T14:20:32Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10451/57786 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Millpress |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Land cover mapping Object-oriented classification Envisat-MERIS |
| dc.title.fl_str_mv | Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_3248 |
| description | The work presented in this paper is part of SatStat project, which is being developed in e-Geo – Geography and Regional Planning Research Centre of the Universidade Nova de Lisboa, under the framework of the European Space Agency (ESA) Announce of Opportunities for Portugal. The main goal of SatStat is to annual monitor forest areas using low resolution images. The imagery dataset includes an Envisat-MERIS multitemporal set of images for Portugal. In order to monitor the forest areas, 2003 was consider as the reference year and several classification techniques were tested to map the land cover of Portugal in that year, using a 2 level nomenclature. A pixel-based classifier was tested against an object-oriented classifier and an accuracy assessment was preformed to identify the best method. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | bookPart |
| fulltext.url.fl_str_mv | https://repositorio.ulisboa.pt/bitstreams/9a0284c2-749c-4886-b512-76f3df366e0e/download |
| id | ul_068faa8a50e7726e2fb0cfe0f4aa07fa |
| identifier.url.fl_str_mv | http://hdl.handle.net/10451/57786 |
| instacron_str | ul |
| institution | Universidade de Lisboa |
| instname_str | Universidade de Lisboa |
| language | eng |
| network_acronym_str | ul |
| network_name_str | Repositório da Universidade de Lisboa |
| oai_identifier_str | oai:repositorio.ulisboa.pt:10451/57786 |
| organization_str_mv | urn:organizationAcronym:ul |
| person_str_mv | Santos, Teresa Tenedório, José António Encarnação, Sara Rocha, Jorge Rocha, Jorge https://www.ciencia-id.pt/EC15-76DC-9B96 EC15-76DC-9B96 http://orcid.org/0000-0002-7228-6330 0000-0002-7228-6330 |
| publishDate | 2007 |
| publisher.none.fl_str_mv | Millpress |
| reponame_str | Repositório da Universidade de Lisboa |
| repository_id_str | urn:repositoryAcronym:ul |
| service_str_mv | urn:repositoryAcronym:ul |
| spelling | engMillpresspt_PTThe work presented in this paper is part of SatStat project, which is being developed in e-Geo – Geography and Regional Planning Research Centre of the Universidade Nova de Lisboa, under the framework of the European Space Agency (ESA) Announce of Opportunities for Portugal. The main goal of SatStat is to annual monitor forest areas using low resolution images. The imagery dataset includes an Envisat-MERIS multitemporal set of images for Portugal. In order to monitor the forest areas, 2003 was consider as the reference year and several classification techniques were tested to map the land cover of Portugal in that year, using a 2 level nomenclature. A pixel-based classifier was tested against an object-oriented classifier and an accuracy assessment was preformed to identify the best method.application/pdfpt_PTComparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS dataSantos, TeresaTenedório, José AntónioEncarnação, SaraPersonalRocha, JorgeDSpacehttp://dspace.org/items/9c7dabc1-d6c6-4636-9293-6babe2ba64c9DSpacehttp://dspace.org/items/9c7dabc1-d6c6-4636-9293-6babe2ba64c9RochaJorgeCiência IDhttps://www.ciencia-id.ptEC15-76DC-9B96ORCIDhttp://orcid.org0000-0002-7228-6330Researcher IDhttps://www.researcherid.comF-3185-2017Researcher IDhttps://www.researcherid.comF-3185-2017Scopus Author IDhttps://www.scopus.com56428061000HostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.ptISBNIsPartOf978-90-5966-053-32023-06-01T14:20:32Z20072007-01-01T00:00:00ZHandlehttp://hdl.handle.net/10451/57786http://purl.org/coar/access_right/c_abf2open accessLand cover mappingObject-oriented classificationEnvisat-MERIS670236 bytesliteraturehttp://purl.org/coar/resource_type/c_3248book parthttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/9a0284c2-749c-4886-b512-76f3df366e0e/downloadNew Developments and Challenges in Remote Sensing/ Proceedings of the 26th EARSeL Symposium251261Rotterdam |
| spellingShingle | Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data Santos, Teresa Land cover mapping Object-oriented classification Envisat-MERIS Santos, Teresa Land cover mapping Object-oriented classification Envisat-MERIS |
| status | SINGLETON |
| subject.fl_str_mv | Land cover mapping Object-oriented classification Envisat-MERIS |
| title | Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data |
| title_full | Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data |
| title_fullStr | Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data |
| title_full_unstemmed | Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data |
| title_short | Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data |
| title_sort | Comparing pixel vs. object based classifiers for land cover mapping with Envisat- MERIS data |
| topic | Land cover mapping Object-oriented classification Envisat-MERIS |
| topic_facet | Land cover mapping Object-oriented classification Envisat-MERIS |
| url | http://hdl.handle.net/10451/57786 |
| visible | 1 |