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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3MHKNDH
Repositóriosid.inpe.br/mtc-m21b/2016/10.04.18.34
Última Atualização2018:08.28.13.42.01 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2016/10.04.18.34.46
Última Atualização dos Metadados2018:08.28.13.42.02 (UTC) simone
Chave SecundáriaINPE--PRE/
Chave de CitaçãoViergeverACCEMMMOMTW:2016:WePlPu
TítuloA webmapping platform for publishing, sharing and managing remote sensingderived data for forest protection
Ano2016
Data de Acesso09 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho1180 KiB
2. Contextualização
Autor 1 Viergever, Karin M.
 2 Andrade Neto, Pedro Ribeiro de
 3 Cardoso, Manoel Ferreira
 4 Castillo, Miguel
 5 Exbrayat, Jean-Francois
 6 Middlemiss, Sarah
 7 Milodowski, David
 8 Mitchard, Edward T. A.
 9 Ometto, Jean Pierre Henry Balbaud
10 Morel, Veronique
11 Tipper, Richard
12 Williams, Mathew
Grupo 1
 2 CST-CST-INPE-MCTI-GOV-BR
 3 CST-CST-INPE-MCTI-GOV-BR
 4
 5
 6
 7
 8
 9 CST-CST-INPE-MCTI-GOV-BR
Afiliação 1 Ecometrica
 2 Instituto Nacional de Pesquisas Espaciais (INPE)
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 El Colegio de la Frontera Sur
 5 The University of Edinburgh
 6 Ecometrica
 7 The University of Edinburgh
 8 The University of Edinburgh
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Ecometrica
11 The University of Edinburgh
12 The University of Edinburgh
Endereço de e-Mail do Autor 1
 2 pedro.andrade@inpe.br
 3 manoel.cardoso@inpe.br
 4
 5
 6
 7
 8
 9 jean.ometto@inpe.br
Nome do EventoSPIE Remote Sensing
Localização do EventoEdinburgh, United Kingdom
Data26-29 Sept.
Histórico (UTC)2016-10-04 18:36:23 :: simone -> administrator :: 2016
2016-10-14 13:46:09 :: administrator -> simone :: 2016
2016-12-20 18:24:02 :: simone -> administrator :: 2016
2018-06-04 02:41:10 :: administrator -> simone :: 2016
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoEcometrica has developed a web mapping platform that makes it easy to access, organise, share, query and analyse spatial data on land cover and ecosystem services without requiring GIS or remote sensing expertise on the end user side. The platform is built on spatial cloud technology and brings together relevant data, areas of interest and people. It enables the move away from fragmented, offline and siloed data management to up to date, connected and controlled data curation, allowing improved stewardship of data. Essential functions include viewing and querying spatial data. Summary reports can be downloaded in both pdf and spreadsheet format. Access is secure but mapping applications can also be made publicly available. By providing access and analysis of expert spatial data layers, the platform can be used in various ways e.g. by publishing or sharing research results with peers, and providing practical and insightful advice to non-specialist end users, industry groups and policy makers. Depending on how a mapping application has been customized, end-users can obtain quantitative and qualitative information about resources, measure impacts and opportunities, check compliance to environmental legislation, monitor changes to vegetation, water and other resources. Ecometrica, together with partners in the UK, Mexico and Brazil, have collaborated on a UK Space Agency international partnership space programme (IPSP) project to Advance EO Applications in Forests. The key objective was to reduce deforestation and degradation by improving EO derived information management and forest change detection methods. The Ecometrica Mapping platform was used to establish regional EO Labs within the various partner organisations, e.g. ECOSUR in Mexico, INPE and FUNCATE in Brazil. In Mexico and Brazil the EO Labs enabled collaboration between research organisations and NGOs to develop applications for monitoring forest change in specified study areas and has enabled the compilation of previously unavailable regional EO and other spatial datasets into products that can be used by researchers and state governments. Data on forest loss was linked to dynamic earth system models developed by the University of Edinburgh and INPE, utilising the EO Labs to provide an intuitive and powerful environment in which non-expert end-users can investigate the results from the huge datasets produced by multi-run model simulations. The construction of pre-written queries into each application builds in the expert guidance required to query complex model data, which gives the data some value outside of single research institutions, and enables their application in land use management and planning. The EO Lab facility in ECOSUR, Mexico has enabled the systematic compilation of previously unavailable regional EO and related data assets into products that can be used by researchers and state governments. This paper will demonstrate and discuss various examples of mapping applications created on Ecometrica EO Labs for the project Advancing EO Applications in Forests, showing how cloud technology can enhance the field of forest protection. We will show examples that use EO-derived data for forest conservation and management and we will discuss current developments for collaborative data storage and curation functionality.
ÁreaCST
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34P/3MHKNDH
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34P/3MHKNDH
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3T29H
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.19.20.40 1
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label language lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject targetfile tertiarymark tertiarytype type url volume
7. Controle da descrição
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