1. Identificação | |
Tipo de Referência | Slides (Audiovisual Material) |
Site | mtc-m21c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34R/3RCCJFH |
Repositório | sid.inpe.br/mtc-m21c/2018/06.28.16.37 |
Última Atualização | 2018:06.28.16.37.23 (UTC) administrator |
Repositório de Metadados | sid.inpe.br/mtc-m21c/2018/06.28.16.37.23 |
Última Atualização dos Metadados | 2021:09.16.03.39.27 (UTC) administrator |
Chave Secundária | INPE--PRE/ |
Chave de Citação | AssisFerVinNovZip:2018:DiCrGe |
Título | A discussion of crowdsourced geographic information initiatives and big Earth observation data architectures for land-use and land-cover monitoring |
Título Curto | Slides |
Formato | On-line |
Ano | 2018 |
Data de Acesso | 01 maio 2024 |
Tipo Secundário | PRE CI |
Número de Arquivos | 1 |
Tamanho | 4064 KiB |
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2. Contextualização | |
Autor | 1 Assis, Luiz Fernando Ferreira Gomes de 2 Ferreira, Karine Reis 3 Vinhas, Lúbia 4 Novack, Tessio 5 Zipf, Alexander |
Identificador de Curriculo | 1 2 8JMKD3MGP5W/3C9JHKN 3 8JMKD3MGP5W/3C9JHM4 |
Grupo | 1 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Heidelberg University 5 Heidelberg University |
Endereço de e-Mail do Autor | 1 luizffga@gmail.com 2 karine.ferreira@inpe.br 3 lubia.vinhas@inpe.br 4 novack@uni-heidelberg.de 5 zipf@uni-heidelberg.de |
Nome do Evento | VGI-ALIVE: Analysis Integration, Vision, Engagement |
Localização do Evento | Lund, Sweden |
Data | 12 june |
Editora (Publisher) | Instituto Nacional de Pesquisas Espaciais |
Cidade da Editora | São José dos Campos |
Histórico (UTC) | 2018-06-28 16:37:23 :: simone -> administrator :: 2021-09-16 03:39:27 :: administrator -> simone :: 2018 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Citizen Science Land-Use/Land-Cover Remote Sensing Big Earth Observation Data |
Resumo | The effective monitoring of land-use and land-cover changes (LULCC) is a basic requirement for understanding socio-enviromental processes of local to global scales. Remote sensing data and methods have long been established as the most effective approach for monitoring LULCC. The potential for further increasing the effectiveness of this approach is proportional to the astonishingly large amount of satellite imagery provided, many times free-of-cost, by space agencies worldwide. However, scientists still lack of ways of organizing, structuring and analyzing this colossal amount of remote sensing data in a way that leverages administrative and scientific LULCC monitoring. Hence, an efficient image data storage, query and processing architecture that manages different satellite specifications and climatic conditions is required for generating and sharing updated and area-extensive LULCC information. Furthermore, because reliable LULCC monitoring with remote sensing data requires extensive training and validation analysis performed by humans, the potential of big Earth Observation (EO) data for LULCC monitoring is still limited by the amount and time- availability of the analysts involved in the project. In this paper, we discuss the potential of Citizen Science for improving the feasibility and effectiveness of LULCC monitoring supported by big EO data architectures. We put forward general ideas on how to promote and stimulate an active involvement of citizens in EO data analytics for LULCC monitoring. For that, we briefly present and critically evaluate how existing approaches that allow citizens to contribute with up-to-date and detailed LULCC information mitigate the issue of exhaustive sampling required in LULCC monitoring with automatic remote sensing image classification. |
Área | SRE |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Slides |
Arranjo 2 | A discussion of... > Slides |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
URL dos dados | http://urlib.net/ibi/8JMKD3MGP3W34R/3RCCJFH |
URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W34R/3RCCJFH |
Idioma | en |
Arquivo Alvo | assis_discussion_apresentacao.pdf |
Grupo de Usuários | simone |
Visibilidade | shown |
Permissão de Leitura | allow from all |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Repositório Espelho | urlib.net/www/2017/11.22.19.04.03 |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGP3W34R/3RCCJB5 |
Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.53.44 3 |
Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 |
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6. Notas | |
Campos Vazios | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress isbn issn label lineage mark nextedition notes numberofslides orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark session sponsor subject tertiarymark tertiarytype type url volume |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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