| 1. Identificação | |
| Tipo de Referência | Artigo em Revista Científica (Journal Article) |
| Site | plutao.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 8JMKD3MGP3W/3HG7BL3 |
| Repositório | sid.inpe.br/plutao/2014/12.01.11.55.31 (acesso restrito) |
| Última Atualização | 2015:05.18.13.03.31 (UTC) administrator |
| Repositório de Metadados | sid.inpe.br/plutao/2014/12.01.11.55.32 |
| Última Atualização dos Metadados | 2021:03.06.19.29.38 (UTC) administrator |
| DOI | 10.1016/j.isprsjprs.2014.06.016 |
| ISSN | 0924-2716 |
| Rótulo | lattes: 4419790523552484 10 SeeSLMFCPSZMSACVGRSMKHSVKO:2014:BuHyLa |
| Chave de Citação | SeeSLMFCPSZMSACVGRSMKHSVKO:2015:BuHyLa |
| Título | Building a hybrid land cover map with crowdsourcing and geographically weighted regression  |
| Ano | 2015 |
| Data de Acesso | 17 maio 2024 |
| Tipo de Trabalho | journal article |
| Tipo Secundário | PRE PI |
| Número de Arquivos | 1 |
| Tamanho | 4503 KiB |
| 2. Contextualização | |
| Autor | 1 See, Linda 2 Schepaschenko, Dmitry 3 Lesiv, Myroslava 4 Mccallum, Ian 5 Fritz, Steffen 6 Comber, Alexis 7 Perger, Christoph 8 Schill, Christian 9 Zhao, Yuanyuan 10 Maus, Victor Wegner 11 Siraj, Muhammad Athar 12 Albrecht, Franziska 13 Cipriani, Anna 14 Vakolyuk, Mar'Yana 15 Garcia, Alfredo 16 Rabia, Ahmed H. 17 Singha, Kuleswar 18 Marcarini, Abel Alan 19 Kattenborn, Teja 20 Hazarika, Rubul 21 Schepaschenko, Maria 22 Van Der Velde, Marijn 23 Kraxner, Florian 24 Obersteiner, Michael |
| Grupo | 1 2 3 4 5 6 7 8 9 10 CST-CST-SPG-INPE-MCTI-GOV-BR |
| Afiliação | 1 International Institute of Applied Systems Analysis (IIASA) 2 International Institute of Applied Systems Analysis (IIASA) 3 Lviv Polytechnic National University 4 International Institute of Applied Systems Analysis (IIASA) 5 International Institute of Applied Systems Analysis (IIASA) 6 University of Leicester 7 International Institute of Applied Systems Analysis (IIASA) 8 University of Freiburg 9 Tsinghua University 10 Instituto Nacional de Pesquisas Espaciais (INPE) 11 National University of Sciences and Technology (IGIS-NUST) 12 University of Vienna 13 Università degli Studi di Modena e Reggio Emilia 14 International Institute of Applied Systems Analysis (IIASA) 15 National Institute of Agricultural Technology (INTA) 16 Damanhour University 17 Gauhati University 18 AgroParis Tech 19 Albert-Ludwigs-University Freiburg 20 Institute of Geological Science of the National Academy of Sciences of Ukraine 21 Russian Institute of Continuous Education in Forestry 22 International Institute of Applied Systems Analysis (IIASA) 23 International Institute of Applied Systems Analysis (IIASA) 24 International Institute of Applied Systems Analysis (IIASA) |
| Endereço de e-Mail do Autor | 1 2 3 4 5 6 7 8 9 10 victor.maus@inpe.br |
| Endereço de e-Mail | marcelo.pazos@inpe.br |
| Revista | ISPRS Journal of Photogrammetry and Remote Sensing |
| Volume | 103 |
| Páginas | 48-56 |
| Nota Secundária | A1_GEOCIÊNCIAS A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS B1_BIODIVERSIDADE B1_ENGENHARIAS_IV C_CIÊNCIAS_AGRÁRIAS_I |
| Histórico (UTC) | 2014-12-01 11:55:32 :: lattes -> administrator :: 2014-12-09 15:22:25 :: administrator -> lattes :: 2014 2014-12-09 15:24:23 :: lattes -> administrator :: 2014 -> xxxx 2015-05-18 13:03:32 :: administrator :: xxxx -> 2015 2021-03-06 19:29:38 :: administrator -> simone :: 2015 |
| 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 | Land cover Validation Crowdsourcing Map integration Global land cover Geographically weighted regression |
| Resumo | Land cover is of fundamental importance to many environmental applications and serves as critical baseline information for many large scale models e.g. in developing future scenarios of land use and climate change. Although there is an ongoing movement towards the development of higher resolution global land cover maps, medium resolution land cover products (e.g. GLC2000 and MODIS) are still very useful for modelling and assessment purposes. However, the current land cover products are not accurate enough for many applications so we need to develop approaches that can take existing land covers maps and produce a better overall product in a hybrid approach. This paper uses geographically weighted regression (GWR) and crowdsourced validation data from Geo-Wiki to create two hybrid global land cover maps that use medium resolution land cover products as an input. Two different methods were used: (a) the GWR was used to determine the best land cover product at each location; (b) the GWR was only used to determine the best land cover at those locations where all three land cover maps disagree, using the agreement of the land cover maps to determine land cover at the other cells. The results show that the hybrid land cover map developed using the first method resulted in a lower overall disagreement than the individual global land cover maps. The hybrid map produced by the second method was also better when compared to the GLC2000 and GlobCover but worse or similar in performance to the MODIS land cover product depending upon the metrics considered. The reason for this may be due to the use of the GLC2000 in the development of GlobCover, which may have resulted in areas where both maps agree with one another but not with MODIS, and where MODIS may in fact better represent land cover in those situations. These results serve to demonstrate that spatial analysis methods can be used to improve medium resolution global land cover information with existing products. |
| Área | CST |
| Arranjo | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Building a hybrid... |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | não têm arquivos |
| 4. Condições de acesso e uso | |
| Idioma | en |
| Arquivo Alvo | see_building.pdf |
| Grupo de Usuários | lattes marcelo.pazos@inpe.br |
| Grupo de Leitores | administrator marcelo.pazos@inpe.br |
| Visibilidade | shown |
| Política de Arquivamento | denypublisher denyfinaldraft24 |
| Permissão de Leitura | deny from all and allow from 150.163 |
| Permissão de Atualização | não transferida |
| 5. Fontes relacionadas | |
| Repositório Espelho | urlib.net/www/2011/03.29.20.55 |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/449U4PL |
| Lista de Itens Citando | sid.inpe.br/bibdigital/2021/03.06.05.18 3 |
| Divulgação | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. |
| Acervo Hospedeiro | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notas | |
| Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
| 7. Controle da descrição | |
| e-Mail (login) | simone |
| atualizar | |