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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3R8F2ME
Repositóriosid.inpe.br/mtc-m21c/2018/06.04.15.20   (acesso restrito)
Última Atualização2018:06.04.15.20.55 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/06.04.15.20.55
Última Atualização dos Metadados2020:12.07.21.11.46 (UTC) administrator
DOI10.1080/22797254.2018.1451782
ISSN2279-7254
Chave de CitaçãoSidhuPebeCama:2018:SiUsCa
TítuloUsing Google Earth engine to detect land cover change: Singapore as a use case
Ano2018
Data de Acesso11 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3584 KiB
2. Contextualização
Autor1 Sidhu, Nanki
2 Pebesma, Edzer
3 Camara, Gilberto
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JHB8
ORCID1 0000-0002-2422-8769
2 0000-0001-8049-7069
Grupo1
2
3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Westfaelische-Wilhelms Universitaet
2 Westfaelische-Wilhelms Universitaet
3 Instituto Nacional de Pesquisas Espaciais (INPE)
RevistaEuropean Journal of Remote Sensing
Volume51
Número1
Páginas486-500
Histórico (UTC)2018-06-04 15:29:33 :: simone -> administrator :: 2018
2019-01-04 16:57:05 :: administrator -> simone :: 2018
2019-01-07 10:41:30 :: simone -> administrator :: 2018
2020-12-07 21:11:46 :: administrator -> simone :: 2018
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveGoogle Earth Engine
big-data architecture
land cover
urban areas
time series analysis
ResumoThis paper investigates the web-based remote sensing platform, Google Earth Engine (GEE) and evaluates the platform's utility for performing raster and vector manipulations on Landsat, Moderate Resolution Imaging Spectroradiometer and GlobCover (2009) imagery. We assess its capacity to conduct space-time analysis over two subregions of Singapore, namely, Tuas and the Central Catchment Reserve (CCR), for Urban and Wetlands land classes. In its current state, GEE has proven to be a powerful tool by providing access to a wide variety of imagery in one consolidated system. Furthermore, it possesses the ability to perform spatial aggregations over global-scale data at a high computational speed though; supporting both spatial and temporal analysis is not an obvious task for the platform. We examine the challenges that GEE faces, also common to most parallel-processing, big-data architectures. The ongoing refinement of this system makes it promising for big-data analysts from diverse user groups. As a use case for exploring GEE, we analyze Singapore's land use and cover. We observe the change in Singapore's landmass through land reclamation. Also, within the region of the CCR, a large protected area, we find forest cover is not affected by anthropogenic factors, but instead is driven by the monsoon cycles affecting Southeast Asia.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Using Google Earth...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 04/06/2018 12:20 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvosidhu_using.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.49.18 4
sid.inpe.br/bibdigital/2013/09.09.15.05 2
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository month nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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