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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/3R8FJDS
Repositóriosid.inpe.br/mtc-m21c/2018/06.04.18.31   (acesso restrito)
Última Atualização2018:06.04.18.31.52 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/06.04.18.31.52
Última Atualização dos Metadados2020:12.07.21.11.47 (UTC) administrator
DOI10.1016/j.jag.2018.03.005
ISSN0303-2434
Chave de CitaçãoChenLMBDSSHLO:2018:MaCrCr
TítuloMapping croplands, cropping patterns, and crop types using MODIS time-series data
Ano2018
MêsJuly
Data de Acesso27 nov. 2022
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2592 KiB
2. Contextualização
Autor 1 Chen, Yaoliang
 2 Lu, Dengsheng
 3 Moran, Emilio
 4 Batistella, Mateus
 5 Dutra, Luciano Vieira
 6 Sanches, Ieda Del'Arco
 7 Silva, Ramon Felipe Bicudo da
 8 Huang, Jingfeng
 9 Luiz, Alfredo José Barreto
10 Oliveira, Maria Antonia Falcão de
Identificador de Curriculo 1
 2
 3
 4
 5 8JMKD3MGP5W/3C9JHMA
Grupo 1
 2
 3
 4
 5 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
 6 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
 7
 8
 9
10 CGOBT-CGOBT-INPE-MCTIC-GOV-BR
Afiliação 1 Zhejiang Agriculture and Forestry University
 2 Zhejiang Agriculture and Forestry University
 3 Michigan State Universit
 4 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Universidade Estadual de Campinas (UNICAMP)
 8 Zhejiang University
 9 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor 1 chengis0115@gmail.com
 2 luds@zafu.edu.cn
 3 moranef@msu.edu
 4 mateus.batistella@embrapa.br
 5 dutra@dpi.inpe.br
 6 ieda.sanches@inpe.br
 7 ramonbicudo@gmail.com
 8 hjf@zju.edu.cn
 9 alfredo.luiz@embrapa.br
10 marian.florestal@gmail.com
RevistaInternational Journal of Applied Earth Observation and Geoinformation
Volume69
Páginas133-147
Nota SecundáriaB1_GEOCIÊNCIAS
Histórico (UTC)2018-06-04 18:31:52 :: simone -> administrator ::
2018-06-04 18:31:53 :: administrator -> simone :: 2018
2018-06-04 18:36:09 :: simone -> administrator :: 2018
2019-01-04 16:57:05 :: administrator -> simone :: 2018
2019-01-07 11:15:38 :: simone -> administrator :: 2018
2020-12-07 21:11:47 :: 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-ChaveCroplands
Cropping patterns
Crop types
MODIS NDVI
Decision tree classifier
Brazil
ResumoThe importance of mapping regional and global cropland distribution in timely ways has been recognized, but separation of crop types and multiple cropping patterns is challenging due to their spectral similarity. This study developed a new approach to identify crop types (including soy, cotton and maize) and cropping patterns (Soy Maize, Soy-Cotton, Soy-Pasture, Soy-Fallow, Fallow-Cotton and Single crop) in the state of Mato Grosso, Brazil. The Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time series data for 2015 and 2016 and field survey data were used in this research. The major steps of this proposed approach include: (1) reconstructing NDVI time series data by removing the cloud-contaminated pixels using the temporal interpolation algorithm, (2) identifying the best periods and developing temporal indices and phenological parameters to distinguish croplands from other land cover types, and (3) developing crop temporal indices to extract cropping patterns using NDVI time-series data and group cropping patterns into crop types. Decision tree classifier was used to map cropping patterns based on these temporal indices. Croplands from Landsat imagery in 2016, cropping pattern samples from field survey in 2016, and the planted area of crop types in 2015 were used for accuracy assessment. Overall accuracies of approximately 90%, 73% and 86%, respectively were obtained for croplands, cropping patterns, and crop types. The adjusted coefficients of determination of total crop, soy, maize, and cotton areas with corresponding statistical areas were 0.94, 0.94, 0.88 and 0.88, respectively. This research indicates that the proposed approach is promising for mapping large-scale croplands, their cropping patterns and crop types.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Mapping croplands, cropping...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mapping croplands, cropping...
Arranjo 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Mapping croplands, cropping...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 04/06/2018 15:31 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvochen_mapping.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3EU2H28
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
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