1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/3R8FJDS |
Repository | sid.inpe.br/mtc-m21c/2018/06.04.18.31 (restricted access) |
Last Update | 2018:06.04.18.31.52 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21c/2018/06.04.18.31.52 |
Metadata Last Update | 2024:01.23.13.41.07 (UTC) simone |
DOI | 10.1016/j.jag.2018.03.005 |
ISSN | 0303-2434 |
Citation Key | ChenLMBDSSHLO:2018:MaCrCr |
Title | Mapping croplands, cropping patterns, and crop types using MODIS time-series data |
Year | 2018 |
Month | July |
Access Date | 2024, Apr. 26 |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 2592 KiB |
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2. Context | |
Author | 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 |
Resume Identifier | 1 2 3 4 5 8JMKD3MGP5W/3C9JHMA |
Group | 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 |
Affiliation | 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) |
Author e-Mail Address | 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 |
Journal | International Journal of Applied Earth Observation and Geoinformation |
Volume | 69 |
Pages | 133-147 |
Secondary Mark | B1_GEOCIÊNCIAS |
History (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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Croplands Cropping patterns Crop types MODIS NDVI Decision tree classifier Brazil |
Abstract | The 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. |
Area | SRE |
Arrangement 1 | Projeto Memória 60... > DIDPI > Mapping croplands, cropping... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mapping croplands, cropping... |
Arrangement 3 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Mapping croplands, cropping... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | chen_mapping.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft24 |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3EU2H28 |
Citing Item List | sid.inpe.br/bibdigital/2013/09.09.15.05 2 sid.inpe.br/mtc-m21/2012/07.13.14.53.50 1 sid.inpe.br/bibdigital/2013/10.01.23.43 1 |
Dissemination | WEBSCI; PORTALCAPES; SCOPUS. |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Notes | Prêmio CAPES Elsevier 2023 - ODS 2: Fome zero e Agricultura sustentável |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url |
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7. Description control | |
e-Mail (login) | simone |
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