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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/46FLK8E
Repositorysid.inpe.br/mtc-m21d/2022/03.08.13.50   (restricted access)
Last Update2022:03.08.13.50.50 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2022/03.08.13.50.50
Metadata Last Update2022:04.03.22.27.52 (UTC) administrator
DOI10.1016/j.srs.2021.100021
Citation KeyChavesAlSáOlPiSiMa:2021:TiDyTi
TitleTime-weighted dynamic time warping analysis for mapping interannual cropping practices changes in large-scale agro-industrial farms in Brazilian Cerrado
Year2021
Access Date2024, May 19
Type of Workjournal article
Number of Files1
Size2130 KiB
2. Context
Author1 Chaves, Michel Eustáquio Dantas
2 Alves, Marcelo de C.
3 Sáfadi, Thelma
4 Oliveira, Marcelo S. de
5 Picoli, Michelle C. A.
6 Simões, Rolf Ezequiel de Oliveira
7 Mataveli, Guilherme Augusto Verola
Group1 DIOTG-CGCT-INPE-MCTI-GOV-BR
2
3
4
5
6 DIOTG-CGCT-INPE-MCTI-GOV-BR
7 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Universidade Federal de Lavras (UFLA)
3 Universidade Federal de Lavras (UFLA)
4 Universidade Federal de Lavras (UFLA)
5 Universitè Catholique de Louvain
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 micheldchaves@gmail.com
2 marcelo.alves@deg.ufla.br
3 safadi@ufla.br
4 marcelo.oliveira@ufla.br
5 michelle.picoli@inpe.br
6 rolfsimoes@gmail.com
7 guilhermemataveli@gmail.com
JournalScience of Remote Sensing
Volume3
Pagese100021
History (UTC)2022-03-08 13:52:26 :: simone -> administrator :: 2021
2022-04-03 22:27:52 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsCrop monitoring
Crop succession
Crop rotation
Phenology
Time-weighted dynamic time warping
(TWDTW)
AbstractMethods for crop phenology detection using time series analysis have provided accurate information for large agricultural areas in shorter processing times, which can be useful for agronomic management and supply chain monitoring. Given the crop dynamics in the Brazilian Cerrado, with alternating crop type plantings, crop successions, and crop rotations, as well as climate and crop practices variation between harvest periods, these methods can be useful for detecting subtle land use and land cover changes at farm and crop field scales, improving thematic classifications and the near real-time crop monitoring. In this study, the Time-Weighted Dynamic Time Warping method was applied to recognize patterns in Moderate Resolution Imaging Spectroradiometer (MODIS) time series for land use and cover classification, identifying crop successions and rotations at crop field level in a large-scale agro-industrial agglomerate of farms located at Brazilian Cerrado. We detected and analyzed temporal cropping patterns in training samples to classify the MODIS time series and images, using a robust ground truth data set for validation. The method distinguished Cotton-fallow, Soybean-cotton, Soybeanmaize, and Soybean-millet cropping patterns with an overall accuracy above 85% for all evaluated harvest periods. Seasonal variations in the crop fields, caused by interannual succession and rotation, were detected. The method demonstrated the benefit of creating a spatial vector data set for supporting decision-making in several crop management contexts, improving crop and supply chain monitoring.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Time-weighted dynamic time...
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4. Conditions of access and use
Languageen
Target Filechaves_2021.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2021/06.04.03.40.25
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 1
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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