1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | plutao.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W/48743N2 |
Repository | sid.inpe.br/plutao/2022/12.12.17.51 |
Last Update | 2022:12.15.18.45.12 (UTC) lattes |
Metadata Repository | sid.inpe.br/plutao/2022/12.12.17.51.01 |
Metadata Last Update | 2023:07.08.07.14.44 (UTC) administrator |
DOI | 10.14210/cotb.v13.p029-036 |
Label | lattes: 0096913881679975 4 HomemCoelhoOlivMoreSant:2022:MéClÁr |
Citation Key | CoelhoBittMoreSant:2022:MéClÁr |
Title | Método para a Classificação de Áreas Queimadas Baseado em Aprendizado de Máquina Automatizado |
Year | 2022 |
Access Date | 2024, May 28 |
Secondary Type | PRE CN |
Number of Files | 1 |
Size | 487 KiB |
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2. Context | |
Author | 1 Coelho, Marcelly Homem 2 Bittencourt, Olga Oliveira 3 Morelli, Fabiano 4 Santos, Rafael Duarte Coelho dos |
Resume Identifier | 1 2 3 4 8JMKD3MGP5W/3C9JJ4N |
Group | 1 CAP-COMP-DIPGR-INPE-MCTI-GOV-BR 2 COPDT-CGIP-INPE-MCTI-GOV-BR 3 DIPE4-COGPI-INPE-MCTI-GOV-BR 4 COPDT-CGIP-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 marcellyhc@gmail.com 2 olgarf.oliveira@gmail.com 3 fabiano.morelli@inpe.br 4 rafael.santos@inpe.br |
Conference Name | Computer on the Beach |
Conference Location | Itajaí, SC |
Date | 05-07 maio 2022 |
Pages | 029 |
Book Title | Anais |
Tertiary Type | Artigo |
History (UTC) | 2022-12-12 18:06:29 :: lattes -> administrator :: 2022 2022-12-13 15:14:44 :: administrator -> lattes :: 2022 2022-12-15 18:45:14 :: lattes -> administrator :: 2022 2023-07-08 07:14:44 :: administrator -> simone :: 2022 |
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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 | Burnt areas Automated machine learning Classification
Supervised learning Remote sensing |
Abstract | Forest fires burn large areas of native vegetation and it causes impacts in the social, economic and ecological scope. Burnt areas classification can help understand fires occurrence and support public policies. This work aims to develop a method of automatic burnt areas classification. The method is based on the application of Automated Machine Learning in data sets, from the Landsat8/OLI satellite images of 2018 and 2019. We intend to answer the following research question: Is it possible to automate the choice of machine learning models and maintain quality levels in the classification of burnt areas?. The contribution of this research is to determine whether a predictive model, trained with validated samples from 2018, is capable of classifying fires occurrences in 2019. For the performance evaluation, the following metrics were analyzed: precision, probability of detection and average success rate. The results indicate that the method has a high potential to classify burnt areas. |
Area | COMP |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Método para a... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Método para a... |
Arrangement 3 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > COGPI > Método para a... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://plutao.sid.inpe.br/ibi/8JMKD3MGP3W/48743N2 |
zipped data URL | http://plutao.sid.inpe.br/zip/8JMKD3MGP3W/48743N2 |
Language | pt |
Target File | 029.pdf |
Reader Group | administrator lattes |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3F2PHGS 8JMKD3MGPCW/46KUES5 8JMKD3MGPCW/46L2FGP |
Citing Item List | sid.inpe.br/bibdigital/2022/04.03.23.11 21 sid.inpe.br/bibdigital/2013/10.12.22.16 4 sid.inpe.br/mtc-m21/2012/07.13.14.58.32 1 |
Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notes | |
Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor format isbn issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url usergroup volume |
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7. Description control | |
e-Mail (login) | simone |
update | |
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