| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/44NRRQL | |||
| Repository | sid.inpe.br/mtc-m21c/2021/05.24.16.15 (restricted access) | |||
| Last Update | 2021:05.24.16.15.35 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2021/05.24.16.15.35 | |||
| Metadata Last Update | 2022:04.03.22.28.42 (UTC) administrator | |||
| DOI | 10.1109/LGRS.2020.2986407 | |||
| ISSN | 1545-598X | |||
| Citation Key | MarettoFoJaKöBePa:2021:SpDeLe | |||
| Title | Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest  | |||
| Year | 2021 | |||
| Month | May | |||
| Access Date | 2025, June 02 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 4455 KiB | |||
| 2. Context | ||||
| Author | 1 Maretto, Raian Vargas 2 Fonseca, Leila Maria Garcia 3 Jacobs, Nathan 4 Körting, Thales Sehn 5 Bendini, Hugo do Nascimento 6 Parente, Leandro L. | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHLD | |||
| ORCID | 1 0000-0002-4983-2700 2 3 0000-0002-4242-8967 4 0000-0002-0876-0501 | |||
| Group | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 DIOTG-CGCT-INPE-MCTI-GOV-BR 3 4 DIOTG-CGCT-INPE-MCTI-GOV-BR 5 SER-SRE-DIPGR-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 rvmaretto@gmail.com 2 leilamgfonseca@gmail.com 3 4 contato.tsk@gmail.com 5 hnbendini@gmail.com | |||
| Journal | IEEE Geoscience and Remote Sensing Letters | |||
| Volume | 18 | |||
| Number | 5 | |||
| Pages | 771-775 | |||
| Secondary Mark | A1_GEOGRAFIA A1_ENGENHARIAS_IV A2_INTERDISCIPLINAR A2_GEOCIÊNCIAS B1_CIÊNCIA_DA_COMPUTAÇÃO B2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B2_BIOTECNOLOGIA B3_ASTRONOMIA_/_FÍSICA C_CIÊNCIAS_AGRÁRIAS_I | |||
| History (UTC) | 2021-05-24 16:15:35 :: simone -> administrator :: 2021-05-24 16:15:36 :: administrator -> simone :: 2021 2021-05-24 16:17:14 :: simone -> administrator :: 2021 2022-04-03 22:28:42 :: administrator -> simone :: 2021 | |||
| 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 | Task analysis Forestry Remote sensing Training Artificial satellites Earth Semantics Convolutional neural networks (CNNs) deep learning (DL) deforestation spatio-temporal analysis U-Net | |||
| Abstract | We address the task of mapping deforested areas in the Brazilian Amazon. Accurate maps are an important tool for informing effective deforestation containment policies. The main existing approaches to this task are largely manual, requiring significant effort by trained experts. To reduce this effort, we propose a fully automatic approach based on spatio-temporal deep convolutional neural networks. We introduce several domain-specific components, including approaches for: image preprocessing; handling image noise, such as clouds and shadow; and constructing the training data set. We show that our preprocessing protocol reduces the impact of noise in the training data set. Furthermore, we propose two spatio-temporal variations of the U-Net architecture, which make it possible to incorporate both spatial and temporal contexts. Using a large, real-world data set, we show that our method outperforms a traditional U-Net architecture, thus achieving approximately 95% accuracy. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Spatio-Temporal Deep Learning... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Spatio-Temporal Deep Learning... | |||
| 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 | maretto_spatio.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | denypublisher allowfinaldraft | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3F3NU5S 8JMKD3MGPCW/46KUATE | |||
| Citing Item List | sid.inpe.br/bibdigital/2022/04.03.22.23 7 sid.inpe.br/bibdigital/2013/10.18.22.34 7 sid.inpe.br/mtc-m21/2012/07.13.14.53.26 1 | |||
| Dissemination | WEBSCI; PORTALCAPES; SCIELO; AGU; MGA; COMPENDEX; IEEEXplore. | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||