| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/453R6DL | |||
| Repository | sid.inpe.br/mtc-m21d/2021/07.12.17.18 (restricted access) | |||
| Last Update | 2021:11.05.13.46.26 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2021/07.12.17.18.55 | |||
| Metadata Last Update | 2022:04.03.22.28.50 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| Citation Key | BendiniFMMTSHV:2021:ExDeCo | |||
| Title | Exploring a deep convolutional neural network and geobia for automatic recognition of brazilian palm swamps (veredas) using Santinel-2 optical data  | |||
| Year | 2021 | |||
| Access Date | 2024, May 18 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 4496 KiB | |||
| 2. Context | ||||
| Author | 1 Bendini, Hugo do Nascimento 2 Fonseca, Leila Maria Garcia 3 Maretto, Raian Vargas 4 Matosak, Bruno Menini 5 Taquary, Evandro Carrijo 6 Simões, Philipe Souza 7 Haidar, Ricardo 8 Valeriano, Dalton de Morisson | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHLD 3 4 5 6 7 8 8JMKD3MGP5W/3C9JGT4 | |||
| Group | 1 DIOTG-CGCT-INPE-MCTI-GOV-BR 2 DIOTG-CGCT-INPE-MCTI-GOV-BR 3 4 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 5 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 6 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 7 8 DIOTG-CGCT-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 University of Twente 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 UniversidadeFederal do Tocantins (UFTO) 8 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 hnbendini@gmail.com 2 leilamgfonseca@gmail.com 3 4 brunomenini10@gmail.com 5 evandro.taquary@gmail.com 6 philipe.eca@gmail.com 7 8 dalton.valeriano@inpe.br | |||
| Conference Name | International Geoscience and Remote Sensing Symposium (IGARSS) | |||
| Conference Location | Online | |||
| Date | 12-16 July | |||
| Publisher | IEEE | |||
| Publisher City | Breussels | |||
| Book Title | Proceedings | |||
| History (UTC) | 2021-11-05 13:46:26 :: simone -> administrator :: 2021 2022-04-03 22:28:50 :: 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 | Cerrado Semantic Segmentation Peatlands Remote Sensing Digital Processing Image | |||
| Abstract | The Brazilian Palm Swamps (Veredas) are a vegetation physiognomy of the Cerrado biome. It has a critical importance for biodiversity and also for groundwater sources conservation. With the irrigated agriculture intensification, it ´s been significantly impacted. Mapping this physiognomy is important to delimit this vegetation type to provide subsides for public policy and monitoring programs. Pixel-based methods do not succeed, since the spatial context is important for this physiognomy. Object-based methods are a great potential on this sense. Deep Learning methods, particularly the convolutional neural networks (CNN), are increasing considerably as a solution for these challenges. We applied both methods in two regions of the Cerrado and evaluated the model transferability. The results are promising, with training model overall accuracies higher than 90% for both methods. The CNN performed better when transferred a different region. We discussed some advantages and limitations, and pointed out to improvements that can still be done. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Exploring a deep... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Exploring a deep... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Target File | bendini_2021.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| 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/2013/10.18.22.34 1 sid.inpe.br/mtc-m21/2012/07.13.14.44.17 1 | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label language lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||