| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | J8LNKAN8RW/3ARNBBC |
| Repository | dpi.inpe.br/plutao/2011/11.23.17.49.22 (restricted access) |
| Last Update | 2012:01.16.14.39.12 (UTC) administrator |
| Metadata Repository | dpi.inpe.br/plutao/2011/11.23.17.49.23 |
| Metadata Last Update | 2018:06.05.00.01.35 (UTC) administrator |
| DOI | 10.1016/j.proenv.2011.07.048 |
| ISSN | 1878-0296 |
| Label | lattes: 7514918598084999 2 MelloRudoAdamAgui:2011:ImBaNe |
| Citation Key | MelloRudoAgui:2011:ImBaNe |
| Title | An R implementation for Bayesian networks applied to spatial data  |
| Year | 2011 |
| Access Date | 2024, May 02 |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 1290 KiB |
| 2. Context | |
| Author | 1 Mello, Márcio Pupin de 2 Rudorff, Bernardo Friedrich Theodor 3 Aguiar, Daniel Alves de |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JGKP |
| Group | 1 DSR-OBT-INPE-MCT-BR 2 DSR-OBT-INPE-MCT-BR 3 DSR-OBT-INPE-MCT-BR |
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 mello@ieee.org 2 bernardo@ltid.inpe.br 3 daniel@dsr.inpe.br |
| e-Mail Address | bernardo@ltid.inpe.br |
| Journal | Procedia Environmental Sciences |
| Volume | 7 |
| Pages | 275-280 |
| History (UTC) | 2011-11-24 11:03:15 :: lattes -> secretaria.cpa@dir.inpe.br :: 2011 2012-01-16 14:39:12 :: secretaria.cpa@dir.inpe.br -> administrator :: 2011 2018-06-05 00:01:35 :: administrator -> marciana :: 2011 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Keywords | * belief network * algorithm * remote sensing * land use * land cover * deforestation * Soy Moratorium * Brazilian Amazon |
| Abstract | This work aimed to develop an R algorithm for land use classification based on the relationships among the land use and variables associated to its occurrence on remote sensing images. The algorithm was tested for soybean crop identification in the Brazilian Soy Moratorium context. Probability functions were modeled based on the number of pixels within discrete intervals. The result was encouraging with overall classification accuracy greater than 80%, indicating that the method is promising also to be applied for other land use classifications. The R algorithm is available at http://www.dsr.inpe.br/∼mello. |
| Area | SRE |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > An R implementation... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | en |
| User Group | administrator lattes secretaria.cpa@dir.inpe.br |
| 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/3ER446E |
| Dissemination | WEBSCI |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork url versiontype |
| 7. Description control | |
| e-Mail (login) | marciana |
| update | |