| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21b.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34P/3MQNHNP | |||
| Repository | sid.inpe.br/mtc-m21b/2016/11.17.11.23 (restricted access) | |||
| Last Update | 2016:12.19.11.00.48 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21b/2016/11.17.11.23.10 | |||
| Metadata Last Update | 2020:08.13.15.57.09 (UTC) administrator | |||
| DOI | 10.1071/WF15216 | |||
| ISSN | 1049-8001 | |||
| Citation Key | FonsecaArLiShArAn:2016:MoFiPr | |||
| Title | Modelling fire probability in the Brazilian Amazon using the maximum entropy method  | |||
| Year | 2016 | |||
| Access Date | 2024, May 18 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 1200 KiB | |||
| 2. Context | ||||
| Author | 1 Fonseca, Marisa Gesteira 2 Aragão, Luiz Eduardo Oliveira e Cruz de 3 Lima, André 4 Shimabukuro, Yosio Edemir 5 Arai, Egídio 6 Anderson, Liana O. | |||
| Resume Identifier | 1 2 3 4 8JMKD3MGP5W/3C9JJCQ 5 8JMKD3MGP5W/3C9JGUP | |||
| Group | 1 SER-SRE-SPG-INPE-MCTI-GOV-BR 2 DSR-OBT-INPE-MCTI-GOV-BR 3 DSR-OBT-INPE-MCTI-GOV-BR 4 DSR-OBT-INPE-MCTI-GOV-BR 5 DSR-OBT-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) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) | |||
| Author e-Mail Address | 1 marisa_fonseca@yahoo.com.br 2 luiz.aragao@inpe.br 3 andre@dsr.inpe.br 4 yosio.shimabukuro@inpe.br 5 egidio.arai@inpe.br | |||
| Journal | International Journal of Wildland Fire | |||
| Volume | 25 | |||
| Number | 9 | |||
| Pages | 955-969 | |||
| Secondary Mark | A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A2_INTERDISCIPLINAR A2_ENGENHARIAS_I A2_CIÊNCIAS_AMBIENTAIS B1_BIODIVERSIDADE | |||
| History (UTC) | 2016-11-17 11:23:10 :: simone -> administrator :: 2016-11-17 11:23:11 :: administrator -> simone :: 2016 2016-11-17 11:24:04 :: simone -> administrator :: 2016 2016-11-18 15:53:15 :: administrator -> simone :: 2016 2016-12-22 16:31:42 :: simone -> administrator :: 2016 2020-08-13 15:57:09 :: administrator -> simone :: 2016 | |||
| 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 | anthropogenic ignition climate machine learning MESS analysis MODIS tropical forest | |||
| Abstract | Fires are both a cause and consequence of important changes in the Amazon region. The development and implementation of better fire management practices and firefighting strategies are important steps to reduce the Amazon ecosystems' degradation and carbon emissions from land-use change in the region. We extended the application of the maximum entropy method (MaxEnt) to model fire occurrence probability in the Brazilian Amazon on a monthly basis during the 2008 and 2010 fire seasons using fire detection data derived from satellite images. Predictor variables included climatic variables, inhabited and uninhabited protected areas and land-use change maps. Model fit was assessed using the area under the curve (AUC) value (threshold-independent analysis), binomial tests and model sensitivity and specificity (threshold-dependent analysis). Both threshold-independent (AUC≤0.919±0.004) and threshold-dependent evaluation indicate satisfactory model performance. Pasture, annual deforestation and secondary vegetation are the most effective variables for predicting the distribution of the occurrence data. Our results show that MaxEnt may become an important tool to guide on-the-ground decisions on fire prevention actions and firefighting planning more effectively and thus to minimise forest degradation and carbon loss from forest fires in Amazonian ecosystems. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > Produção anterior à 2021 > DIDSR > Modelling fire probability... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Modelling fire probability... | |||
| 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 | |||
| 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 | ||||
| Mirror Repository | urlib.net/www/2011/03.29.20.55 | |||
| Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S | |||
| Citing Item List | sid.inpe.br/bibdigital/2013/10.18.22.34 3 sid.inpe.br/bibdigital/2013/09.13.21.11 2 sid.inpe.br/mtc-m21/2012/07.13.14.45.03 1 | |||
| Dissemination | WEBSCI; SCOPUS. | |||
| Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||