| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21d.sid.inpe.br (namespace prefix: upn:44QHRCS) | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/475SM78 | |||
| Repository | sid.inpe.br/mtc-m21d/2022/06.22.12.37 (restricted access) | |||
| Last Update | 2022:06.22.12.37.34 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2022/06.22.12.37.34 | |||
| Metadata Last Update | 2023:01.03.16.46.08 (UTC) administrator | |||
| DOI | 10.5194/isprs-archives-XLIII-B3-2022-721-2022 | |||
| ISSN | 1682-1750 | |||
| Citation Key | VieiraQueiShig:2022:AnInNu | |||
| Title | An analysis of the influence of the number of observations in a random forest time series classification to map the forest and deforestation in the brazilian Amazon  | |||
| Year | 2022 | |||
| Month | June | |||
| Access Date | 2025, Dec. 07 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 7019 KiB | |||
| 2. Context | ||||
| Author | 1 Vieira, Leonardo de Souza 2 Queiroz, Gilberto Ribeiro de 3 Shiguemori, Elcio H. | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHBC | |||
| Group | 1 CAP-COMP-DIPGR-INPE-MCTI-GOV-BR 2 DIOTG-CGCT-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto de Estudos Avançados (IEAv) | |||
| Author e-Mail Address | 1 leo76sv@gmail.com 2 gilberto.queiroz@inpe.br 3 elcio@ieav.cta.br | |||
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences | |||
| Volume | 43 | |||
| Number | B3 | |||
| Pages | 721-728 | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 upn:44QHRCS | |||
| History (UTC) | 2022-06-22 12:38:01 :: simone -> administrator :: 2022 2022-07-08 16:51:17 :: administrator -> simone :: 2022 2022-12-20 14:14:10 :: simone -> administrator :: 2022 2023-01-03 16:46:08 :: administrator -> simone :: 2022 | |||
| 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 | Brazilian Amazon Classification Land cover Landsat Random Forest Time series | |||
| Abstract | Remote sensing has been an essential tool in combating deforestation. However, the ever-rising deforestation rates require new remote sensing techniques. This paper presents a study to determine the effects on the accuracy of the data analysis of varying the number of satellite observations, using a Random Forest classification algorithm. We carried out experiments on the Landsat-8 data cube with 22 images and developed an automatic sampling system based on PRODES to generate the labeled time series. We split the time series dataset to build data subsets with different number of observations. The results showed that a fewer number of observations negatively effects the accuracy of the RF algorithm when analyzing deforested areas, but not forest areas. The RF classifiers were compared using a random test data set, where all classifiers presented an Overall Accuracy (OA), Balanced Accuracy (BA), and f1-score (F1) above 97%. In the first evaluation, the variation in the number of observations appears to cause little influence on the classification accuracy. The analysis used the reference map to contrast the RF classifier's results. The results showed that the best results in OA occurred with fewer observations. The best performance of 96% happened with four observations. We evaluated the performance of the classes, deforestation, and forest individually. The results showed that a fewer number of observations had negative effects on the accuracy of the RF algorithm when analyzing deforested areas, but not forest areas. Finally, we evaluated the visual quality of the land cover maps produced. | |||
| Area | COMP | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > An analysis of... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > An analysis of... | |||
| Arrangement 3 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > An analysis of... | |||
| 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 | isprs-archives-XLIII-B3-2022-721-2022.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/3F2PHGS 8JMKD3MGPCW/46KUATE 8JMKD3MGPCW/46KUES5 | |||
| Citing Item List | sid.inpe.br/bibdigital/2013/10.12.22.16 - 53 sid.inpe.br/bibdigital/2022/04.03.22.23 - 43 sid.inpe.br/bibdigital/2022/04.03.23.11 - 36 sid.inpe.br/mtc-m21/2012/07.13.14.49.22 - 18 | |||
| Dissemination | WEBSCI; PORTALCAPES; COMPENDEX. | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||