| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGP3W/4AC8A9J |
| Repository | sid.inpe.br/plutao/2023/12.11.14.46.19 (restricted access) |
| Last Update | 2023:12.13.16.23.10 (UTC) lattes |
| Metadata Repository | sid.inpe.br/plutao/2023/12.11.14.46.20 |
| Metadata Last Update | 2024:01.02.17.00.36 (UTC) administrator |
| Label | lattes: 2801941520834407 1 SilvaAHDMDMCS:2023:LaUsLa |
| Citation Key | SilvaAHDMDMCS:2023:LaUsLa |
| Title | Land Use and Land Cover Classification in São Paulo, Brazil, Using Landsat-8 OLI Images and Derived Specral Indices  |
| Format | DVD |
| Year | 2023 |
| Access Date | 2024, May 23 |
| Secondary Type | PRE CI |
| Number of Files | 1 |
| Size | 1283 KiB |
| 2. Context | |
| Author | 1 Silva, Gabriel Máximo da 2 Arai, Egidio 3 Hoffmann, Tânia Beatriz 4 Duarte, Valdete 5 Martini, Paulo Roberto 6 Dutra, Andeise Cerqueira 7 Mataveli, Guilherme Augusto Verola 8 Cassol, Henrique Luís Godinho 9 Shimabukuro, Yosio Edemir |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JGUP 3 4 8JMKD3MGP5W/3C9JJAU 5 8JMKD3MGP5W/3C9JJ3M 6 7 8 9 8JMKD3MGP5W/3C9JJCQ |
| Group | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 DIOTG-CGCT-INPE-MCTI-GOV-BR 3 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 4 DIOTG-CGCT-INPE-MCTI-GOV-BR 5 DIOTG-CGCT-INPE-MCTI-GOV-BR 6 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 7 DIOTG-CGCT-INPE-MCTI-GOV-BR 8 DIOTG-CGCT-INPE-MCTI-GOV-BR 9 DIOTG-CGCT-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 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 gabriel.maximo@inpe.br 2 egidio.arai@inpe.br 3 tania.hoffmann@inpe.br 4 valdete.duarte@inpe.br 5 paulo.martini@inpe.br 6 andeise.dutra@inpe.br 7 8 henrique.cassol@inpe.br 9 yosio.shimabukuro@inpe.br |
| Conference Name | IEEE International Geoscience and Remote Sensing Symposium |
| Conference Location | Pasadena |
| Date | 2023 |
| Publisher | IEEE |
| Book Title | Proceedings |
| History (UTC) | 2023-12-11 16:43:54 :: lattes -> administrator :: 2023 2023-12-12 20:10:01 :: administrator -> lattes :: 2023 2023-12-13 16:23:11 :: lattes -> administrator :: 2023 2024-01-02 17:00:36 :: administrator -> simone :: 2023 |
| 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 | LULC Image classification Random Forest Linear Spectral Mixing Model |
| Abstract | This article presents a land use and land cover (LULC) classification map based on Random Forest (RF) classifier algorithm in the São Paulo State (Brazil), using Landsat-8 OLI data. The method consists in using time series images from January to December of 2020 based on the spectral and temporal characteristics of the LULC classes. We performed the classification class by class considering: water, urban area, forest, agriculture, forest plantation and pasture. Then, we pre-processed the selected images based on the spectral characteristics of the targets to highlight each LULC class. After that, the classification was performed using RF for each class individually and then we composed the final map with all LULC classes. The results showed a global accuracy of 89.10%, kappa value of 0.8692, producer accuracies greater than 79.80% and user accuracies greater than 76.82% for the classes mapped. Therefore, the method is consistent allowing to minimize the classification errors facilitating the posclassification edition of individual classes mapped. |
| Area | SRE |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Land Use and... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Land Use and... |
| 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 |
| Target File | Land use and Land Cover Classification.pdf |
| User Group | lattes |
| Reader Group | administrator lattes |
| 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 |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor isbn issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume |
| 7. Description control | |
| e-Mail (login) | simone |
| update | |