| 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/4726JUB | |||
| Repository | sid.inpe.br/mtc-m21d/2022/05.30.11.57 (restricted access) | |||
| Last Update | 2022:05.30.11.57.05 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2022/05.30.11.57.05 | |||
| Metadata Last Update | 2023:01.03.16.46.07 (UTC) administrator | |||
| DOI | 10.1016/j.isprsjprs.2022.04.025 | |||
| ISSN | 0924-2716 | |||
| Citation Key | PrudenteSeOlXaXaAdSa:2022:MuApLa | |||
| Title | Multisensor approach to land use and land cover mapping in Brazilian Amazon  | |||
| Year | 2022 | |||
| Month | July | |||
| Access Date | 2025, Dec. 09 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 23257 KiB | |||
| 2. Context | ||||
| Author | 1 Prudente, Victor Hugo Rohden 2 Sergii, Skakun 3 Oldoni, Lucas Volochen 4 Xaud, Haron A. M. 5 Xaud, Maristela R. 6 Adami, Marcos 7 Sanches, Ieda Del'Arco | |||
| Group | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 3 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 4 5 6 COEAM-CGGO-INPE-MCTI-GOV-BR 7 DIOTG-CGCT-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 University of Maryland 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) 5 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 victor.rohden@yahoo.com 2 3 lucasoldoni@outlook.com 4 5 6 adami16@gmail.com 7 iedasanches@gmail.com | |||
| Journal | ISPRS Journal of Photogrammetry and Remote Sensing | |||
| Volume | 189 | |||
| Pages | 95-109 | |||
| Secondary Mark | A1_GEOCIÊNCIAS A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS B1_ENGENHARIAS_IV B1_BIODIVERSIDADE C_CIÊNCIAS_AGRÁRIAS_I | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 upn:44QHRCS | |||
| History (UTC) | 2022-05-30 11:57:05 :: simone -> administrator :: 2022-05-30 11:57:06 :: administrator -> simone :: 2022 2022-05-30 11:57:54 :: simone -> administrator :: 2022 2023-01-03 16:46:07 :: 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 | Classification Multilayer Perceptron Random Forest Roraima state Sentinel images t-Distributed Stochastic Neighbor Embedding | |||
| Abstract | Remote sensing has an important role in the Land Use and Land Cover (LULC) mapping process worldwide. Combining spaceborne optical and microwave data is essential for accurate classification in areas with frequent cloud cover, such as tropical regions. In this study, we investigate the possible improvements, when SAR data is incorporated into the classification process along with optical data. We used MSI/Sentinel-2 and SAR/Sentinel-1 to provide LULC mapping in the Roraima State, Brazil, in 2019. This State is located in a tropical area, where the cloud cover is frequent over the year. Cloud cover becomes substantial, especially during the May-August period when crops are grown. Twenty-nine scenarios involving a combination of optical- and SAR-based features, as well as times of data acquisition, were considered in this study. Our results showed that optical or SAR data used individually are not enough to provide accurate LULC mapping. The best results in terms of overall accuracy (OA) were achieved using metrics of multi-temporal surface reflectance and vegetation index (VI) for optical imagery, and values of backscatter coefficient in different polarizations and their ratios yielding an OA of 86.41 ± 1.74%. Analysis of three periods of data (January to April, May to August, and September to December) used for classification allowed us to identify the optimal period for distinguishing specific classes. When comparing our LULC map with a LULC product derived within the MapBiomas project we observed that our method performed better to map annual and perennial crops and water classes. Our methodology provides a more accurate LULC for the Roraima State, and the proposed technique can be applied to benefit other regions that are affected by persistent cloud cover. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Multisensor approach to... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Multisensor approach to... | |||
| Arrangement 3 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGGO > Multisensor approach to... | |||
| 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 | Prudente_2022_multisensor.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | denypublisher denyfinaldraft24 | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3F3NU5S 8JMKD3MGPCW/46KUATE 8JMKD3MGPCW/46KUBT5 | |||
| Citing Item List | sid.inpe.br/bibdigital/2022/04.03.22.23 - 40 sid.inpe.br/bibdigital/2013/10.18.22.34 - 40 sid.inpe.br/bibdigital/2022/04.03.22.35 - 40 | |||
| Dissemination | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||