| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/3TM53A5 | |||
| Repository | sid.inpe.br/mtc-m21c/2019/07.19.11.29 (restricted access) | |||
| Last Update | 2019:07.19.11.29.14 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2019/07.19.11.29.14 | |||
| Metadata Last Update | 2021:03.03.22.52.22 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| DOI | 10.1007/978-3-030-24305-0_42 | |||
| ISBN | 978-303024304-3 | |||
| ISSN | 03029743 | |||
| Citation Key | PletschKöOlSaVeGaEs:2019:PoUsSe | |||
| Title | Potential of using Sentinel-1 data to distinguish targets in remote sensing images  | |||
| Year | 2019 | |||
| Access Date | 2024, May 19 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 2930 KiB | |||
| 2. Context | ||||
| Author | 1 Pletsch, Mikhaela Aloísia Jéssie Santos 2 Körting, Thales Sehn 3 Oliveira, Willian Vieira de 4 Sanches, Ieda Del'Arco 5 Velázquez Fernandez, Victor 6 Gama, Fábio Furlan 7 Escada, Maria Isabel Sobral | |||
| Resume Identifier | 1 2 3 4 5 6 8JMKD3MGP5W/3C9JH3P 7 8JMKD3MGP5W/3C9JHRG | |||
| ORCID | 1 0000-0002-1690-1175 2 0000-0002-0876-0501 3 0000-0002-7612-9121 4 0000-0003-1296-0933 5 0000-0001-7315-392X 6 0000-0002-4585-5067 7 0000-0002-5822-8265 | |||
| Group | 1 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 5 6 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 7 DIDPI-CGOBT-INPE-MCTIC-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 Universidade de São Paulo (USP) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 mikhaela.pletsch@inpe.br 2 thales.korting@inpe.br 3 willian.oliveira@inpe.br 4 ieda.sanches@inpe.br 5 vvf@usp.br 6 fabio.furlan@inpe.br 7 isabel.escada@inpe.br | |||
| Editor | Misra, Sanjay Gervasi, Osvaldo Murgante, Beniamino Stankova, Elena Korkhov, Vladimir Torre, Carmelo Rocha, Ana Maria A. C. Taniar, David Apduhan, Bernady O. Tarantino, Eufemia | |||
| Conference Name | International Conference on Computational Science and its Applications | |||
| Conference Location | Saint Petersburg, Russia | |||
| Date | 01-04 July | |||
| Publisher | Springer | |||
| Pages | 563-576 | |||
| Book Title | Proceedings | |||
| History (UTC) | 2019-07-19 11:29:14 :: simone -> administrator :: 2019-07-19 11:49:39 :: administrator -> simone :: 2019 2019-12-06 19:44:58 :: simone -> administrator :: 2019 2021-03-03 22:52:22 :: administrator -> simone :: 2019 | |||
| 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 | Radar Sentinel Land cover mapping Satellite imagery Pattern analysis | |||
| Abstract | Copernicus is the Worlds largest single Earth Observation (EO) programme, whose satellite constellations are planned to be launched between 2014 and 2025. Among the constellations, Sentinel-1 (S-1) is a C-band SAR able to support land cover mapping. Although optical data are commonly used for land cover monitoring, the low availability of cloud-free scenes along the year hinders the mapping process. In such a way, S-1 presents an important source of data, able of providing all-weather and day-and-night imagery of EO. In this study, we investigate the potential of using S-1 data to distinguish targets in Remote Sensing images in three different Brazilian biomes, Amazon, Cerrado, and Atlantic Forest. Based on that, we proposed a methodology to classify SAR images, which was validated considering a different area from the ones used for sampling purposes. The results showed that through S1 data, it is possible to detect mainly water and urban area targets, with overall accuracy of 0.90, evidencing that our approach is reproducible in other regions. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Potential of using... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Potential of using... | |||
| 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 | pletsch_Potential.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/3EQCCU5 8JMKD3MGPCW/3ER446E | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.45.57 1 sid.inpe.br/bibdigital/2013/09.09.15.05 1 | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition format label lineage mark mirrorrepository nextedition notes numberofvolumes organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||