1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/43BQREB |
Repository | sid.inpe.br/mtc-m21c/2020/10.02.17.03 (restricted access) |
Last Update | 2020:10.02.17.03.28 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21c/2020/10.02.17.03.28 |
Metadata Last Update | 2022:01.04.01.35.28 (UTC) administrator |
DOI | 10.5194/isprs-archives-XLIII-B3-2020-1039-2020 |
ISSN | 0256-1840 |
Citation Key | OldoniPrDiWiSaGa:2020:PoSADa |
Title | Polarimetric SAR data from sentinel-1a applied to early crop classification |
Year | 2020 |
Month | Aug. |
Access Date | 2024, May 19 |
Type of Work | conference paper |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 1112 KiB |
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2. Context | |
Author | 1 Oldoni, Lucas Volochen 2 Prudente, Victor Hugo Rohden 3 Diniz, Juliana Maria Ferreira de Souza 4 Wiederkehr, Natália Cristina 5 Sanches, Ieda Del'Arco 6 Gama, Fábio Furlan |
Resume Identifier | 1 2 3 4 5 6 8JMKD3MGP5W/3C9JH3P |
Group | 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 2 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 3 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 4 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 6 DIDSR-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 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 lucas.oldoni@inpe.br 2 victor.prudente@inpebr 3 juliana.diniz@inpe.br 4 natalia.wiederkeh@inpe.br 5 ieda.sanches@inpe.br 6 fabio.gama@inpe.br |
Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Volume | 43 |
Number | B3 |
Pages | 1039-1046 |
History (UTC) | 2020-10-02 17:03:51 :: simone -> administrator :: 2020 2022-01-04 01:35:28 :: administrator -> simone :: 2020 |
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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 | Agriculture monitoring Remote Sensing Microwave Soybean Early classification Machine learning |
Abstract | This paper aims to map crops in two Brazilian municipalities, Luís Eduardo Magalhães (LEM) and Campo Verde, using dualpolarimetric Sentinel-1A images. The specific objectives were: (1) to evaluate the accuracy gain in the crop classification using Sentinel-1A multitemporal data backscatter coefficients and ratio (σ0VH, σ0VV and, σ0VH/σ0VV, denominate BS group) in comparison to the addition of polarimetric attributes (σ0VH, σ0VV, σ 0VH/σ0VV, H, and α, denominate BP group) and; (2) to assess the accuracy gain in the earliest crop classification, creating new scenarios with the addition of the new SAR data together with the previous images for each date and group (BS and BP) during the crop development. For BS and BP groups, 13 e 10 scenarios were analyzed in LEM and Campo Verde, respectively. For the classification process, we used the Random Forest (RF) algorithm. In the LEM site, the best results for BS and BP groups were equivalent (overall accuracy: ~82%), while for the Campo Verde site, the classification accuracy for the BP group (overall accuracy: ~80%) was 2% higher than the BS group. The addition of new images during the crop development period increased the earliest crop classification overall accuracy, stabilizing from mid-February in LEM and mid-December in Campo Verde, after 10 and 8 images, respectively. After these periods, the gain in classification accuracy was small with the addition of new images. In general, our results suggest the backscattering coefficients and polarimetric attributes extracted from the Sentinel-1A imagery exhibited a great performance to discriminate croplands. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > DIDSR > Polarimetric SAR data... |
Arrangement 2 | urlib.net > Produção pgr ATUAIS > SER > Polarimetric SAR data... |
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 | oldoni_polarimetric.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S |
Citing Item List | sid.inpe.br/bibdigital/2013/10.18.22.34 4 sid.inpe.br/bibdigital/2013/09.13.21.11 4 sid.inpe.br/mtc-m21/2012/07.13.14.45.57 1 |
Dissemination | PORTALCAPES; SCOPUS. |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Notes | 2020 24th ISPRS Congress - Technical Commission III; Nice, Virtual; France; 31 August 2020 through 2 September 2020 |
Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
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