| 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/3TP8RGE | |||
| Repository | sid.inpe.br/mtc-m21c/2019/08.01.15.38 | |||
| Last Update | 2019:11.18.11.55.51 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2019/08.01.15.38.45 | |||
| Metadata Last Update | 2020:01.06.11.42.17 (UTC) administrator | |||
| Secondary Key | INPE--PRE/ | |||
| DOI | 10.3390/rs11131600 | |||
| Citation Key | CamargoSanMurAlmAlm:2019:CoAsMa | |||
| Title | A comparative assessment of machine-learning techniques for land use and land cover classification of the Brazilian tropical savanna using ALOS-2/PALSAR-2 polarimetric images  | |||
| Year | 2019 | |||
| Access Date | 2024, May 18 | |||
| Secondary Type | PRE CI | |||
| Number of Files | 1 | |||
| Size | 2275 KiB | |||
| 2. Context | ||||
| Author | 1 Camargo, Flávio Fortes 2 Sano, Edson Eyji 3 Mura, José Cláudio 4 Almeida, Cláudia Maria de 5 Almeida, Tati de | |||
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JHGR 4 8JMKD3MGP5W/3C9JGS3 | |||
| Group | 1 2 3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR | |||
| Affiliation | 1 Universidade de Brasília (UnB) 2 Universidade de Brasília (UnB) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Universidade de Brasília (UnB) | |||
| Author e-Mail Address | 1 2 3 jose.mura@inpe.br 4 claudia.almeida@inpe.br | |||
| Conference Name | International Geoscience and Remote Sensing Symposium (IGARSS) | |||
| Conference Location | Yokohama, Japan | |||
| Date | 28 July - 02 Aug. | |||
| History (UTC) | 2019-08-01 15:38:45 :: simone -> administrator :: 2019-08-02 16:31:54 :: administrator -> simone :: 2019 2019-11-18 11:55:51 :: simone -> administrator :: 2019 2020-01-06 11:42:17 :: 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 | SAR polarimetry data mining thematic mapping Cerrado | |||
| Abstract | This study proposes a workflow for land use and land cover (LULC) classification of Advanced Land Observing Satellite-2 (ALOS-2) Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) images of the Brazilian tropical savanna (Cerrado) biome. The following LULC classes were considered: forestlands; shrublands; grasslands; reforestations; croplands; pasturelands; bare soils/straws; urban areas; and water reservoirs. The proposed approach combines polarimetric attributes, image segmentation, and machine-learning procedures. A set of 125 attributes was generated using polarimetric ALOS-2/PALSAR-2 images, including the van Zyl, Freeman Durden, Yamaguchi, and CloudePottier target decomposition components, incoherent polarimetric parameters (biomass indices and polarization ratios), and HH-, HV-, VH-, and VV-polarized amplitude images. These attributes were classified using the Naive Bayes (NB), DT J48 (DT = decision tree), Random Forest (RF), Multilayer Perceptron (MLP), and Support Vector Machine (SVM) algorithms. The RF, MLP, and SVM classifiers presented the most accurate performances. NB and DT J48 classifiers showed a lower performance in relation to the RF, MLP, and SVM. The DT J48 classifier was the most suitable algorithm for discriminating urban areas and natural vegetation cover. The proposed workflow can be replicated for other SAR images with different acquisition modes or for other types of vegetation domains. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > A comparative assessment... | |||
| Arrangement 2 | urlib.net > Produção anterior à 2021 > DIDSR > A comparative assessment... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://mtc-m21c.sid.inpe.br/ibi/8JMKD3MGP3W34R/3TP8RGE | |||
| zipped data URL | http://mtc-m21c.sid.inpe.br/zip/8JMKD3MGP3W34R/3TP8RGE | |||
| Language | en | |||
| Target File | remotesensing-11-01600.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.51.50 7 sid.inpe.br/bibdigital/2013/09.13.21.11 2 sid.inpe.br/mtc-m21/2012/07.13.14.43.49 2 | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Notes | Publicado na revista: Remote Sensing, v.11, 2019 | |||
| Empty Fields | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor format isbn issn label lineage mark mirrorrepository nextedition numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||