| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/436TFA5 | |||
| Repository | sid.inpe.br/mtc-m21c/2020/09.02.13.17 (restricted access) | |||
| Last Update | 2020:09.02.13.17.01 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2020/09.02.13.17.01 | |||
| Metadata Last Update | 2022:01.04.01.35.20 (UTC) administrator | |||
| DOI | 10.1109/JSTARS.2020.2994893 | |||
| ISSN | 1939-1404 2151-1535 | |||
| Citation Key | ShimabukuroArDuDuCaSaHo:2020:DiLaUs | |||
| Title | Discriminating land use and land cover classes in Brazil based on the annual PROBA-V 100 m time series  | |||
| Year | 2020 | |||
| Access Date | 2024, May 08 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 4018 KiB | |||
| 2. Context | ||||
| Author | 1 Shimabukuro, Yosio Edemir 2 Arai, Egídio 3 Duarte, Valdete 4 Dutra, Andeise Cerqueira 5 Cassol, Henrique Luis Godinho 6 Sano, Edson Eyji 7 Hoffmann, Tânia Beatriz | |||
| Resume Identifier | 1 8JMKD3MGP5W/3C9JJCQ 2 8JMKD3MGP5W/3C9JGUP 3 8JMKD3MGP5W/3C9JJAU | |||
| ORCID | 1 0000-0002-1469-8433 2 3 4 0000-0002-4454-7732 5 0000-0001-6728-4712 6 0000-0001-5760-556X 7 0000-0002-8246-5666 | |||
| Group | 1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 4 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 5 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 6 7 SER-SRE-SESPG-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 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) 7 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 yosio@dsr.inpe.br 2 egidio@dsr.inpe.br 3 valdete.duarte@inpe.br 4 andeise.dutra@inpe.br 5 henrique@dsr.inpe.br 6 edson.sano@embrapa.br 7 tania.hoffmann@inpe.br | |||
| Journal | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | |||
| Volume | 13 | |||
| Pages | 3409-3420 | |||
| History (UTC) | 2020-09-02 13:17:01 :: simone -> administrator :: 2022-01-04 01:35:20 :: administrator -> simone :: 2020 | |||
| 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 | —Fraction images image processing linear spectral mixing model (LSMM) random forest (RF) | |||
| Abstract | Brazil, with more than 8 million km2, presents six different biomes, ranging from natural grasslands (Pampa biome) to tropical rainfall forests (Amazônia biome), with different land-use types (mostly pasturelands and croplands) and pressures (mainly in the Cerrado biome). The objective of this article is to present a new method to discriminate the most representative land use and land cover (LULC) classes of Brazil, based on the PROBA-V images. The images were converted into vegetation, soil, and shade fraction images by applying the linear spectral mixing model. Then, the pixel-based, highest proportion, annual mosaics of the fraction images, and their corresponding standard deviation images were derived and classified using the random forest algorithm. The following LULC classes were considered: forestlands, shrublands, grasslands, croplands, pasturelands, water bodies, and others. An agreement analysis was conducted with two available LULC maps derived from the Landsat satellite, the MapBiomas, and the Finer Resolution Observation and Monitoring-Global Land Cover (FROM-GLC) projects. Forestlands (412 million ha) and pasturelands (242 million ha) were the two most representative LULC classes; and croplands accounted for 30 million ha. The results presented an overall agreement of 69% and 58% with the MapBiomas and FROM-GLC projects, respectively. The proposed method is a good alternative to support operational projects of LULC map production that are important for planning biodiversity conservation or environmentally sustainable land occupation. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Discriminating land use... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Discriminating land use... | |||
| 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 | shimabukuro_discriminating.pdf | |||
| User Group | simone | |||
| Visibility | shown | |||
| Archiving Policy | denypublisher allowfinaldraft | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S | |||
| Dissemination | WEBSCI; IEEEXplore. | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository month nextedition notes number parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||