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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/4935E4P
Repositorysid.inpe.br/mtc-m21d/2023/05.03.12.44   (restricted access)
Last Update2023:05.03.12.44.08 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2023/05.03.12.44.08
Metadata Last Update2024:01.02.17.16.42 (UTC) administrator
DOI10.1016/j.catena.2023.107127
ISSN0341-8162
Citation KeyLouzadaReDiRoGaBe:2023:CoOpMi
TitleCombining optical and microwave remote sensing for assessing gullies in human-disturbed vegetated landscapes
Year2023
MonthJuly
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size15721 KiB
2. Context
Author1 Louzada, Rômullo O.
2 Reis, Letícia K.
3 Diniz, Juliana Maria Ferreira de Souza
4 Roque, Fabio de O.
5 Gama, Fábio Furlan
6 Bergier, Ivan
Resume Identifier1
2
3
4
5 8JMKD3MGP5W/3C9JH3P
Group1
2
3 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
4
5 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Universidade Federal de Mato Grosso do Sul (UFMS)
2 Universidade Federal de Mato Grosso do Sul (UFMS)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade Federal de Mato Grosso do Sul (UFMS)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Embrapa Pantanal
Author e-Mail Address1 romullo_louzada@yahoo.com.br
2
3 juju-dinizsvm@hotmail.com
4
5 fabio.furlan@inpe.br
JournalCatena
Volume228
Pagese107127
Secondary MarkA1_GEOGRAFIA A1_ENGENHARIAS_I A2_SOCIOLOGIA A2_GEOCIÊNCIAS A2_ENGENHARIAS_III A2_CIÊNCIAS_AGRÁRIAS_I B2_QUÍMICA B2_CIÊNCIAS_BIOLÓGICAS_I B3_ASTRONOMIA_/_FÍSICA C_ZOOTECNIA_/_RECURSOS_PESQUEIROS
History (UTC)2023-05-03 12:44:08 :: simone -> administrator ::
2023-05-03 12:44:10 :: administrator -> simone :: 2023
2023-05-03 12:44:34 :: simone -> administrator :: 2023
2024-01-02 17:16:42 :: administrator -> simone :: 2023
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsGully detection
Land use
Random Forest classification
SAR
Spectral unmixing
AbstractThe accurate assessment of the gully is key to stopping soil loss, especially in agricultural landscapes. This study aims to combine freely distributed remote sensing data for the evaluation of gullies located in a tropical watershed with a history of cattle production. Eighty-four vectorized gullies were defined in the Pirizal River basin, part of the highly eroded Upper Taquari (Brazil). We examined 56 variables from Sentinel-1/2 and ALOS-PALSAR-1 datasets, including SAR products and optical products like textures, water, vegetation, and terrain indices. Following a correlation analysis, 19 variables were selected for mapping in a Random Forest classifier by considering samples of active (soil) and stabilized (vegetation) pixels. The method reached an overall accuracy of 89%, in which soil abundance was responsible for 44% of the overall importance in the classification. Optical indices and texture products outperformed SAR products, whose importance represented only 14%. In the studied river basin, about 63% of the gullies were found stabilized, 30% in the process of stabilization, and only 7% active. The method proved effective, low cost, and promptly replicable to general river basins with gullies, mainly those in the tropics where vegetation has a significant role in soil loss control.
AreaSRE
Arrangement 1urlib.net > Produção pgr ATUAIS > SER > Combining optical and...
Arrangement 2urlib.net > Produção a partir de 2021 > CGCT > Combining optical and...
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4. Conditions of access and use
Languageen
Target File1-s2.0-S0341816223002187-main.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 6
sid.inpe.br/bibdigital/2022/04.03.22.23 3
sid.inpe.br/mtc-m21/2012/07.13.14.45.57 2
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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