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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/47UQRS2
Repositorysid.inpe.br/mtc-m21d/2022/11.10.13.57
Last Update2022:11.10.13.57.17 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2022/11.10.13.57.17
Metadata Last Update2023:01.23.17.06.35 (UTC) administrator
DOI10.1117/1.JRS.16.034516
ISSN1931-3195
Citation KeyBelloliGuKuRuArEtSi:2022:EsAbBi
TitleEstimation of aboveground biomass and carbon in palustrine wetland using bands and multispectral indices derived from optical satellite imageries PlanetScope and Sentinel-2A
Year2022
MonthJuly
Access Date2024, May 16
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size3714 KiB
2. Context
Author1 Belloli, Tassia Fraga
2 Guasselli, Laurindo Antonio
3 Kuplich, Tatiana Mora
4 Ruiz, Luis Fernando Chimelo
5 Arruda, Diniz Carvalho de
6 Etchelar, Cecilia Balsamo
7 Simioni, João Delapasse
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JJ9P
ORCID1 0000-0001-6365-7796
2 0000-0001-8300-846X
3 0000-0003-0657-4024
4 0000-0003-3800-6902
5
6 0000-0002-7914-8352
Group1
2
3 COESU-CGGO-INPE-MCTI-GOV-BR
Affiliation1 Universidade Federal do Rio Grande do Sul (UFRGS)
2 Universidade Federal do Rio Grande do Sul (UFRGS)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Nucleus for Research and Development of Innovative Technologies
5 Universidade Federal do Rio Grande do Sul (UFRGS)
6 Universidade Federal do Rio Grande do Sul (UFRGS)
7 Universidade Federal do Rio Grande do Sul (UFRGS)
Author e-Mail Address1 tassiabellolif@gmail.com
2
3 tkuplich@gmail.com
JournalJournal of Applied Remote Sensing
Volume16
Number3
Pagese034516
Secondary MarkA2_GEOGRAFIA B1_GEOCIÊNCIAS B1_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B5_CIÊNCIAS_AMBIENTAIS
History (UTC)2022-11-10 13:57:17 :: simone -> administrator ::
2022-11-10 13:57:18 :: administrator -> simone :: 2022
2022-11-10 13:58:02 :: simone -> administrator :: 2022
2023-01-23 17:06:35 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsaboveground biomass
blue carbon
remote sensing
marsh
predictive models
AbstractFacing the climate change and anthropogenic activities that have been discharging a large proportion of carbon dioxide CO2) into the atmosphere, wetlands stand out as an important sink for CO2 that is fixed in plant biomass and peatlands. Therefore, quantifying and monitoring wetland biomass is of great importance to preserve carbon stocks. This study aims to explore the potential of multispectral bands and vegetation indices (VIs) derived from PlanetScope and Sentinel-2A sensors to estimate of aboveground biomass (AGB) and organic carbon in AGB (Corg) in the emergent vegetation of a palustrine wetland. We use correlation analysis and linear regression models to examine the relationships between spectral and biophysical variables and verify the best predictor spectral variables for AGB and Corg. Scirpus giganteus vegetation was sampled in the Banhado Grande wetland, in southern Brazil. The VIs were best correlated and preferred as predictor variables. The most accurate model used data from the PlanetScope sensor and VI of photochemical reflectance. Both sensors showed potential for pixel-based estimates of AGB and Corg due to their low RMSE values and their contribution as predictors of biophysical variables, which can contribute to opening new avenues in scientific research focusing on the management, monitoring, and conservation of marshes and your ecosystem service of carbon sink.
AreaSRE
ArrangementEstimation of aboveground...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34T/47UQRS2
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34T/47UQRS2
Languageen
Target File034516_1.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUBT5
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.35 7
sid.inpe.br/mtc-m21/2012/07.13.15.00.48 2
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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7. Description control
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