Close
Metadata

1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3R3EKQ8
Repositorysid.inpe.br/mtc-m21c/2018/05.04.19.13
Last Update2018:05.04.19.13.00 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2018/05.04.19.13.01
Metadata Last Update2020:12.07.21.11.36 (UTC) administrator
DOI10.3390/rs10040637
ISSN2072-4292
Citation KeyPereiraKaSoEsBeVi:2018:ReUnMa
TitleReducing uncertainty in mapping of mangrove aboveground biomass using airborne discrete return lidar data
Year2018
MonthApr.
Access Date2024, May 27
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size4183 KiB
2. Context
Author1 Pereira, Francisca Rocha de Souza
2 Kampel, Milton
3 Soares, Mário Luiz Gomes
4 Estrada, Gustavo Calderucio Duque
5 Bentz, Cristina
6 Vincent, Gregoire
Resume Identifier1
2 8JMKD3MGP5W/3C9JHTG
ORCID1 0000-0002-1319-7717
2 0000-0002-0011-2083
3 0000-0002-3312-7257
4
5 0000-0003-0232-6912
6 0000-0001-9443-021X
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Estadual do Rio de Janeiro (UERJ)
4 Golder Associates
5 Petrobras
6 Universite Montpellier
Author e-Mail Address1 franrspereira@gmail.com
2 milton.kampel@inpe.br
3 mariolgs@uerj.br
4 gestrada@golder.com
5 cris@petrobras.com.br
6 gregoire.vincent@ird.fr
JournalRemote Sensing
Volume10
Number4
Pagese637
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2018-05-04 19:13:01 :: simone -> administrator ::
2018-05-04 19:13:01 :: administrator -> simone :: 2018
2018-05-04 19:14:04 :: simone -> administrator :: 2018
2018-07-04 17:51:14 :: administrator -> simone :: 2018
2018-08-07 13:54:22 :: simone -> administrator :: 2018
2020-12-07 21:11:36 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsdiscrete return lidar
mangrove
aboveground biomass
uncertainty
AbstractRemote sensing techniques offer useful tools for estimating forest biomass to large extent, thereby contributing to the monitoring of land use and landcover dynamics and the effectiveness of environmental policies. The main goal of this study was to investigate the potential use of discrete return light detection and ranging (lidar) data to produce accurate aboveground biomass (AGB) maps of mangrove forests. AGB was estimated in 34 small plots scatted over a 50 km2 mangrove forest in Rio de Janeiro, Brazil. Plot AGB was computed using either species-specific or non-species-specific allometric models. A total of 26 descriptive lidar metrics were extracted from the normalized height of the lidar point cloud data, and various model forms (random forest and partial least squares regression with backward selection of predictors (Auto-PLS)) were tested to predict the recorded AGB. The models developed using species-specific allometric models were distinctly more accurate (R2 (calibration) = 0.89, R2 (validation) = 0.80, root-mean-square error (RMSE, calibration) = 11.20 t·ha−1 , and RMSE(validation) = 14.80 t·ha−1 ). The use of non-species-specific allometric models yielded large errors on a landscape scale (+14% or −18% bias depending on the allometry considered), indicating that using poor quality training data not only results in low precision but inaccuracy at all scales. It was concluded that under suitable sampling pattern and provided that accurate field data are used, discrete return lidar can accurately estimate and map the AGB in mangrove forests. Conversely this study underlines the potential bias affecting the estimates of AGB in other forested landscapes where only non-species-specific allometric equations are available.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Reducing uncertainty in...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Reducing uncertainty in...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 04/05/2018 16:13 1.0 KiB 
4. Conditions of access and use
data URLhttp://mtc-m21c.sid.inpe.br/ibi/8JMKD3MGP3W34R/3R3EKQ8
zipped data URLhttp://mtc-m21c.sid.inpe.br/zip/8JMKD3MGP3W34R/3R3EKQ8
Languageen
Target Filepereira_reducing.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Linking8JMKD3MGP3W34P/3MM3DAP
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/bibdigital/2013/09.13.21.11 5
sid.inpe.br/bibdigital/2013/10.18.22.34 2
sid.inpe.br/mtc-m21/2012/07.13.14.56.38 1
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarytype url
7. Description control
e-Mail (login)simone
update 


Close