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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3J9QUL8
Repositorysid.inpe.br/mtc-m21b/2015/04.07.12.46   (restricted access)
Last Update2015:04.07.12.48.02 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2015/04.07.12.46.27
Metadata Last Update2018:06.04.02.55.20 (UTC) administrator
DOI10.1186/s13021-015-0013-x
ISSN1750-0680
Citation KeyLeitoldKelMorCooShi:2015:OpTrRE
TitleAirborne lidar-based estimates of tropical forest structure in complex terrain: opportunities and trade-offs for REDD+
Year2015
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1483 KiB
2. Context
Author1 Leitold, Veronika
2 Keller, Michael
3 Morton, Douglas C.
4 Cook, Bruce D.
5 Shimabukuro, Yosio Edemir
Resume Identifier1
2
3
4
5 8JMKD3MGP5W/3C9JJCQ
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2
3
4
5 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2
3 NASA
4 NASA
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 veronika.leitold@nasa.gov
2
3
4
5 yosio@ltid.inpe.br
JournalCarbon Balance and Management
Volume10
Number3
History (UTC)2015-04-07 12:46:27 :: simone -> administrator ::
2018-06-04 02:55:20 :: administrator -> simone :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsTropical montane forest
Airborne lidar
Digital Terrain Model
Elevation accuracy
Data thinning
Canopy height
Biomass estimation
REDD+
AbstractBackground: Carbon stocks and fluxes in tropical forests remain large sources of uncertainty in the global carbon budget. Airborne lidar remote sensing is a powerful tool for estimating aboveground biomass, provided that lidar measurements penetrate dense forest vegetation to generate accurate estimates of surface topography and canopy heights. Tropical forest areas with complex topography present a challenge for lidar remote sensing. Results: We compared digital terrain models (DTM) derived from airborne lidar data from a mountainous region of the Atlantic Forest in Brazil to 35 ground control points measured with survey grade GNSS receivers. The terrain model generated from full-density (~20 returns m−2) data was highly accurate (mean signed error of 0.19 ± 0.97 m), while those derived from reduced-density datasets (8 m−2,4m−2,2m−2 and 1 m−2) were increasingly less accurate. Canopy heights calculated from reduced-density lidar data declined as data density decreased due to the inability to accurately model the terrain surface. For lidar return densities below 4 m−2, the bias in height estimates translated into errors of 80125 Mg ha−1 in predicted aboveground biomass. Conclusions: Given the growing emphasis on the use of airborne lidar for forest management, carbon monitoring, and conservation efforts, the results of this study highlight the importance of careful survey planning and consistent sampling for accurate quantification of aboveground biomass stocks and dynamics. Approaches that rely primarily on canopy height to estimate aboveground biomass are sensitive to DTM errors from variability in lidar sampling density.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Airborne lidar-based estimates...
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4. Conditions of access and use
Languageen
Target Fileleitold_airborne.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.15.02.10 5
DisseminationPORTALCAPES; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
Empty Fieldsalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark month nextedition notes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
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