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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3KLJ3SB
Repositorysid.inpe.br/mtc-m21b/2015/11.25.16.36   (restricted access)
Last Update2015:11.25.16.39.18 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21b/2015/11.25.16.36.10
Metadata Last Update2018:06.04.02.55.52 (UTC) administrator
DOI10.1016/j.jag.2015.04.003
ISSN0303-2434
Citation KeySawadaSJEOSASCCHLHKI:2015:Ne50Re
TitleA new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery
Year2015
MonthDec.
Access Date2024, May 19
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2797 KiB
2. Context
Author 1 Sawada, Yoshito
 2 Suwa, Rempei
 3 Jindo, Keiji
 4 Endo, Takahiro
 5 Oki, Kazuo
 6 Sawada, Haruo
 7 Arai, Egidio
 8 Shimabukuro, Yosio Edemir
 9 Celes, Carlos Henrique Souza
10 Campos, Moarcir Alberto Assis
11 Higuchi, Francisco Gasparetto
12 Lima, Adriano José Nogueira
13 Higuchi, Niro
14 Kajimoto, Takuya
15 Ishizuka, Moriyoshi
Resume Identifier 1
 2
 3
 4
 5
 6
 7 8JMKD3MGP5W/3C9JGUP
 8 8JMKD3MGP5W/3C9JJCQ
Group 1
 2
 3
 4
 5
 6
 7 DSR-OBT-INPE-MCTI-GOV-BR
 8 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation 1 Institute of Industrial Science (IIS), The University of Tokyo, Meguro, Tokyo, Japan
 2 Forestry and Forest Products Research Institute (FFPRI), Tsukuba, Ibaraki, Japan
 3 Institute of Industrial Science (IIS), The University of Tokyo, Meguro, Tokyo, Japan
 4 University of Kyoto
 5 Institute of Industrial Science (IIS), The University of Tokyo, Meguro, Tokyo, Japan
 6 Institute of Industrial Science (IIS), The University of Tokyo, Meguro, Tokyo, Japan
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Instituto Nacional de Pesquisas da Amazônia (INPA)
10 Instituto Nacional de Pesquisas da Amazônia (INPA)
11 Instituto Nacional de Pesquisas da Amazônia (INPA)
12 Instituto Nacional de Pesquisas da Amazônia (INPA)
13 Instituto Nacional de Pesquisas da Amazônia (INPA)
14 Forestry & Forest Prod Resesarh Institute
15 Forestry and Forest Products Research Institute (FFPRI), Tsukuba, Ibaraki, Japan
Author e-Mail Address 1
 2
 3
 4
 5
 6
 7 egidio.arai@inpe.br
 8 yosio@ltid.inpe.br
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume43
Pages92-101
Secondary MarkB1_GEOCIÊNCIAS
History (UTC)2015-11-25 16:36:10 :: simone -> administrator ::
2016-06-21 18:43:38 :: administrator -> simone :: 2015
2016-08-19 16:31:49 :: simone -> administrator :: 2015
2018-06-04 02:55:52 :: administrator -> simone :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsCanopy height mapping
Amazon forest
ICESat/GLAS
MODIS
D-H model
AbstractIn the present study, we aimed to map canopy heights in the Brazilian Amazon mainly on the basis of spacebome LiDAR and cloud-free MODIS imagery with a new method (the Self-Organizing Relationships method) for spatial modeling of the LiDAR footprint. To evaluate the general versatility, we compared the created canopy height map with two different canopy height estimates on the basis of our original field study plots (799 plots located in eight study sites) and a previously developed canopy height map. The compared canopy height estimates were obtained by: (1) a stem diameter at breast height (D)- tree height (H) relationship specific to each site on the basis of our original field study, (2) a previously developed D-H model involving environmental and structural factors as explanatory variables (Feldpausch et al., 2011), and (3) a previously developed canopy height map derived from the spacebome LiDAR data with different spatial modeling method and explanatory variables (Simard et al., 2011). As a result, our canopy height map successfully detected a spatial distribution pattern in canopy height estimates based on our original field study data (r=0.845, p = 8.31 x 10(-3)) though our canopy height map showed a poor correlation (r= 0.563, p =0.146) with the canopy height estimate based on a previously developed model by Feldpausch et al. (2011). We also confirmed that the created canopy height map showed a similar pattern with the previously developed canopy height map by Simard et al. (2011). It was concluded that the use of the spaceborne LiDAR data provides a sufficient accuracy in estimating the canopy height at regional scale.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > A new 500-m...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target File2015_sawada.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
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/bibdigital/2013/09.13.21.11 2
sid.inpe.br/mtc-m21/2012/07.13.14.45.03 1
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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