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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3KLJ3SB
Repositóriosid.inpe.br/mtc-m21b/2015/11.25.16.36   (acesso restrito)
Última Atualização2015:11.25.16.39.18 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2015/11.25.16.36.10
Última Atualização dos Metadados2018:06.04.02.55.52 (UTC) administrator
DOI10.1016/j.jag.2015.04.003
ISSN0303-2434
Chave de CitaçãoSawadaSJEOSASCCHLHKI:2015:Ne50Re
TítuloA new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery
Ano2015
MêsDec.
Data de Acesso11 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2797 KiB
2. Contextualização
Autor 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
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7 8JMKD3MGP5W/3C9JGUP
 8 8JMKD3MGP5W/3C9JJCQ
Grupo 1
 2
 3
 4
 5
 6
 7 DSR-OBT-INPE-MCTI-GOV-BR
 8 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação 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
Endereço de e-Mail do Autor 1
 2
 3
 4
 5
 6
 7 egidio.arai@inpe.br
 8 yosio@ltid.inpe.br
RevistaInternational Journal of Applied Earth Observation and Geoinformation
Volume43
Páginas92-101
Nota SecundáriaB1_GEOCIÊNCIAS
Histórico (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. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveCanopy height mapping
Amazon forest
ICESat/GLAS
MODIS
D-H model
ResumoIn 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.
ÁreaSRE
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvo2015_sawada.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.13.21.11 2
sid.inpe.br/mtc-m21/2012/07.13.14.45.03 1
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal 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
7. Controle da descrição
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