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Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3JM4AKC
Repositorysid.inpe.br/marte2/2015/06.15.15.14.07
Last Update2015:06.15.15.14.07 (UTC) banon
Metadatasid.inpe.br/marte2/2015/06.15.15.14.08
Metadata Last Update2018:06.06.03.21.04 (UTC) administrator
ISBN978-85-17-0076-8
Label600
Citation KeySatoShiKelSanAra:2015:AnReDa
TitleAnálise da relação entre dados de LiDAR e de biomassa florestal no sudoeste da Amazônia
FormatInternet
Year2015
Access Date2022, Jan. 22
Secondary TypePRE CN
Number of Files1
Size869 KiB
Context area
Author1 Sato, Luciane Yumie
2 Shimabukuro, Yosio Edemir
3 Keller, Michael
4 Santos, Maiza Nara dos
5 Aragão, Luiz Eduardo Oliveira e Cruz de
Resume Identifier1
2 8JMKD3MGP5W/3C9JJCQ
Group1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3
4
5 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3
4
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 lusato@dsr.inpe.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
e-Mail Addresswanderf@dsr.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 17 (SBSR)
Conference LocationJoão Pessoa
Date25-29 abr. 2015
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages3005-3012
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2015-06-15 15:14:08 :: banon -> administrator ::
2018-06-06 03:21:04 :: administrator -> simone :: 2015
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Is the master or a copy?is the master
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Transferable1
AbstractUnderstanding the dynamics of tropical forest structure is critical for quantifying impacts of environmental changes on these ecosystems. Biomass is one of the main forest structural attributes and its quantification allows the analysis of changes in carbon stocks. However, a comprehensive assessment of tropical forest dynamics is dependent on the use of remote sensing techniques, because of its large geographical extent. In this context, Light Detection and Ranging (LiDAR) stands out as a recent technology used to obtain direct measurements of vegetation height. This work aims to perform a preliminary analysis of the relationship between LiDAR data and field measurements of forest structure in areas located in the southwestern flank of the Brazilian Amazon. Ultimately, our goal is to analyze changes in above-ground biomass (AGB) and carbon stocks in these areas. We found that height obtained from LiDAR data and biomass are linearly related, resulting in a R2 equal to 0.4425. This result indicate that mean height from LiDAR data may not be the most suitable measurement to estimate AGB if used as a single variable. We suggest that other metrics, such as wood density, 70th, 80th, 90th, 95th, 99th LiDAR height percentiles, can further improve the estimation of AGB from LIDAR data. Moreover, we also envisage that it is required to introduce alternative ways to estimate on-the-ground biomass at the plot level, as the experimental design did not allow direct comparison.
AreaSRE
TypeLIDAR: sensores e aplicações
Arrangement 1urlib.net > BDMCI > Fonds > SBSR > SBSR 17 > Análise da relação...
Arrangement 2urlib.net > BDMCI > Fonds > Produção > DIDSR > SBSR 17 > Análise da relação...
Arrangement 3Projeto Memória 60... > Livros e livros editados > SBSR 17 > Análise da relação...
Arrangement 4urlib.net > BDMCI > Fonds > Produção > DIDSR > Análise da relação...
Arrangement 5urlib.net > BDMCI > Fonds > Produção PGR > SER > Análise da relação...
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data URLhttp://urlib.net/ibi/8JMKD3MGP6W34M/3JM4AKC
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3JM4AKC
Languagept
Target Filep0600.pdf
User Groupbanon
Visibilityshown
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Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3JJLLP2
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
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