Fechar

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3PJDAD8
Repositóriosid.inpe.br/mtc-m21b/2017/09.06.14.34   (acesso restrito)
Última Atualização2017:09.06.14.34.12 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2017/09.06.14.34.12
Última Atualização dos Metadados2018:06.04.02.27.50 (UTC) administrator
DOI10.3390/f8080277
ISSN1999-4907
Chave de CitaçãoTreuhaftLeGoKeSaNeAl:2017:TrStBi
TítuloTropical-forest structure and biomass dynamics from TanDEM-X radar interferometry
Ano2017
MêsJuly
Data de Acesso09 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho12216 KiB
2. Contextualização
Autor1 Treuhaft, Robert
2 Lei, Yang
3 Gonçalves, Fabio
4 Keller, Michael
5 Santos, João Roberto dos
6 Neumann, Maxim
7 Almeida, André
Identificador de Curriculo1
2
3
4
5 8JMKD3MGP5W/3C9JHF4
Grupo1
2
3
4
5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Jet Propulsion Laboratory, California Institute of Technology
2 Jet Propulsion Laboratory, California Institute of Technology
3 Canopy Remote Sensing Solutions
4 Jet Propulsion Laboratory, California Institute of Technology
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Amazon
7 Universidade Federal de Sergipe (UFS)
Endereço de e-Mail do Autor1 robert.treuhaft@jpl.nasa.gov
2 yang.lei@jpl.nasa.gov
3 fabio@canopyrss.tech
4 mkeller.co2@gmail.com
5 joao.roberto@inpe.br
6 neumann.maxim@gmail.com
7 andre.almeida@ufs.br
RevistaForests
Volume8
Número8
PáginasArticle number 277
Histórico (UTC)2017-09-06 14:35:57 :: simone -> administrator :: 2017
2018-06-04 02:27:50 :: administrator -> simone :: 2017
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-Chavetropical forest dynamics
aboveground biomass
interferometric SAR
TanDEM-X
ResumoChanges in tropical-forest structure and aboveground biomass (AGB) contribute directly to atmospheric changes in CO2, which, in turn, bear on global climate. This paper demonstrates the capability of radar-interferometric phase-height time series at X-band (wavelength = 3 cm) to monitor changes in vertical structure and AGB, with sub-hectare and monthly spatial and temporal resolution, respectively. The phase-height observation is described, with a focus on how it is related to vegetation-density, radar-power vertical profiles, and mean canopy heights, which are, in turn, related to AGB. The study site covers 18 × 60 km in the Tapajós National Forest in the Brazilian Amazon. Phase-heights over Tapajós were measured by DLR's TanDEM-X radar interferometer 32 times in a 3.2 year period from 2011-2014. Fieldwork was done on 78 secondary and primary forest plots. In the absence of disturbance, rates of change of phase-height for the 78 plots were estimated by fitting the phase-heights to time with a linear model. Phase-height time series for the disturbed plots were fit to the logistic function to track jumps in phase-height. The epochs of clearing for the disturbed plots were identified with ≈1-month accuracy. The size of the phase-height change due to disturbance was estimated with ≈2-m accuracy. The monthly time resolution will facilitate REDD+ monitoring. Phase-height rates of change were shown to correlate with LiDAR RH90 height rates taken over a subset of the TanDEM-X data's time span (2012-2013). The average rate of change of phase-height across all 78 plots was 0.5 m-yr-1 with a standard deviation of 0.6 m-yr-1. For 42 secondary forest plots, the average rate of change of phase-height was 0.8 m-yr-1 with a standard deviation of 0.6 m-yr-1. For 36 primary forest plots, the average phase-height rate was 0.1 m-yr-1 with a standard deviation of 0.5 m-yr-1. A method for converting phase-height rates to AGB-rates of change was developed using previously measured phase-heights and field-estimated AGB. For all 78 plots, the average AGB-rate was 1.7 Mg-ha-1-yr-1 with a standard deviation of 4.0 Mg-ha-1-yr-1. The secondary-plot average AGB-rate was 2.1 Mg-ha-1-yr-1, with a standard deviation of 2.4 Mg-ha-1-yr-1. For primary plots, the AGB average rate was 1.1 Mg-ha-1-yr-1 with a standard deviation of 5.2 Mg-ha-1-yr-1. Given the standard deviations and the number of plots in each category, rates in secondary forests and all forests were significantly different from zero; rates in primary forests were consistent with zero. AGB-rates were compared to change models for Tapajós and to LiDAR-based change measurements in other tropical forests. Strategies for improving AGB dynamical monitoring with X-band interferometry are discussed.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Tropical-forest structure and...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 06/09/2017 11:34 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvoforests-08-00277-v3.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.51.02 2
DivulgaçãoWEBSCI
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)simone
atualizar 


Fechar