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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3TQH7R5
Repositóriosid.inpe.br/mtc-m21c/2019/08.09.16.53   (acesso restrito)
Última Atualização2019:08.09.16.53.59 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/08.09.16.53.59
Última Atualização dos Metadados2020:01.06.11.42.17 (UTC) administrator
DOI10.1016/j.rse.2019.05.013
ISSN0034-4257
Chave de CitaçãoBispoPPKBRSRTSA:2019:MaFoSu
TítuloMapping forest successional stages in the Brazilian Amazon using forest heights derived from TanDEM-X SAR interferometry
Ano2019
MêsOct.
Data de Acesso10 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3304 KiB
2. Contextualização
Autor 1 Bispo, Polyanna da Conceição
 2 Pardini, Matteo
 3 Papathanassiou, Konstantinos P.
 4 Kluger, Florian
 5 Balzter, Heiko
 6 Rains, Dominik
 7 Santos, João Roberto dos
 8 Rizaev, Igor G.
 9 Tansey, Kevin
10 Santos, Maiza Nara dos
11 Araujo, Luciana Spinelli
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7 8JMKD3MGP5W/3C9JHF4
Grupo 1
 2
 3
 4
 5
 6
 7 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação 1 University of Leicester
 2 German Aerospace Center (DLR)
 3 German Aerospace Center (DLR)
 4 German Aerospace Center (DLR)
 5 University of Leicester
 6 Ghent University
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
 8 University of Bristol
 9 University of Leicester
10 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
11 Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Endereço de e-Mail do Autor 1 polybispo@gmail.com
RevistaRemote Sensing of Environment
Volume232
Páginas111194
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
Histórico (UTC)2019-08-09 16:53:59 :: simone -> administrator ::
2019-08-09 16:53:59 :: administrator -> simone :: 2019
2019-08-09 16:56:16 :: simone -> administrator :: 2019
2020-01-06 11:42:17 :: administrator -> simone :: 2019
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 forests
Successional stages
Forest height
Synthetic Aperture Radar
Interferometry
TanDEM-X
ResumoKnowledge of the spatial patterns of successional stages (i.e., primary and secondary forest) in tropical forests allows to monitor forest preservation, mortality and regeneration in relation to natural and anthropogenic disturbances. Different successional stages have also different capabilities of re-establishing carbon stocks. Therefore, a successful discrimination of successional stages over wide areas can lead to an improved quantification of above ground biomass and carbon stocks. The reduction of the mapping uncertainties is especially a challenge due to high heterogeneity of the tropical vegetation. In this framework, the development of innovative remote sensing approaches is required. Forests (top) height (and its spatial distribution) are an important structural parameter that can be used to differentiate between different successional stages, and can be provided by Interferometric Synthetic Aperture Radar (InSAR) acquisitions. In this context, this paper investigates the potential of forest heights estimated from TanDEM-X InSAR data and a LiDAR digital terrain model (DTM) for separating successional stages (primary or old growth and secondary forest at different stages of succession) by means of a maximum likelihood classification. The study was carried out in the region of the Tapajós National Forest (Pará, Brazil) in the Amazon biome. The forest heights for three years (2012, 2013 and 2016) were estimated from a single-polarization in bistatic mode using InSAR model-based inversion techniques aided by the LiDAR digital terrain model. The validation of the TanDEM-X forest heights with independent LiDAR H100 datasets was carried out in the location of seven field inventory plots (measuring 50 × 50 m, equivalent to 0.25 ha), also allowing for the validation of the LiDAR datasets against the field data. The validation of the estimated heights showed a high correlation (r = 0.93) and a low uncertainty (RMSE = 3 m). The information about the successional stages and forest heights from field datasets was used to select training samples in the LiDAR and TanDEM-X forest heights to classify successional stages with a maximum likelihood classifier. The identification of different stages of forest succession based on TanDEM-X forest heights was possible with an overall accuracy of about 80%.
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvobispo_mapping.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentodenypublisher allowfinaldraft24
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 3
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository 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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