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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/438RS7B
Repositóriosid.inpe.br/mtc-m21c/2020/09.14.11.48   (acesso restrito)
Última Atualização2020:09.14.11.48.59 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/09.14.11.48.59
Última Atualização dos Metadados2022:01.04.01.35.23 (UTC) administrator
DOI10.5194/isprs-Annals-V-3-2020-89-2020
ISSN0924-2716
Chave de CitaçãoDoblasCaShSaArPe:2020:StSeSa
TítuloStabilization of sentinel-1 sar time-series using climate and forest structure data for early tropical deforestation detection
Ano2020
MêsAug.
Data de Acesso31 out. 2024
Tipo de Trabalhoconference paper
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1164 KiB
2. Contextualização
Autor1 Doblas, Juan Prieto
2 Carneiro, Arian
3 Shimabukuro, Yosio Edemir
4 Sant'Anna, Sidnei João Siqueira
5 Aragão, Luiz Eduardo Oliveira e Cruz de
6 Pereira, Francisca Rocha de Souza
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JJCQ
4 8JMKD3MGP5W/3C9JJ8N
Grupo1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
6 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 juan.doblas@inpe.br
2 arian.carneiro@inpe.br
3 yosio.shimabukuro@inpe.br
4 sidnei.santanna@inpe.br
5 luiz.aragao@inpe.br
6 francisca.pereira@inpe.br
RevistaISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume5
Número3
Páginas89-96
Histórico (UTC)2020-09-14 11:48:59 :: simone -> administrator ::
2022-01-04 01:35:23 :: administrator -> simone :: 2020
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-ChaveRemote Sensing
Time-series Data
SAR
Modelling
Deforestation Detection
Change Detection
ResumoIn this study we analyse the factors of variability of Sentinel-1 C-band radar backscattering over tropical rainforests, and propose a method to reduce the effects of this variability on deforestation detection algorithms. To do so, we developed a random forest regression model that relates Sentinel-1 gamma nought values with local climatological data and forest structure information. The model was trained using long time-series of 26 relevant variables, sampled over 6 undisturbed tropical forests areas. The resulting model explained 71.64% and 73.28% of the SAR signal variability for VV and VH polarizations, respectively. Once the best model for every polarization was selected, it was used to stabilize extracted pixel-level data of forested and non-deforested areas, which resulted on a 10 to 14% reduction of time-series variability, in terms of standard deviation. Then a statistically robust deforestation detection algorithm was applied to the stabilized time-series. The results show that the proposed method reduced the rate of false positives on both polarizations, especially on VV (from 21% to 2%, α=0.01). Meanwhile, the omission errors increased on both polarizations (from 27% to 37% in VV and from 27% to 33% on VV, α=0.01). The proposed method yielded slightly better results when compared with an alternative state-of-the-art approach (spatial normalization).
ÁreaSRE
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 14/09/2020 08:48 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvodoblas_stabilization.pdf
Grupo de Usuáriossimone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Notas2020 24th ISPRS Congress on Technical Commission III; Nice, Virtual; France; 31 August 2020 through 2 September 2020;
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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