1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34R/438RS7B |
Repositório | sid.inpe.br/mtc-m21c/2020/09.14.11.48 (acesso restrito) |
Última Atualização | 2020:09.14.11.48.59 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21c/2020/09.14.11.48.59 |
Última Atualização dos Metadados | 2022:01.04.01.35.23 (UTC) administrator |
DOI | 10.5194/isprs-Annals-V-3-2020-89-2020 |
ISSN | 0924-2716 |
Chave de Citação | DoblasCaShSaArPe:2020:StSeSa |
Título | Stabilization of sentinel-1 sar time-series using climate and forest structure data for early tropical deforestation detection |
Ano | 2020 |
Mês | Aug. |
Data de Acesso | 31 out. 2024 |
Tipo de Trabalho | conference paper |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 1164 KiB |
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2. Contextualização | |
Autor | 1 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 Curriculo | 1 2 3 8JMKD3MGP5W/3C9JJCQ 4 8JMKD3MGP5W/3C9JJ8N |
Grupo | 1 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 |
Afiliação | 1 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 Autor | 1 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 |
Revista | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Volume | 5 |
Número | 3 |
Páginas | 89-96 |
Histórico (UTC) | 2020-09-14 11:48:59 :: simone -> administrator :: 2022-01-04 01:35:23 :: administrator -> simone :: 2020 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Remote Sensing Time-series Data SAR Modelling Deforestation Detection Change Detection |
Resumo | In 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). |
Área | SRE |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
Idioma | en |
Arquivo Alvo | doblas_stabilization.pdf |
Grupo de Usuários | simone |
Visibilidade | shown |
Política de Arquivamento | denypublisher denyfinaldraft24 |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S |
Divulgação | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. |
Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 |
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6. Notas | |
Notas | 2020 24th ISPRS Congress on Technical Commission III; Nice, Virtual; France; 31 August 2020 through 2 September 2020; |
Campos Vazios | alternatejournal 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 |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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