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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/4327STB
Repositóriosid.inpe.br/mtc-m21c/2020/08.04.11.48
Última Atualização2020:08.04.11.48.07 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/08.04.11.48.07
Última Atualização dos Metadados2022:01.04.01.35.17 (UTC) administrator
DOI10.3390/rs12142225
ISSN2072-4292
Chave de CitaçãoWagnerDaCaStPhGlAr:2020:ReMaSp
TítuloRegional mapping and spatial distribution analysis of Canopy palms in an Amazon forest using deep learning and VHR images
Ano2020
MêsJuly
Data de Acesso27 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho8332 KiB
2. Contextualização
Autor1 Wagner, Fabien Hubert
2 Dalagnol da Silva, Ricardo
3 Casapia, Ximena Tagle
4 Streher, Annia Susin
5 Phillips, Oliver L.
6 Gloor, Emanuel
7 Aragão, Luiz Eduardo Oliveira e Cruz de
ORCID1 0000-0002-9623-1182
2 0000-0002-7151-8697
3 0000-0003-4152-2051
4
5 0000-0002-8993-6168
6
7 0000-0002-4134-6708
Grupo1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3
4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
5
6
7 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto de Investigaciones de la Amazonía Peruana (IIAP)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 University of Leeds
6 University of Leeds
7 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 wagner.h.fabien@gmail.com
2 ricardo.silva@inpe.br
3 mariaximena.taglecasapia@wur.nl
4 annia.streher@inpe.br
5 o.phillips@leeds.ac.uk
6 e.gloor@leeds.ac.uk
7 luiz.aragao@inpe.br
RevistaRemote Sensing
Volume12
Número14
Páginase2225
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2020-08-04 11:48:07 :: simone -> administrator ::
2020-08-04 11:48:08 :: administrator -> simone :: 2020
2020-08-04 11:50:22 :: simone -> administrator :: 2020
2020-08-04 19:14:25 :: administrator -> simone :: 2020
2020-12-14 14:17:47 :: simone -> administrator :: 2020
2022-01-04 01:35:17 :: 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-ChaveU-net
Semantic segmentation
deep learning
species distribution
very high resolution images
ResumoMapping plant species at the regional scale to provide information for ecologists and forest managers is a challenge for the remote sensing community. Here, we use a deep learning algorithm called U-net and very high-resolution multispectral images (0.5 m) from GeoEye satellite to identify, segment and map canopy palms over ∼3000 km2 of Amazonian forest. The map was used to analyse the spatial distribution of canopy palm trees and its relation to human disturbance and edaphic conditions. The overall accuracy of the map was 95.5% and the F1-score was 0.7. Canopy palm trees covered 6.4% of the forest canopy and were distributed in more than two million patches that can represent one or more individuals. The density of canopy palms is affected by human disturbance. The post-disturbance density in secondary forests seems to be related to the type of disturbance, being higher in abandoned pasture areas and lower in forests that have been cut once and abandoned. Additionally, analysis of palm trees distribution shows that their abundance is controlled naturally by local soil water content, avoiding both flooded and waterlogged areas near rivers and dry areas on the top of the hills. They show two preferential habitats, in the low elevation above the large rivers, and in the slope directly below the hill tops. Overall, their distribution over the region indicates a relatively pristine landscape, albeit within a forest that is critically endangered because of its location between two deforestation fronts and because of illegal cutting. New tree species distribution data, such as the map of all adult canopy palms produced in this work, are urgently needed to support Amazon species inventory and to understand their distribution and diversity.
ÁreaSRE
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/4327STB
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/4327STB
Idiomaen
Arquivo AlvoWagner_remotesensing-12-02225-v2.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.13.21.11 2
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 parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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