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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/3S4RE9H
Repositóriosid.inpe.br/mtc-m21c/2018/10.26.11.40   (acesso restrito)
Última Atualização2018:10.26.11.40.20 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/10.26.11.40.20
Última Atualização dos Metadados2024:04.05.23.31.11 (UTC) administrator
DOI10.1016/j.isprsjprs.2018.09.013
ISSN0924-2716
Chave de CitaçãoWagnerPSHZGPSSA:2018:InTrCr
TítuloIndividual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images
Ano2018
MêsNov.
Data de Acesso18 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho7798 KiB
2. Contextualização
Autor 1 Wagner, Fabien Hubert
 2 Perreira, Matheus Pinheiro
 3 Sanchez Ipia, Alber Hamersson
 4 Hirye, Mayumi C. M.
 5 Zortea, Maciel
 6 Gloor, Emanuel
 7 Phillips, Oliver L.
 8 Souza Filho, Carlos Roberto de
 9 Shimabukuro, Yosio Edemir
10 Aragão, Luiz Eduardo Oliveira e Cruz de
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7
 8
 9 8JMKD3MGP5W/3C9JJCQ
Grupo 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
 2 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
 3 CST-CST-SESPG-INPE-MCTIC-GOV-BR
 4 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
 5
 6
 7
 8
 9 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
10 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 IBM Research Brazil
 6 University of Leeds
 7 University of Leeds
 8 Universidade Estadual de Campinas (UNICAMP)
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor 1
 2
 3 alber.ipia@inpe.br
 4 mayumi.hirye@inpe.br
 5
 6
 7
 8
 9 yosio.shimabukuro@inpe.br
10 luiz.aragao@inpe.br
RevistaISPRS Journal of Photogrammetry and Remote Sensing
Volume145
Númeropt B
Páginas362-377
Nota SecundáriaA1_GEOCIÊNCIAS A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS B1_ENGENHARIAS_IV B1_BIODIVERSIDADE C_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2018-10-26 11:40:20 :: simone -> administrator ::
2018-10-26 11:40:21 :: administrator -> simone :: 2018
2018-10-26 11:41:15 :: simone -> administrator :: 2018
2024-04-05 23:31:11 :: administrator -> simone :: 2018
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-ChaveImage segmentation
Multispectral image
Tropical forests
Species identification
Rolling ball algorithm
Mathematical morphology
ResumoMapping tropical tree species at landscape scales to provide information for ecologists and forest managers is a new challenge for the remote sensing community. For this purpose, detection and delineation of individual tree crowns (ITCs) is a prerequisite. Here, we present a new method of automatic tree crown delineation based only on very high resolution images from WorldView-2 satellite and apply it to a region of the Atlantic rain forest with highly heterogeneous tropical canopy cover the Santa Genebra forest reserve in Brazil. The method works in successive steps that involve pre-processing, selection of forested pixels, enhancement of borders, detection of pixels in the crown borders, correction of shade in large trees and, finally, segmentation of the tree crowns. Principally, the method uses four techniques: rolling ball algorithm and mathematical morphological operations to enhance the crown borders and ease the extraction of tree crowns; bimodal distribution parameters estimations to identify the shaded pixels in the gaps, borders, and crowns; and focal statistics for the analysis of neighbouring pixels. Crown detection is validated by comparing the delineated ITCs with a sample of ITCs delineated manually by visual interpretation. In addition, to test if the spectra of individual species are conserved in the automatic delineated crowns, we compare the accuracy of species prediction with automatic and manual delineated crowns with known species. We find that our method permits detection of up to 80% of ITCs. The seven species with over 10 crowns identified in the field were mapped with reasonable accuracy (30.596%) given that only WorldView-2 bands and texture features were used. Similar classification accuracies were obtained using both automatic and manual delineation, thereby confirming that species spectral responses are preserved in the automatic method and thus permitting the recognition of species at the landscape scale. Our method might support tropical forest applications, such as mapping species and canopy characteristics at the landscape scale.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Individual tree crown...
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Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvowagner_individual.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
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
8JMKD3MGPCW/449U4PL
8JMKD3MGPCW/4AUUH9L
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.13.21.11 4
sid.inpe.br/bibdigital/2021/03.06.05.18 3
sid.inpe.br/bibdigital/2013/10.18.22.34 1
DivulgaçãoWEBSCI; PORTALCAPES; 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 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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