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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3S4RE9H
Repositorysid.inpe.br/mtc-m21c/2018/10.26.11.40   (restricted access)
Last Update2018:10.26.11.40.20 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2018/10.26.11.40.20
Metadata Last Update2024:04.05.23.31.11 (UTC) administrator
DOI10.1016/j.isprsjprs.2018.09.013
ISSN0924-2716
Citation KeyWagnerPSHZGPSSA:2018:InTrCr
TitleIndividual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images
Year2018
MonthNov.
Access Date2024, Apr. 24
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size7798 KiB
2. Context
Author 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
Resume Identifier 1
 2
 3
 4
 5
 6
 7
 8
 9 8JMKD3MGP5W/3C9JJCQ
Group 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
Affiliation 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)
Author e-Mail Address 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
JournalISPRS Journal of Photogrammetry and Remote Sensing
Volume145
Numberpt B
Pages362-377
Secondary MarkA1_GEOCIÊNCIAS A2_INTERDISCIPLINAR A2_CIÊNCIAS_AMBIENTAIS B1_ENGENHARIAS_IV B1_BIODIVERSIDADE C_CIÊNCIAS_AGRÁRIAS_I
History (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. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsImage segmentation
Multispectral image
Tropical forests
Species identification
Rolling ball algorithm
Mathematical morphology
AbstractMapping 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.
AreaSRE
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agreement Directory Content
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4. Conditions of access and use
Languageen
Target Filewagner_individual.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/449U4PL
8JMKD3MGPCW/4AUUH9L
Citing Item Listsid.inpe.br/bibdigital/2021/03.06.05.18 1
sid.inpe.br/bibdigital/2013/09.13.21.11 1
sid.inpe.br/mtc-m21/2012/07.13.15.02.10 1
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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