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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3LQAFEL
Repositorysid.inpe.br/mtc-m21b/2016/06.01.15.30   (restricted access)
Last Update2016:06.01.15.31.36 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21b/2016/06.01.15.30.51
Metadata Last Update2018:06.04.02.40.48 (UTC) administrator
DOI10.1080/01431161.2015.1121301
ISSN0143-1161
Citation KeyTomásFonAlmLeoPer:2016:UrPoEs
TitleUrban population estimation based on residential buildings volume using IKONOS-2 images and lidar data
Year2016
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size4239 KiB
2. Context
Author1 Tomás, Livia
2 Fonseca, Leila Maria Garcia
3 Almeida, Cláudia Maria de
4 Leonardi, Fernando
5 Pereira, Madalena
Resume Identifier1
2 8JMKD3MGP5W/3C9JHLD
3 8JMKD3MGP5W/3C9JGS3
Group1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 OBT-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
4
5 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Geopixel Geotechnologies Consulting and Service Ltd, São José dos Campos, Brazil
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 liviatomas@gmail.com
2 leila.fonseca@inpe.br
3 claudia.almeida@inpe.br
JournalInternational Journal of Remote Sensing
Volume37
NumberS1
Pages1-28
Secondary MarkA1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_INTERDISCIPLINAR A2_GEOGRAFIA A2_ENGENHARIAS_IV A2_ENGENHARIAS_III A2_ENGENHARIAS_I A2_CIÊNCIAS_AMBIENTAIS A2_CIÊNCIA_DA_COMPUTAÇÃO B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_GEOCIÊNCIAS B1_ENGENHARIAS_II B1_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B2_SAÚDE_COLETIVA B2_ODONTOLOGIA B3_CIÊNCIAS_BIOLÓGICAS_I B3_BIOTECNOLOGIA B5_ASTRONOMIA_/_FÍSICA
History (UTC)2016-06-01 15:30:51 :: simone -> administrator ::
2016-06-01 15:30:51 :: administrator -> simone :: 2016
2016-06-01 15:31:36 :: simone -> administrator :: 2016
2016-07-04 12:30:01 :: administrator -> simone :: 2016
2016-10-11 19:12:57 :: simone -> administrator :: 2016
2018-06-04 02:40:48 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsBuildings
Housing
Optical radar
Tall buildings
Accuracy assessment
Digital surface models
Federal governments
High rise residential building
Hypothesis tests
Methodological approach
Residential building
Urban population
Population statistics
accuracy assessment
elevation
IKONOS
lidar
model validation
population estimation
residential location
satellite data
satellite imagery
urban population
AbstractThis paper presents a methodological approach to estimation of urban population using the volume of single houses and high-rise residential buildings obtained from an IKONOS-2 ortho-image and light detection and raging (lidar) data. The estimates are directly executed at the finest scale level (i.e. the housing unit) and are then aggregated at the census district level for further validation with the aid of official data supplied by the local and federal governments. Unlike prior works, this study executes a thorough assessment of horizontal and elevation accuracy for the IKONOS-2 and lidar data used in the experiment. The methodological stages are threefold: the construction of a 3D city model, the accuracy assessment of the ortho-image and digital surface models (DSMs), and the quantification of urban population. The validation was accomplished by means of linear regression and associated hypothesis tests, considering the estimated population and the reference data. The results showed that there was a systematic underestimation of population. On average, the conducted estimates assessed 31 fewer inhabitants per district and lie 1.35% below the expected values given by the reference data. In spite of the observed underestimation, the estimated population can be regarded as equivalent to the population provided by the reference data at a 1% level of significance.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Urban population estimation...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Urban population estimation...
Arrangement 3urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Urban population estimation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target Filetomas_urban.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3EU2H28
8JMKD3MGPCW/3F3NU5S
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 3
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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