1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21b.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34P/3LQAFEL |
Repository | sid.inpe.br/mtc-m21b/2016/06.01.15.30 (restricted access) |
Last Update | 2016:06.01.15.31.36 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21b/2016/06.01.15.30.51 |
Metadata Last Update | 2018:06.04.02.40.48 (UTC) administrator |
DOI | 10.1080/01431161.2015.1121301 |
ISSN | 0143-1161 |
Citation Key | TomásFonAlmLeoPer:2016:UrPoEs |
Title | Urban population estimation based on residential buildings volume using IKONOS-2 images and lidar data |
Year | 2016 |
Access Date | 2024, May 18 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 4239 KiB |
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2. Context | |
Author | 1 Tomás, Livia 2 Fonseca, Leila Maria Garcia 3 Almeida, Cláudia Maria de 4 Leonardi, Fernando 5 Pereira, Madalena |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHLD 3 8JMKD3MGP5W/3C9JGS3 |
Group | 1 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 |
Affiliation | 1 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 Address | 1 liviatomas@gmail.com 2 leila.fonseca@inpe.br 3 claudia.almeida@inpe.br |
Journal | International Journal of Remote Sensing |
Volume | 37 |
Number | S1 |
Pages | 1-28 |
Secondary Mark | A1_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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Buildings 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 |
Abstract | This 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. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Urban population estimation... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Urban population estimation... |
Arrangement 3 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Urban population estimation... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | tomas_urban.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft12 |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | urlib.net/www/2011/03.29.20.55 |
Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3EU2H28 8JMKD3MGPCW/3F3NU5S |
Citing Item List | sid.inpe.br/bibdigital/2013/10.18.22.34 3 |
Dissemination | WEBSCI; PORTALCAPES; COMPENDEX; SCOPUS. |
Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
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6. Notes | |
Empty Fields | alternatejournal 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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7. Description control | |
e-Mail (login) | simone |
update | |
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