Associations of green space metrics with health and behavior outcomes at different buffer sizes and remote sensing sensor resolutions
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- dc.contributor.author Su, Jason
- dc.contributor.author Dadvand, Payam
- dc.contributor.author Nieuwenhuijsen, Mark J.
- dc.contributor.author Bartoll, Xavier
- dc.contributor.author Jerrett, Michael
- dc.date.accessioned 2020-01-21T09:32:53Z
- dc.date.available 2020-01-21T09:32:53Z
- dc.date.issued 2019
- dc.description.abstract Satellite data is increasingly used to characterize green space for health outcome studies. Literature suggests that green space within 500 m of home is often used to represent neighborhood suitable for walking, air pollution and noise reduction, and natural healing. In this paper, we used satellite data of different spatial resolutions to derive normalized difference vegetation index (NDVI), an indicator of surface greenness, at buffer distances of 50, 100, 250 and 500 m. Data included those of 2 m spatial resolution from WorldView2, 5 m resolution from RapidEye and 30 m resolution from Landsat. We found that, after radiometric calibrations, the RapidEye and WorldView2 sensors had similar NDVI values, while Landsat imagery tended to have greater NDVI; however, these sensors showed similar vegetation distribution: locations high in vegetation cover being high in NDVI, and vice versa. We linked the green space estimates to a health survey, and identified that higher NDVI values were significantly associated with better health outcomes. We further investigated the impacts of buffer size and sensor spatial resolution on identified associations between NDVI and health outcomes. Overall, the identified health outcomes were similar across sensors of different spatial resolutions, but a mean trend was identified in bigger buffer size being associated with greater health outcome.
- dc.description.sponsorship We are grateful for the contribution of the Barcelona Public Health Agency to providing health outcome data for this analysis. This study was funded by the European Community's Seventh Framework Programme (Grant No. 282996) as part of the PHENOTYPE project (Positive Health Effects of the Natural Outdoor Environment in Typical Populations in Different Regions in Europe) (www.phenotype.eu).
- dc.format.mimetype application/pdf
- dc.identifier.citation Su JG, Dadvand P, Nieuwenhuijsen MJ, Bartoll X, Jerrett M. Associations of green space metrics with health and behavior outcomes at different buffer sizes and remote sensing sensor resolutions. Environ Int. 2019;126:162-70. DOI: 10.1016/j.envint.2019.02.008
- dc.identifier.doi http://dx.doi.org/10.1016/j.envint.2019.02.008
- dc.identifier.issn 0160-4120
- dc.identifier.uri http://hdl.handle.net/10230/43318
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Environment International. 2019;126:162-70
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/282996
- dc.rights © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/BY-NC-ND/4.0/
- dc.subject.keyword Barcelona
- dc.subject.keyword Buffer distance
- dc.subject.keyword Health outcomes
- dc.subject.keyword LandSat
- dc.subject.keyword Normalized difference vegetation index
- dc.subject.keyword RapidEye
- dc.subject.keyword Spatial resolution
- dc.subject.keyword WorldView2
- dc.title Associations of green space metrics with health and behavior outcomes at different buffer sizes and remote sensing sensor resolutions
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion