Associations of green space metrics with health and behavior outcomes at different buffer sizes and remote sensing sensor resolutions. (May 2019)

• Record Type: Journal Article
• Authors: Su, Jason G.; Dadvand, Payam; Nieuwenhuijsen, Mark J.; Bartoll, Xavier; Jerrett, Michael
• Is Part Of: Environment international. Volume 126(2019)
• Page Start: 162
• Page End: 170
• Publication Date: 2019-05
• Subjects: NDVI normalized difference vegetation index -- TOA Top of Atmosphere -- MAUP Modifiable Area Unit Problem -- USGS United States Geological Survey -- BMI body mass index -- GHQ General Health Questionnaire -- IPAQ International Physical Activity Questionnaire -- SES socioeconomic status; Normalized difference vegetation index -- WorldView2 -- RapidEye -- LandSat -- Spatial resolution -- Buffer distance -- Health outcomes -- Barcelona; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2019.02.008
• Languages: English
• ISSNs: 0160-4120

Abstract

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. Highlights: Coarser spatial resolution in Landsat data tended to over-estimate green cover Higher vegetation index was associated with better perceived health, better mental health and greater physical activity Satellite sensor spatial resolution did not impact identified associations between green space metrics and health outcomes Green space metrics from larger buffer sizes showed stronger associations with health outcomes