期刊
ENVIRONMENTAL HEALTH PERSPECTIVES
卷 121, 期 8, 页码 925-931出版社
US DEPT HEALTH HUMAN SCIENCES PUBLIC HEALTH SCIENCE
DOI: 10.1289/ehp.1206176
关键词
epidemiology; ground truthing; heat; Landsat satellite; land surface temperature; remote sensing; surface imperviousness; temperature; urban areas
资金
- National Occupational Research Agenda Pre-Doctoral Scholarship from the University of Michigan Center for Occupational Health and Safety Engineering
- National Institute for Occupational Safety and Health-funded Education and Research Center [2T42OH008455]
- U.S. Environmental Protection Agency Science to Achieve Results (STAR) [R832752010]
- National Institute of Environmental Health Sciences [R01ES016932]
- Centers for Disease Control and Prevention [R18EH000348]
- University of Michigan Graham Environmental Sustainability Institute
- National Institute on Aging Interdisciplinary Research Training in Health and Aging [T32AG027708]
- Kendall Science Fellowship
- Union of Concerned Scientists
- NATIONAL CENTER FOR ENVIRONMENTAL HEALTH [R18EH000348] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE FOR OCCUPATIONAL SAFETY AND HEALTH [T42OH008455] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES [P30ES017885, R01ES016932] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE ON AGING [T32AG027708] Funding Source: NIH RePORTER
BACKGROUND: Land surface temperature (LST) and percent surface imperviousness (SI), both derived from satellite imagery, have been used to characterize the urban heat island effect, a phenomenon in which urban areas are warmer than non-urban areas. OBJECTIVES: We aimed to assess the correlations between LSTs and SI images with actual temperature readings from a ground-based network of outdoor monitors. METHODS: We evaluated the relationships among a) LST calculated from a 2009 summertime satellite image of the Detroit metropolitan region, Michigan; b) SI from the 2006 National Land Cover Data Set; and c) ground-based temperature measurements monitored during the same time period at 19 residences throughout the Detroit metropolitan region. Associations between these ground-based temperatures and the average LSTs and SI at different radii around the point of the ground-based temperature measurement were evaluated at different time intervals. Spearman correlation coefficients and corresponding p-values were calculated. RESULTS: Satellite-derived LST and SI values were significantly correlated with 24-hr average and August monthly average ground temperatures at all but two of the radii examined (100 m for LST and 0 m for SI). Correlations were also significant for temperatures measured between 0400 and 0500 hours for SI, except at 0 m, but not LST. Statistically significant correlations ranging from 0.49 to 0.91 were observed between LST and SI. CONCLUSIONS: Both SI and LST could be used to better understand spatial variation in heat exposures over longer time frames but are less useful for estimating shorter-term, actual temperature exposures, which can be useful for public health preparedness during extreme heat
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