Validating Satellite-Derived Land Surface Temperature with in Situ Measurements: A Public Health Perspective
Supporting Files
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2013/06/07
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File Language:
English
Details
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Journal Article:Environ Health Perspect
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Personal Author:
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Description: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.|We aimed to assess the correlations between LSTs and SI images with actual temperature readings from a ground-based network of outdoor monitors.|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.|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.|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 events.
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Source:Environ Health Perspect. 2013; 121(8):925-931.
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Pubmed ID:23777856
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Pubmed Central ID:PMC3734495
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Pages in Document:7 pdf apges
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Volume:121
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Issue:8
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NIOSHTIC Number:nn:20043968
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Federal Fiscal Year:2013
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Performing Organization:University of Michigan, Ann Arbor
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Peer Reviewed:True
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Main Document Checksum:urn:sha-512:5f5fb9f65c53e886524ecd8c00fe456a3cccd7920d99f93d4debd42bd914b095dc422c410e8bc299f7a08fc0eca9fb654f54b44a678001b5d0ee6acf371a3350
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File Type:
Supporting Files
File Language:
English
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