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The natural environment and birth outcomes: Comparting 3D exposure metrics derived from LiDAR to 2D metrics based on the normalized difference vegetation indexAuthor(s): Geoffrey H. Donovan; Demetrios Gatziolis; Kristen Jakstis; Saskia Comess
Source: Health & Place. 57: 305-312.
Publication Series: Scientific Journal (JRNL)
Station: Pacific Northwest Research Station
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DescriptionMost studies of the health benefits of the natural environment use coarse 2D exposure metrics based on the normalized difference vegetation index (NDVI). We compare the performance of these 2D NDVI metrics to finer-resolution 3D metrics derived from Light Detection and Ranging imagery (LiDAR). In logit models of small-for-gestational-age births, both NDVI and LiDAR metrics were associated with a reduced probability of an adverse birth outcome. However, models using LiDAR metrics had higher explanatory power than equivalent NDVI models, and LiDAR models also revealed that vegetation height (as well as variation in vegetation height) were protective of small-for-gestational age births.
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CitationDonovan, Geoffrey H.; Gatziolis, Demetrios; Jakstis, Kristen; Comess, Saskia. 2019. The natural environment and birth outcomes: Comparting 3D exposure metrics derived from LiDAR to 2D metrics based on the normalized difference vegetation index. Health & Place. 57: 305-312. https://doi.org/10.1016/j.healthplace.2019.05.011.
KeywordsNDVI, natural environment, remote sensing, birth outcomes.
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