2023
DOI: 10.1016/j.ufug.2023.127972
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The uncertain geographic context problem (UGCoP) in measuring people’s exposure to green space using the integrated 3S approach

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Cited by 14 publications
(10 citation statements)
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“…Note that the spatial resolutions of green space inventory and nightscape are different. However, our previous methodological studies have confirmed that these data effectively derive causally relevant exposures to model people's health outcomes [ 25 , 35 ].…”
Section: Data Collectionmentioning
confidence: 90%
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“…Note that the spatial resolutions of green space inventory and nightscape are different. However, our previous methodological studies have confirmed that these data effectively derive causally relevant exposures to model people's health outcomes [ 25 , 35 ].…”
Section: Data Collectionmentioning
confidence: 90%
“…Original images were orthorectified and georeferenced to the UTM Zone 49 N coordinate system with reference to the WGS84 ellipsoid. After rigorous radiometric calibration and atmospheric correction, a binary classification method was employed to identify green and non-green spaces [ 25 ]. The classification used the normalized difference vegetation index (NDVI) and thresholding to separate green and non-green space on the pixel level.…”
Section: Data Collectionmentioning
confidence: 99%
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