Associations of green space metrics with health and behavior outcomes at different buffer sizes and remote sensing sensor resolutions
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...
Main Authors: | Jason G. Su, Payam Dadvand, Mark J. Nieuwenhuijsen, Xavier Bartoll, Michael Jerrett |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2019-05-01
|
Series: | Environment International |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412018323432 |
Similar Items
-
Deep metric learning method for high resolution remote sensing image scene classification
by: YE Lihua, et al.
Published: (2019-06-01) -
Improved Metric Learning With the CNN for Very-High-Resolution Remote Sensing Image Classification
by: Cheng Shi, et al.
Published: (2021-01-01) -
Urban villages extraction from high-resolution remote sensing imagery based on landscape semantic metrics
by: ZHANG Tao, et al.
Published: (2021-01-01) -
Urban green infrastructure health assessment, based on landsat 8 remote sensing and entropy landscape metrics
by: Mu-En Chang, et al.
Published: (2021-01-01) -
WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Adverse Birth Outcomes
by: Mark J. Nieuwenhuijsen, et al.
Published: (2017-10-01)