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Proceedings Paper

Cardiovascular and respiratory diseases surveillance around Shanghai Chemical Industry Park based on remote sensing
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Paper Abstract

Air pollutants can cause serious effects on human health, especially fine particles in air, which can easily cause respiratory diseases, such as asthma and bronchitis, and also increase the probability of lung cancer and heart disease. The disease surveillance of the residents around the chemical plant is an effective means to understand the effects of the discharged pollutant on the health of the surrounding residents. The research area, Shanghai Chemical Industry Park is located at the junction of Jinshan and Fengxian, as the South Center of the six industrial bases of Shanghai. Applying the spatial distribution of population obtained from the extraction of residential land by using GF-2 data, and the disease data after cleaning treatment, can reach to the spatial distribution of the above two diseases. Through the integration of spatial characteristics and attribute characteristics, the disease surveillance of the surrounding residents can be realized, which directly reflects the impact of chemical industry on the health of the surrounding residents.

Paper Details

Date Published: 18 September 2018
PDF: 11 pages
Proc. SPIE 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV, 1076710 (18 September 2018); doi: 10.1117/12.2318931
Show Author Affiliations
Jiayuan Zhou, East China Normal Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
Chunying Guo, East China Normal Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
Yunyun Zhou, East China Normal Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
Deying Zhang, East China Normal Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
Runhe Shi, East China Normal Univ. (China)
Institute of Remote Sensing and Digital Earth (China)
Maosi Chen, Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 10767:
Remote Sensing and Modeling of Ecosystems for Sustainability XV
Wei Gao; Ni-Bin Chang; Jinnian Wang, Editor(s)

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