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Remote Sensing, Crowd Sensing, and Geospatial Technologies for Public Health: An Editorial

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  • Jamal Jokar Arsanjani

    (Geoinformatics Research Group, Department of Planning, Aalborg University Copenhagen, A.C. Meyers Vænge 15, DK-2450 Copenhagen, Denmark)

Abstract

Remote sensing, as well as the recent advancements of crowd sensing, along with novel and recent geospatial technologies, have great potential to explore and understand the relationships between our surroundings—in particular our urban and rural environments and natural spaces—and public health through environmental factors [1,2].[...]

Suggested Citation

  • Jamal Jokar Arsanjani, 2017. "Remote Sensing, Crowd Sensing, and Geospatial Technologies for Public Health: An Editorial," IJERPH, MDPI, vol. 14(4), pages 1-3, April.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:4:p:405-:d:95551
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    References listed on IDEAS

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    1. Junxiao Wang & Xiaorui Wang & Shenglu Zhou & Shaohua Wu & Yan Zhu & Chunfeng Lu, 2016. "Optimization of Sample Points for Monitoring Arable Land Quality by Simulated Annealing while Considering Spatial Variations," IJERPH, MDPI, vol. 13(10), pages 1-12, September.
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    7. Tianhao Zhang & Gang Liu & Zhongmin Zhu & Wei Gong & Yuxi Ji & Yusi Huang, 2016. "Real-Time Estimation of Satellite-Derived PM 2.5 Based on a Semi-Physical Geographically Weighted Regression Model," IJERPH, MDPI, vol. 13(10), pages 1-13, September.
    8. Chunyuan Sun & Wenji Zhao & Qianzhong Zhang & Xue Yu & Xiaoxia Zheng & Jiayin Zhao & Ming Lv, 2016. "Spatial Distribution, Sources Apportionment and Health Risk of Metals in Topsoil in Beijing, China," IJERPH, MDPI, vol. 13(7), pages 1-14, July.
    9. Sean G. Young & Margaret Carrel & George P. Malanson & Mohamed A. Ali & Ghazi Kayali, 2016. "Predicting Avian Influenza Co-Infection with H5N1 and H9N2 in Northern Egypt," IJERPH, MDPI, vol. 13(9), pages 1-17, September.
    10. Liang Wu & Fei Deng & Zhong Xie & Sheng Hu & Shu Shen & Junming Shi & Dan Liu, 2016. "Spatial Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in China Using a Geographically Weighted Logistic Regression Model," IJERPH, MDPI, vol. 13(11), pages 1-16, November.
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    1. Jason A. Hubbart & Hodjat Ghadimi, 2023. "Regional Wealth Data Acquisition and Modeling: Innovations Needed for Advancement in Sustainable Wealth in Energy-Rich Regions," Challenges, MDPI, vol. 14(4), pages 1-17, December.

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