Spatial Calculation and Remote Sensing Diagnosis for Environmental Health
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (31 January 2025) | Viewed by 452
Special Issue Editors
Interests: public health research based on spatial information technology
Special Issues, Collections and Topics in MDPI journals
Interests: spatiotemporal big data analysis; GeoAI; remote sensing AI; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: GIS; spatial statistics; spatial data mining; human mobility; geographic flow
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Environmental health directly affects people’s quality of life and is closely related to human physical health. Environmental problems such as air pollution, water source pollution, and soil pollution exacerbate the incidence of various diseases, including respiratory diseases and natural source diseases. Spatial calculation is a major area of research in big data and artificial intelligence (AI). Through virtual modeling of real scenes, spatial calculation constructs spatial perception networks and knowledge graphs of the host environment, exposure methods, propagation relationships, spatio-temporal paths, and other propagation chains, making it a powerful tool for precise spatial prevention and control of major environmental health events. Remote sensing can provide a comprehensive understanding of the environmental risks that life may face, effectively monitoring and diagnosing risk factors that affect health in the environment.
This Special Issue aims at the significant demand for environmental health monitoring and early warning, breaking through the natural habitat identification and human factor extraction technologies of satellite remote sensing and spatio-temporal big data analysis, and developing the theory and methods of disease transmission spatial calculation and risk early warning. Topics may cover anything from the diagnosis of environmental health by remote sensing, disease transmission spatial calculation and risk early warning, spatiotemporal big data analysis of geographic flow, and so on. Articles may address, but are not limited to, the following topics:
- Diagnosis of environmental health by remote sensing;
- Air, water, and soil pollution monitoring based on remote sensing;
- Spatial calculation for public health;
- Dynamic simulation of disease transmission;
- Spatiotemporal big data analysis of geographic flow;
- Disease multi temporal and spatial scale risk warning.
Dr. Min Xu
Prof. Dr. Shaohua Wang
Dr. Ran Tao
Prof. Dr. Chunxiang Cao
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- environmental health
- spatial calculation
- diagnosis by remote sensing
- dynamic simulation
- spatiotemporal big data analysis
- geographic flow
- disease transmission
- risk warning
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