Dear Colleagues,

We are calling for papers for a Special Issue on “Integrating Remote Sensing and GIS in Environmental Health Assessments”. Remote sensing and GIS applications in environmental health and health impact assessments have been around for many decades, such as for using satellite data to monitor the timing and spread of cholera, identifying high-risk areas of malaria and schistosomiasis, evaluating the health impacts from air pollution, estimating urban heat island health effects, and so on. With the increasing intensity of human activities and the complex threats from climate change, existing and emerging threats to human health due to environmental factors are on the rise. Meanwhile, recent advances in remote sensing and GIS technology, including improved satellites and other remote sensing devices and new algorithms such as GeoAI, propel the development of better detection, assessment, monitoring, and prediction models. It will be most fitting to devote this Special Issue to demonstrate the current state of knowledge and cutting-edge methods for environmental health assessments using integrated remote sensing and GIS technologies. This Special Issue will help identify the new challenges that we are facing and will face in the future, as well as inform policies to reduce health risks and impacts.

This forthcoming Special Issue invites manuscripts that examine a broad range of topics on environmental health and health risk assessments using integrating remote sensing and GIS technologies. Potential topics include, but are not limited to, the following:

• State-of-the-art technologies and applications in health impact assessments using integrated remote sensing and GIS methods;
• Detection, assessment, and prediction of existing and emerging diseases;
• Land use and land cover change and their effects on environmental health;
• Effects of air and water pollution and human activities, such as industrial facilities and deforestation, on environmental health;
• Effects of natural disasters such as flooding, drought, and wildfires on environmental health;
• Environmental justice and environmental health;
• Health resilience under climate change;
• Scale effects on modeling and prediction;
• Integrating human mobility and use of wearable smart sensors for human health risk assessments;
• Urban infrastructure, urban design, green space, urban heat islands, and health impact assessments;
• Applications of artificial intelligence in environmental health assessments;
• Use of nonconventional detection devices such as drones, Google Street images, GPS sensors, and social sensors to identify human exposure;
• Mitigation and adaptation strategies derived from modeling and geo-simulation.

Prof. Dr. Nina Lam
Dr. Heng Cai
Dr. Kenan Li
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.

• environmental health risk assessment
• land use/land cover change
• health vulnerability, resilience, and sustainability
• spatial modeling and simulation
• spatial data fusion
• human dynamic sensor technology
• remote sensing image processing