Supporting Earth Observation and Human–Environment Interaction with Global Geospatial Information
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 789
Special Issue Editors
Interests: remote sensing; GIS; urban environmental changes; public health
Special Issues, Collections and Topics in MDPI journals
Interests: space-time insights and data mining from remote sensing; big data; open data for environmental management and social sensing; environmental resilience; water and air quality mapping; groundwater; land cover and land use change
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Global geospatial information focuses on spatial information collections on a global scale. It not only supports investigations of nature phenomena and processes across the Earth surface, but also helps to monitor human–environment interactions in societies. With the blooming of advanced remote sensing technologies, such as muti-platform earth observations, artificial intelligence (AI) technologies, image fusion, and open-source big data, it is important to track how these fast-growing technologies can help to construct global geospatial information in supporting Earth observation and human–environment interaction at a global scale. Urban hazards and human health, as well as climate resilience, are crucial to human societies. This interdisciplinary research regarding global geospatial information warrants further exploration.
The Special Issue is focused on methods and applications of global geospatial information. While all relevant manuscripts are welcome, the Special Issue is especially interested in original work addressing the following topics:
- Muti-platform earth observations in supporting earth observation and/or human–environment interaction on a global scale;
- AI for global geospatial information;
- Image fusion in global earth observation and human–environment interaction;
- Open-source big data in global earth observation and/or human–environment interaction;
- Monitoring urban hazards and human health with global geospatial information;
- Anthropogenic influences on natural environments across the Earth surface;
- Climate resilience with global geospatial information;
- Climate change and global change monitoring.
Dr. Hua Liu
Dr. Hone-Jay Chu
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
- muti-platform earth observations
- AI
- big data
- remote sensing
- image fusion
- hazards
- human health
- anthropogenic influences
- climate resilience
- global change
- climate change
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