Remote Sensing in Support of Crisis Management: How Space-Based Information Can Support Operations and the Decision-Making Process
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation for Emergency Management".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 234
Special Issue Editors
Interests: drones; GPS/GNSS; geomatic; geodesy; photogrammetry; survey; remote sensing; GIS; post seismic survey
Special Issues, Collections and Topics in MDPI journals
Interests: photogrammetry; survey; remote sensing; GIS; post seismic survey
Special Issues, Collections and Topics in MDPI journals
Interests: underwater photogrammetry; quality assessment; system calibration; 3D surveying and mapping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent emergencies, such as pandemics, wars, and droughts resulting from heat waves, and, more in general, the effects of the climate change, have forced many governments over the years to study, design, and develop recovery and prevention measures. These critical events have mixed and heavy impacts on the environment, population, and economic activities, affecting urban geographical areas but also open countryside, mountain peak, sea, and ocean environments, as well as the arctic regions.
Studying how social, economic, climate, and environmental factors are affected and how they may vary across different geographical areas is crucial, also in the view of implemented and planned counter measures. Decision-makers require tools to understand these crises and their impact and to identify the most suitable way to recover from and prevent them. Remote sensing can provide valuable support, enabling the development of monitoring and forecast models/indices in support of ground measurements and observations.
Remote sensing allows us to detect, measure, and model changes and events that occur on the Earth’s surface and in the atmosphere.
We would like to invite you to contribute papers focusing on the impact of climate change and critical events such as droughts, forest fires, ice melting, floods, Land Surface Temperature (LST), air pollution, and other manmade and natural risks and their consequences affecting stability and economic aspects.
We encourage the submission of papers which test and analyze different geospatial methods and methodologies, including big data analytics, space-time modelling and simulation, environmental modelling, data visualization, hot-spot analysis, and change detection, both with the help of open source and non-open source software.
Dr. Valerio Baiocchi
Dr. Roberta Onori
Dr. Erica Nocerino
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
- LST
- air pollutants
- environment
- climate
- heat islands
- lockdown periods
- change detection
- hot-spot analysis
- seismic events
- emergencies
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