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Remote Sensing Role in Emergencies Seen from the Sky

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 (15 December 2023) | Viewed by 434

Special Issue Editors


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Guest Editor
Department of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, I-00184 Rome, Italy
Interests: drones; GPS/GNSS; geomatic; geodesy; photogrammetry; survey; remote sensing; GIS; post seismic survey
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
European Union's SatCen, Madrid, Spain
Interests: photogrammetry; survey; remote sensing; GIS; post seismic survey

Special Issue Information

Dear Colleagues,

The recent emergencies, such as the pandemic, war events, droughts resulting from heat waves, and, more in general, the effects of the climate change, have forced many governments during these years to study, design, and develop recovery and prevention measures.

The experimented emergencies, including the effects of the climate change, have mixed and heavy impacts on the environment, population, and economic activities affecting large agglomerations, but also open countryside, mountain peaks, sea, and oceans, as well as the arctic regions.

It is important to study how social, economic, climate, and environmental factors are changing and how they continue to vary across different geographical areas, also considering the measures of confrontation applied and planned.

The goal is to provide the decision-makers with the keys to understand these crises and their impact, the most suitable way to recover from and prevent them and, if possible, focusing on the development of monitoring and forecast models/indices from remote sensed data in support of the ground measurement and observations.

The science of remote sensing allows us to detect, measure, and model changes and events that occur on Earth’s surface and in the atmosphere. There are satellites that by optical depth can measure the concentrations of NO2, CO, and aerosols in the atmosphere (e.g., the OMI instrument on the Aura platform, the AIRS and MODIS instruments on the Aqua platform, or the recent Sentinel-5P). In addition, there are satellites that have an infrared thermal band that can be used to estimate and study the change of the Land Surface Temperature (LST) before, during, and after the lockdown periods (e.g., Sentinel-3A/SLSTR, MODIS/MOD11A1 with daily measurement, MODIS/MOD11A2 with 8-day measurement, or Landsat 8, 7, 5 Level-2 Surface Reflectance). Today, the download of atmospheric data from Sentinel-5P is now available from the Google Earth Engine application. This revolutionary application is a new way to filter, obtain, and pre-process air pollution data or calculate LST applying to specific geographical areas. The purpose of the study of this relationship between LST and air pollutants is to demonstrate whether there is a significant and reliable relationship between the reduction of heat islands in urban areas and the reduction of atmospheric pollution. This, as an example, may explain whether there is a direct relationship between LST and anthropic activities during periods with anti-COVID-19 measures or other emergencies. [RO1]

On the other hand, in this Special Issue, we expect modelling with Landsat data of areas that show a statistically significant differences between before and during crisis events, as well as a study of the impact of climate change in specific areas and population.

We would like to invite you to contribute papers that study these topics of correlation between, for example, LST and air pollution, the impact of climate change and the complex crises of population and territory, such as, for example, droughts, forest fires, ice melting, floods, and other manmade and natural risks, and their consequences affecting stability and economic aspects.

We hope to receive papers that test and analyse different geospatial methods and methodologies, including big data analytics, space-time modelling and simulation, environmental modelling, data visualisation, hot-spot analysis, change detection, both with the help of open source and non-open source software. Articles studying other indices that can be calculated from spectral bands in relation to crisis events are also welcome.

Prof. Dr. Valerio Baiocchi
Dr. Roberta Onori
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

  • COVID-19
  • LST
  • air pollutants
  • environment
  • climate
  • heat islands
  • lockdown periods
  • change detection
  • hot-spot analysis
  • seismic events
  • emergencies

Published Papers

There is no accepted submissions to this special issue at this moment.
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