elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Situational Awareness of Large Infrastructures Using Remote Sensing: The Rome-Fiumicino Airport during the COVID-19 Lockdown

Pulella, Andrea and Sica, Francescopaolo (2021) Situational Awareness of Large Infrastructures Using Remote Sensing: The Rome-Fiumicino Airport during the COVID-19 Lockdown. Remote Sensing, 13 (2), p. 299. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs13020299. ISSN 2072-4292.

[img] PDF - Published version
8MB

Official URL: https://www.mdpi.com/2072-4292/13/2/299

Abstract

Situational awareness refers to the process of aggregating spatio-temporal variables and measurements from different sources, aiming to improve the semantic outcome. Remote Sensing satellites for Earth Observation acquire key variables that, when properly aggregated, can provide precious insights about the observed area. This article introduces a novel automatic system to monitor the activity levels and the operability of large infrastructures from satellite data. We integrate multiple data sources acquired by different spaceborne sensors, such as Sentinel-1 Synthetic Aperture Radar (SAR) time series, Sentinel-2 multispectral data, and Pleiades Very-High-Resolution (VHR) optical data. The proposed methodology exploits the synergy between these sensors for extracting, at the same time, quantitative and qualitative results. We focus on generating semantic results, providing situational awareness, and decision-ready insights. We developed this methodology for the COVID-19 Custom Script Contest, a remote hackathon funded by the European Space Agency (ESA) and the European Commission (EC), whose aim was to promote remote sensing techniques to monitor environmental factors consecutive to the spread of the Coronavirus disease. This work focuses on the Rome–Fiumicino International Airport case study, an environment significantly affected by the COVID-19 crisis. The resulting product is a unique description of the airport’s area utilization before and after the air traffic restrictions imposed between March and May 2020, during Italy’s first lockdown. Experimental results confirm that the proposed algorithm provides remarkable insights for supporting an effective decision-making process. We provide results about the airport’s operability by retrieving temporal changes at high spatial and temporal resolutions, together with the airplane count and localization for the same period in 2019 and 2020. On the one hand, we detected an evident change of the activity levels on those airport areas typically designated for passenger transportation, e.g., the one close to the gates. On the other hand, we observed an intensification of the activity levels over areas usually assigned to landside operations, e.g., the one close to the hangar. Analogously, the airplane count and localization have shown a redistribution of the airplanes over the whole airport. New parking slots have been identified as well as the areas that have been dismissed. Eventually, by combining the results from different sensors, we could affirm that different airport surface areas have changed their functionality and give a non-expert interpretation about areas’ usage.

Item URL in elib:https://elib.dlr.de/141534/
Document Type:Article
Title:Situational Awareness of Large Infrastructures Using Remote Sensing: The Rome-Fiumicino Airport during the COVID-19 Lockdown
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Pulella, AndreaAndrea.Pulella (at) dlr.dehttps://orcid.org/0000-0001-6295-617X
Sica, FrancescopaoloFrancescopaolo.Sica (at) dlr.dehttps://orcid.org/0000-0003-1593-1492
Date:16 January 2021
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI :10.3390/rs13020299
Page Range:p. 299
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:MDPI Remote Sensing Data Interpretation and Validation
ISSN:2072-4292
Status:Published
Keywords:situational awareness; COVID-19; activity monitoring; Synthetic Aperture Radar; Sentinel-1; Sentinel-2; copernicus; pleiades.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Projekt TanDEM-X (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Pulella, M.Eng. Andrea
Deposited On:26 Mar 2021 16:13
Last Modified:26 Mar 2021 16:13

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.