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Aerial Imagery Based on Commercial Flights as Remote Sensing Platform
Remote sensing is commonly performed via airborne platforms such as satellites, specialized aircraft, and unmanned aerial systems (UASs), which perform airborne photography using mounted cameras. However, they are limited by their coverage (UASs), irregular flyover frequency (aircraft), and/or low s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146626/ https://www.ncbi.nlm.nih.gov/pubmed/32192048 http://dx.doi.org/10.3390/s20061658 |
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author | Mastelic, Toni Lorincz, Josip Ivandic, Ivan Boban, Matea |
author_facet | Mastelic, Toni Lorincz, Josip Ivandic, Ivan Boban, Matea |
author_sort | Mastelic, Toni |
collection | PubMed |
description | Remote sensing is commonly performed via airborne platforms such as satellites, specialized aircraft, and unmanned aerial systems (UASs), which perform airborne photography using mounted cameras. However, they are limited by their coverage (UASs), irregular flyover frequency (aircraft), and/or low spatial resolution (satellites) due to their high altitude. In this paper, we examine the utilization of commercial flights as an airborne platform for remote sensing. Namely, we simulate a situation where all aircraft on commercial flights are equipped with a mounted camera used for airborne photography. The simulation is used to estimate coverage, the temporal and spatial resolution of aerial imagery acquired this way, as well as the storage capacity required for storing all imagery data. The results show that Europe is 83.28 percent covered with an average of one aerial photography every half an hour and a ground sampling distance of 0.96 meters per pixel. Capturing such imagery results in 20 million images or four petabytes of image data per day. More detailed results are given in the paper for separate countries/territories in Europe, individual commercial airlines and alliances, as well as three different cameras. |
format | Online Article Text |
id | pubmed-7146626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71466262020-04-20 Aerial Imagery Based on Commercial Flights as Remote Sensing Platform Mastelic, Toni Lorincz, Josip Ivandic, Ivan Boban, Matea Sensors (Basel) Article Remote sensing is commonly performed via airborne platforms such as satellites, specialized aircraft, and unmanned aerial systems (UASs), which perform airborne photography using mounted cameras. However, they are limited by their coverage (UASs), irregular flyover frequency (aircraft), and/or low spatial resolution (satellites) due to their high altitude. In this paper, we examine the utilization of commercial flights as an airborne platform for remote sensing. Namely, we simulate a situation where all aircraft on commercial flights are equipped with a mounted camera used for airborne photography. The simulation is used to estimate coverage, the temporal and spatial resolution of aerial imagery acquired this way, as well as the storage capacity required for storing all imagery data. The results show that Europe is 83.28 percent covered with an average of one aerial photography every half an hour and a ground sampling distance of 0.96 meters per pixel. Capturing such imagery results in 20 million images or four petabytes of image data per day. More detailed results are given in the paper for separate countries/territories in Europe, individual commercial airlines and alliances, as well as three different cameras. MDPI 2020-03-17 /pmc/articles/PMC7146626/ /pubmed/32192048 http://dx.doi.org/10.3390/s20061658 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mastelic, Toni Lorincz, Josip Ivandic, Ivan Boban, Matea Aerial Imagery Based on Commercial Flights as Remote Sensing Platform |
title | Aerial Imagery Based on Commercial Flights as Remote Sensing Platform |
title_full | Aerial Imagery Based on Commercial Flights as Remote Sensing Platform |
title_fullStr | Aerial Imagery Based on Commercial Flights as Remote Sensing Platform |
title_full_unstemmed | Aerial Imagery Based on Commercial Flights as Remote Sensing Platform |
title_short | Aerial Imagery Based on Commercial Flights as Remote Sensing Platform |
title_sort | aerial imagery based on commercial flights as remote sensing platform |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146626/ https://www.ncbi.nlm.nih.gov/pubmed/32192048 http://dx.doi.org/10.3390/s20061658 |
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