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Special Issue "Drone Sensing and Imaging for Environment Monitoring"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 15 March 2022.

Special Issue Editor

Dr. Giuseppe Di Stefano
E-Mail Website
Guest Editor
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Via di vigna murata 605, 00143 Roma, Italy
Interests: development of electronic and mechanical technologies for geophysical observation and volcanology; measurement instruments; embedded systems; mechatronic

Special Issue Information

Dear Colleagues,

The development and diffusion of unmanned and remote controlled flying platforms (drones) has induced the universities and scientists to use these systems in many scientific field where is fondamental the observation, the inspection and management of critical areas by the remote sensing.

A drone can be equipped with small and compact instrumentation, precision GPS systems, thermal and multispectral cameras, magnetometers and high resolution cameras capable of performing reporting maps in very high precision, thermal photographs, high definition video footage, but also gas or ground material sampling or tools release.

Thus allowing to explore extreme sites and collect a wide range of useful data and details in short time for the study of natural phenomena and environmental monitoring, with very low operating costs.

These high-performance multipurpose flight systems can now safely access inaccessible environments. At the same time, they have stimulated technological research to develop new airborne instruments and sensors and new remote observation techniques.

This Special Issue is dedicated to drone sensing and applications of sensors and tools designed for environmental monitoring to be integrated on board drones" with a new sentence "This special issue is dedicated to environmental detection through drones and the application of new sensors and tools designed to be integrated on board drones and used for environmental research and monitoring

Dr. Giuseppe Di Stefano
Guest Editor

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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 papers will be 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. Sensors 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 2200 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

  • remote sensing
  • infrared camera
  • remote sampling
  • multipurpose drone
  • instruments release
  • gas sensors
  • multispectral camera

Published Papers (2 papers)

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Research

Article
Development of Drone-Mounted Multiple Sensing System with Advanced Mobility for In Situ Atmospheric Measurement: A Case Study Focusing on PM2.5 Local Distribution
Sensors 2021, 21(14), 4881; https://doi.org/10.3390/s21144881 - 17 Jul 2021
Cited by 1 | Viewed by 636
Abstract
This study was conducted using a drone with advanced mobility to develop a unified sensor and communication system as a new platform for in situ atmospheric measurements. As a major cause of air pollution, particulate matter (PM) has been attracting attention globally. We [...] Read more.
This study was conducted using a drone with advanced mobility to develop a unified sensor and communication system as a new platform for in situ atmospheric measurements. As a major cause of air pollution, particulate matter (PM) has been attracting attention globally. We developed a small, lightweight, simple, and cost-effective multi-sensor system for multiple measurements of atmospheric phenomena and related environmental information. For in situ local area measurements, we used a long-range wireless communication module with real-time monitoring and visualizing software applications. Moreover, we developed four prototype brackets with optimal assignment of sensors, devices, and a camera for mounting on a drone as a unified system platform. Results of calibration experiments, when compared to data from two upper-grade PM2.5 sensors, demonstrated that our sensor system followed the overall tendencies and changes. We obtained original datasets after conducting flight measurement experiments at three sites with differing surrounding environments. The experimentally obtained prediction results matched regional PM2.5 trends obtained using long short-term memory (LSTM) networks trained using the respective datasets. Full article
(This article belongs to the Special Issue Drone Sensing and Imaging for Environment Monitoring)
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Article
A Test on the Potential of a Low Cost Unmanned Aerial Vehicle RTK/PPK Solution for Precision Positioning
Sensors 2021, 21(11), 3882; https://doi.org/10.3390/s21113882 - 04 Jun 2021
Cited by 1 | Viewed by 675
Abstract
This paper investigated the achievable accuracy from a low-cost RTK (Real Time Kinematic)/PPK (Post Processing Kinematic) GNSS (Global Navigation Satellite Systems) system installed on board a UAV (Unmanned Aerial Vehicle), employing three different types of GNSS Bases (Alloy, RS2 and RING) working in [...] Read more.
This paper investigated the achievable accuracy from a low-cost RTK (Real Time Kinematic)/PPK (Post Processing Kinematic) GNSS (Global Navigation Satellite Systems) system installed on board a UAV (Unmanned Aerial Vehicle), employing three different types of GNSS Bases (Alloy, RS2 and RING) working in PPK mode. To evaluate the quality of the results, a set of seven GCPs (Ground Control Points) measured by means of the NRTK (Network Real Time Kinematic) technique was used. The outcomes show a RMSE (Root Mean Square Error) of 0.0189 m for an ALLOY Base, 0.0194 m for an RS2 Base and 0.0511 m for RING Base, respectively, on the vertical value of DEMs (Digital Elevation Models) obtained by a photogrammetric process. This indicates that, when changing the Base for the PPK, the solutions are different, but they can still be considered adequate for precision positioning with UAVs, especially when GCPs could be used with some difficulty. Therefore, the integration of a RTK/PPK GNSS module on a UAV allows the reconstruction of a highly detailed and precise DEM without using GCPs and provides the possibility to carry out surveys in inaccessible areas. Full article
(This article belongs to the Special Issue Drone Sensing and Imaging for Environment Monitoring)
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