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UAV-Based Environmental Monitoring

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: closed (15 August 2021) | Viewed by 8024

Special Issue Editor


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Guest Editor
Department of Mechanical Engineering, University of Kentucky, Lexington, KY 40506, USA
Interests: unmanned aerial vehicles; measurement technologies; fluid mechanics; turbulence; boundary layers; micrometeorology.
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Unmanned aerial vehicles have become an increasingly viable option for the measurement of the environment in which we live. This Special Issue will provide a comprehensive overview of the development and use of remote sensing technology for environmental measurement and monitoring using unmanned aerial vehicles and systems. We invite research articles that consolidate our understanding of the state-of-the-art in this area. The Special Issue will publish full research, review, and highly rated manuscripts addressing the above topic. The scope of this Special Issue includes, but it is not limited to the following:

  • UAV applications of remote sensing for environmental measurement
  • Improvements in UAV technology for remote sensing
  • Micro UAV applications
  • UAV sensor design
  • Descriptions of processing algorithms applied to UAV-based datasets including artificial intelligence and-data mining-based strategies
  • UAV system architecture for remote sensing applications
  • Collaborative strategies and mechanisms to integrate UAVs into heterogeneous sensing networks

Dr. Sean C. Bailey
Guest Editor

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

  • Unmanned aerial vehicles
  • Unmanned aerial systems
  • Environmental monitoring
  • Heterogeneous system integration
  • Artificial intelligence
  • Data mining
  • Sensor fusion

Published Papers (2 papers)

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Research

32 pages, 6985 KiB  
Article
The Atmospheric Boundary Layer and Surface Conditions during Katabatic Wind Events over the Terra Nova Bay Polynya
by Marta Wenta and John J. Cassano
Remote Sens. 2020, 12(24), 4160; https://0-doi-org.brum.beds.ac.uk/10.3390/rs12244160 - 19 Dec 2020
Cited by 17 | Viewed by 3795
Abstract
Off the coast of Victoria Land, Antarctica an area of open water—the Terra Nova Bay Polynya (TNBP)—persists throughout the austral winter. The development of this coastal polynya is driven by extreme katabatic winds blowing down the slopes of Transantarctic Mountains. The surface-atmosphere coupling [...] Read more.
Off the coast of Victoria Land, Antarctica an area of open water—the Terra Nova Bay Polynya (TNBP)—persists throughout the austral winter. The development of this coastal polynya is driven by extreme katabatic winds blowing down the slopes of Transantarctic Mountains. The surface-atmosphere coupling and ABL transformation during the katabatic wind events between 18 and 25 September 2012 in Terra Nova Bay are studied, using observations from Aerosonde unmanned aircraft system (UAS), numerical modeling results and Antarctic Weather Station (AWS) measurements. First, we analyze how the persistence and strength of the katabatic winds relate to sea level pressure (SLP) changes in the region throughout the studied period. Secondly, the polynya extent variations are analysed in relation to wind speed changes. We conclude that the intensity of the flow, surface conditions in the bay and regional SLP fluctuations are all interconnected and contribute to polynya development. We also analyse the Antarctic Mesoscale Prediction System (AMPS) forecast for the studied period and find out that incorrect representation of vertical ABL properties over the TNBP might be caused by overestimated sea ice concentrations (SIC) used as model input. Altogether, this research provides a unique description of TNBP development and its interactions with the atmosphere and katabatic winds. Full article
(This article belongs to the Special Issue UAV-Based Environmental Monitoring)
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17 pages, 3567 KiB  
Article
The Effect of Climatological Variables on Future UAS-Based Atmospheric Profiling in the Lower Atmosphere
by Ariel M. Jacobs, Tyler M. Bell, Brian R. Greene and Phillip B. Chilson
Remote Sens. 2020, 12(18), 2947; https://0-doi-org.brum.beds.ac.uk/10.3390/rs12182947 - 11 Sep 2020
Viewed by 3260
Abstract
Vertical profiles of wind, temperature, and moisture are essential to capture the kinematic and thermodynamic structure of the atmospheric boundary layer (ABL). Our goal is to use weather observing unmanned aircraft systems (WxUAS) to perform the vertical profiles by taking measurements while ascending [...] Read more.
Vertical profiles of wind, temperature, and moisture are essential to capture the kinematic and thermodynamic structure of the atmospheric boundary layer (ABL). Our goal is to use weather observing unmanned aircraft systems (WxUAS) to perform the vertical profiles by taking measurements while ascending through the ABL and subsequently descending to the Earth’s surface. Before establishing routine profiles using a network of WxUAS stations, the climatologies of the flight locations must be studied. This was done using data from the North American Regional Reanalysis (NARR) model. To begin, NARR data accuracy was verified against radiosondes. While the results showed variability in individual profiles, the detailed statistical analyses of the aggregated data suggested that the NARR model is a viable option for the study. Based on these findings, we used NARR data to determine fractions of successful hypothetical flights of vertical profiles across the state of Oklahoma given thresholds of visibility, cloud base level (CBL) height, and wind speed. CBL height is an important parameter because the WxUAS must stay below clouds for the flight restrictions being considered. For the purpose of this study, a hypothetical WxUAS flight is considered successful if the vehicle is able to reach an altitude corresponding to a pressure level of 600 hPa. Our analysis indicated the CBL height parameter hindered the fractions of successful hypothetical flights the most and the wind speed tolerance limited the fractions of successful hypothetical flights most strongly in the winter months. Northwest Oklahoma had the highest fractions of successful hypothetical flights, and the southeastern corner performs the worst in every season except spring, when the northeastern corner performed the worst. Future work will study the potential effect of topology and additional variables, such as amount of rainfall and temperature, on fractions of successful hypothetical flights by region of the state. Full article
(This article belongs to the Special Issue UAV-Based Environmental Monitoring)
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