Reprint
Atmospheric Measurements with Unmanned Aerial Systems (UAS)
Edited by
March 2021
248 pages
- ISBN978-3-03943-985-0 (Hardback)
- ISBN978-3-03943-986-7 (PDF)
This is a Reprint of the Special Issue Atmospheric Measurements with Unmanned Aerial Systems (UAS) that was published in
Chemistry & Materials Science
Environmental & Earth Sciences
Summary
This book is the first literature collection focused on the development and implementation of unmanned aircraft systems (UAS) and their integration with sensors for atmospheric measurements on Earth. The research covered in the book combines chemical, physical, and meteorological measurements performed in field campaigns, as well as conceptual and laboratory work. Useful examples for the development of platforms and autonomous systems for environmental studies are provided, which demonstrate how careful the operation of sensors aboard UAS must be to gather information for remote sensing in the atmosphere. The work serves as a key collection of articles to introduce the topic to new researchers interested in the field, guide future studies, and motivate measurements to improve our understanding of the Earth’s complex atmosphere.
Format
- Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
unmanned aerial vehicles (UAV); drones; geostatistics; atmospheric physics; meteorology; spatial sampling; unmanned aerial vehicles; unmanned aerial systems, turbulence; atmospheric boundary layer; TK-1G sounding rocket; near space; data analysis; remote sensing; unmanned aerial vehicles; unmanned aerial systems; drones; atmospheric composition; sensors; UAS; RPAS; ALADINA; atmospheric boundary layer; airborne turbulence; radiation measurements; aerosol measurements; field experiments; validation methods; atmospheric boundary layer; unmanned aircraft; meteorological observation; stable atmospheric boundary layer; turbulence; unmanned aerial vehicles (UAV); remotely piloted aircraft systems (RPAS); ground-based in-situ observations; boundary layer remote sensing; Arctic; polar; sea ice; n/a; source estimation; methane emissions; natural gas; leak surveys; inverse emissions; MONITOR; UAV; LDAR; air pollution; unmanned aerial vehicle (UAV); PM2.5; meteorological condition; long-distance transport; satellite data; unmanned aerial vehicles; RMLD-UAV; natural gas; methane; mass flux; leak rate quantification; wind speed and direction estimation algorithms; flow probes; airspeed measurement; small unmanned aircraft systems (sUAS); unmanned aerial vehicles (UAV); remotely piloted aircraft systems (RPAS); n/a