Atmospheric Measurements with Unmanned Aerial Systems (UAS)
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 perfor...
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| Year of Publication: | 2021 |
| Language: | English |
| Physical Description: | 1 electronic resource (248 p.) |
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| 100 | 1 | |a Guzman, Marcelo |4 edt | |
| 245 | 1 | 0 | |a Atmospheric Measurements with Unmanned Aerial Systems (UAS) |
| 246 | |a Atmospheric Measurements with Unmanned Aerial Systems | ||
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
| 300 | |a 1 electronic resource (248 p.) | ||
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| 520 | |a 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. | ||
| 546 | |a English | ||
| 650 | 7 | |a Research & information: general |2 bicssc | |
| 653 | |a unmanned aerial vehicles (UAV) | ||
| 653 | |a drones | ||
| 653 | |a geostatistics | ||
| 653 | |a atmospheric physics | ||
| 653 | |a meteorology | ||
| 653 | |a spatial sampling | ||
| 653 | |a unmanned aerial vehicles | ||
| 653 | |a unmanned aerial systems, turbulence | ||
| 653 | |a atmospheric boundary layer | ||
| 653 | |a TK-1G sounding rocket | ||
| 653 | |a near space | ||
| 653 | |a data analysis | ||
| 653 | |a remote sensing | ||
| 653 | |a unmanned aerial systems | ||
| 653 | |a atmospheric composition | ||
| 653 | |a sensors | ||
| 653 | |a UAS | ||
| 653 | |a RPAS | ||
| 653 | |a ALADINA | ||
| 653 | |a airborne turbulence | ||
| 653 | |a radiation measurements | ||
| 653 | |a aerosol measurements | ||
| 653 | |a field experiments | ||
| 653 | |a validation methods | ||
| 653 | |a unmanned aircraft | ||
| 653 | |a meteorological observation | ||
| 653 | |a stable atmospheric boundary layer | ||
| 653 | |a turbulence | ||
| 653 | |a remotely piloted aircraft systems (RPAS) | ||
| 653 | |a ground-based in-situ observations | ||
| 653 | |a boundary layer remote sensing | ||
| 653 | |a Arctic | ||
| 653 | |a polar | ||
| 653 | |a sea ice | ||
| 653 | |a source estimation | ||
| 653 | |a methane emissions | ||
| 653 | |a natural gas | ||
| 653 | |a leak surveys | ||
| 653 | |a inverse emissions | ||
| 653 | |a MONITOR | ||
| 653 | |a UAV | ||
| 653 | |a LDAR | ||
| 653 | |a air pollution | ||
| 653 | |a unmanned aerial vehicle (UAV) | ||
| 653 | |a PM2.5 | ||
| 653 | |a meteorological condition | ||
| 653 | |a long-distance transport | ||
| 653 | |a satellite data | ||
| 653 | |a RMLD-UAV | ||
| 653 | |a methane | ||
| 653 | |a mass flux | ||
| 653 | |a leak rate quantification | ||
| 653 | |a wind speed and direction estimation algorithms | ||
| 653 | |a flow probes | ||
| 653 | |a airspeed measurement | ||
| 653 | |a small unmanned aircraft systems (sUAS) | ||
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