Reprint

Sensors for Fire and Smoke Monitoring

Edited by
October 2021
236 pages
  • ISBN978-3-0365-1985-2 (Hardback)
  • ISBN978-3-0365-1984-5 (PDF)

This book is a reprint of the Special Issue Sensors for Fire and Smoke Monitoring that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary

This book presents the papers accepted to the Special Issue of the journal Sensors on "Sensors for Fire and Smoke Monitoring". The ten contributions to this book present a unique cross-section of current research priorities related to fire and smoke sensing in the scientific community. Although far from a complete survey, the articles presented demonstrate a growing interest in the use of remote sensing for wildfire research and monitoring, and the pursuit of new technologies for the detection and characterization of smoke, fire and their by-products. Notably, there is a strong interest in processing techniques for extracting increasingly complex products from existing data types. The papers presented provide an accurate reflection of the present focus of our field and provide a balanced introduction to the topic of sensors for fire and smoke monitoring.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
wildfire detection; block-based analysis; transfer learning; Fourier analysis; pruning and slimming; wildfire; wildfire management; satellite design; wildfire monitoring; wildfire detection; air quality; carbon emissions; user requirements; wildland fire; forest fire; earth observation; remote sensing; smoke detector; obscuration per meter (OPM); obscuration threshold; smoke color; performance-based fire safety design (PBD); Gabor filtering; PCA morphological transformations; fuzzy clustering; color image segmentation; fire forest; early fire detection; multispectral imaging systems; terrestrial; aerial; satellite; artificial intelligence; thermal infrared cameras; thermal imaging data; wildfire detection; active fire monitoring; early warning systems; unmanned aerial systems; tropical peatlands; landscape fire; emissions; FRP; total particulate matter; wildland fire; fire energy; sensible heat flux; convective heat flux; fire radiated energy (FRE); residence time; bi-directional probe; flame velocity; gas temperature; RxCADRE Project; wildfire; fire monitoring; mid-wave infrared; airborne sensor; geocorrection; wildfire; microbolometer; FRP; radiometric; UAV; satellite; n/a