Abstract
Nightfire is a new fire product created by the National Oceanic and Atmospheric Administration (NOAA). The Nightfire algorithm detects and characterizes sub-pixel heat sources using multispectral data collected globally each night by the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS). The Nightfire algorithm is applied to two types of data streams. The global data stream has a 7–10 h latency that renders the data of low value to the first responder community. The second type of data stream comes from direct readout ground stations, where fire detection data can be available in less than 1 h. The Nightfire algorithm currently detects fires with high accuracy, however there are two areas where research and development (R&D) is needed to improve the value of VIIRS satellite fire detections to the first responder community. This includes refinement of the file format and file content, and improvements in the data delivery mechanisms. It should be possible to develop services that deliver graphics and text results to smartphones and other mobile devices used by the first responder community.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dozier J (1981) A method for satellite identification of surface temperature fields of sub-pixel resolution. Remote Sens Environ 11:221–229. doi:10.1016/0034-4257(81)90021-3
Elvidge CD, Zhizhin M, Hsu F-C, Baugh K (2013) VIIRS nightfire: satellite pyrometry at night. Remote Sens 5(9):4423–4449. doi:10.3390/rs5094423
Giglio L, Kendall JD (2001) Application of the Dozier retrieval to wildfire characterization—a sensitivity analysis. Remote Sens Environ 77:34–49
Acknowledgments
The Nightfire development is funded by NOAA’s Joint Polar Satellite System (JPSS) Proving Ground program and the U.S. Department of Homeland Security. NGDC is grateful to the University of Wisconsin Cooperative Institute for Meteorological Satellite Studies (CIMSS) for providing open access to the VIIRS data collected from their ground station.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media New York
About this chapter
Cite this chapter
Elvidge, C., Zhizhin, M., Hsu, FC., Baugh, K. (2015). Rapid Fire Detection, Characterization and Reporting from VIIRS Data. In: Lippitt, C., Stow, D., Coulter, L. (eds) Time-Sensitive Remote Sensing. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2602-2_4
Download citation
DOI: https://doi.org/10.1007/978-1-4939-2602-2_4
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-2601-5
Online ISBN: 978-1-4939-2602-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)