DocumentCode :
3690401
Title :
Estimating the characteristics of sub-pixel fires using Suomi-NPP VIIRS data
Author :
Soo Chin Liew;Aik Song Chia;Leong Keong Kwoh
Author_Institution :
Centre for Remote Imaging, Sensing and Processing, National University of Singapore, Singapore
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
2163
Lastpage :
2165
Abstract :
The characteristics of sub-pixel fires in Suomi-NPP VIIRS data are studied using the Nightfire algorithm which attempts to fit the spectral radiance to a blackbody function. For small and/or low intensity fires, the fire temperature tends to be underestimated while the fire area are overestimated. The accuracy is improved when only the shorter wavelength bands are used in the fitting or when the whole spectrum is fitted to two blackbody functions representing the fire and the background components.
Keywords :
"Fires","Fitting","Temperature distribution","Temperature sensors","Satellites","Mathematical model"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7326232
Filename :
7326232
Link To Document :
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