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