DocumentCode :
477806
Title :
Fog Detection Using MODIS Data in the Yangtze River Delta
Author :
Yang, Lan ; Xu, Yongming ; Wei, Ming
Author_Institution :
Nanjing Sino-America Cooperative Remote Sensing Lab., Nanjing Univ. of Inf. Sci. & Technol., Nanjing
Volume :
2
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
457
Lastpage :
461
Abstract :
MODIS data provides good data resources in fog detection for its abundant bands and high resolution. The heavy fogs in the Yangtze River Delta during Dec. 20th and 22th in 2007 are detected by multi-spectral threshold method. According to the differences of the radiation features of the cloud, the fog and the land in the visible, middle infrared and far infrared bands, the multi-spectral method is developed to distinguish the fog from the cloud. The classification results, compared with the surface observation, indicate that this method has a good effect on fog detection.
Keywords :
data handling; image classification; infrared spectra; natural sciences computing; rivers; spectral analysis; Yangtze River Delta; data resources; fog detection; heavy fogs; middle infrared; multispectral threshold method; radiation features; visible infrared; Atmosphere; Clouds; Information science; Infrared detectors; Laboratories; MODIS; Mie scattering; Remote sensing; Rivers; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Shandong
Print_ISBN :
978-0-7695-3305-6
Type :
conf
DOI :
10.1109/FSKD.2008.302
Filename :
4666159
Link To Document :
بازگشت