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Paper Information

Journal:   MODARRES HUMAN SCIENCES   SPRING 2004 , Volume 8 , Number 1 (TOME 32); Page(s) 117 To 132.
 
Paper: 

EVALUATION OF THE REFLECTIVE AND THERMAL BAND-BASED ALGORIHMS FOR SNOW COVER MAPPING IN KARAJ DAM WATERSHED

 
 
Author(s):  ALI MOHAMMADI A.*, JELOKHANI NEYARAKI MASOUMEH
 
* Tehran-Iran
 
Abstract: 
A Field measurement of snow cover is very expensive and time consuming and ‎usually it is performed in a limited number of stations. Now days, remote sensing ‎technology is used as a useful tool for snow cover mapping. However, in spite of high ‎capability of satellite images, discrimination between snow and cloud because of ‎spectral overlap between them is one of the most important limitations‏. ‏‎
‎ In this research, in order to study the possibility of snow and cloud discrimination, ‎NOAA-14 images have been used and three snow indexes including: T__3 - T__4, ‎R__4/(R_3)^1/2, A__2/R__3 have been calculated which are based on the combination ‎of reflective and thermal bands. The resulted images have been classified using the ‎band combination indexes and fuzzy-based maximum likelihood classifier (MLC). ‎Results of the accuracy assessment of snow (mean overall kappa= 0.831) indicate that ‎the referred algorithm could sufficiently separate the snow from no snow (e.g. cloud ‎and land). Snow cover changes were also detected using the subtraction method of ‎multi-temporal snow cover maps. The results of the analysis of topographic positions ‎‎(elevation, slope) indicate that the changed snow classes in comparison with ‎unchanged snow classes are mostly located on lower elevation and steeper slopes. ‎This observation is consistent with the theoretical expectations and approximately ‎confirms the validity of snow cover change maps‏.‏
 
Keyword(s): SNOW COVER MAPPING, SNOW CLOUD DISCRIMINATION, AVHRR, GIS, REFLECTIVE AND THERMAL BANDS
 
References: 
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