Paper Information

Journal:   IRAN-WATER RESOURCES RESEARCH   SPRING 2017 , Volume 13 , Number 1 #M0054; Page(s) 163 To 177.
 
Paper: 

EVALUATION AND IMPROVEMENT OF SNOW COVER DETECTION FROM MODIS IMAGES

 
 
Author(s):  TASDIGHIAN M., RAHIMZADEGAN M.*
 
* WATER RESOURCES DEPARTMENT, CIVIL ENGINEERING FACULTY, K. N. TOOSI UNIVERSITY OF TECHNOLOGY, TEHRAN, IRAN
 
Abstract: 

Information from snow cover as one of the major resources of the groundwater, drinking, and agriculture water has a significant importance in water resources management. One of the important sources of data for snow cover detection are the MODIS satellite images, from which the snow products are routinely produced. This research aims to improve the snow cover detection algorithm of MODIS using topography correction and Land Surface Temperature (LST) thresholding. In this regard, Northwestern part of Iran was selected as a pilot area. Because of the lack of field snow area data the Landsat 8 images were chosen as ground truth. Five appropriate simultaneous MODIS and Landsat 8 images in years 2014 and 2015 were prepared and 5 samples with 10000 pixels in each MODIS image were selected. Three algorithms were then implemented. The first one with MODIS snow product method achieved the mean absolute relative error of 3.44 percent. In the second algorithm topographic correction was implemented which reduced the error to 2.25 percent. The third algorithm investigated land surface temperature thresholding effect, which in the best value of LST with considering 278 K threshold yielded to mean absolute relative error of 2.58 percent. Hence, results indicated the proficiency of the provided algorithms in the study area, comparing with the standard method.

 
Keyword(s): MODIS IMAGES, LANDSAT 8 IMAGES, SNOW COVER AREA, LAND SURFACE TEMPERATURE, TOPOGRAPHIC CORRECTION
 
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