Snow Cover Detection Based on Visible Red and Blue Channel from MODIS Imagery DataReport as inadecuate




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In the present work, a newsnow cover detection method based on visible red and blue bands from MODISimagery data is proposed for Akita prefecture under the sunny cloud-freeconditions. Before the snow cover detection, the MODIS imagery of the studyarea is pre-processed by geographic correction, clipping, atmosphericcorrection and topographic correction. Snow cover detection is carried out byapplying the reflectance similarities of snow and other substances in thevisible red band 1 and blue band 3. Then, the threshold values are confirmed todistinguish snow pixels from other substances by analyzing the composited truecolor images and 2-dimensional scatter plots. The MOD10 L2 products and in-situ snow depth data from 31 observationstations across the whole study area are chosen to compare and validate theeffectivity of proposed method for snow cover detection. We calculate theoverall accuracy, over-estimation error and under-estimation error of snowcover detection during the snowy season from May 2012 to April 2014, and theresults are compared by classifying all of the observation stations into forestareas, basin areas and plain areas. It proves that the snow cover can bedetected effectively in Akita prefecture by the proposed method. And the averageoverall accuracy of proposed method is higher than MOD10 L2 product, improvedby 26.27%. The proposed method is expected to improve the environmentmanagement and agricultural development for local residents.

KEYWORDS

Akita, MODIS, Remote Sensing, Snow Cover

Cite this paper

Pan, P. , Chen, G. , Saruta, K. and Terata, Y. 2015 Snow Cover Detection Based on Visible Red and Blue Channel from MODIS Imagery Data. International Journal of Geosciences, 6, 51-66. doi: 10.4236-ijg.2015.61004.





Author: Paipai Pan1, Guoyue Chen2, Kazuki Saruta2, Yuki Terata2

Source: http://www.scirp.org/



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