Evaluation of Snow Parameters using Passive Microwave Remote Sensing

Defence Science Journal

H. S. Negi¹  K. K. Singh¹  V. D. Mishra¹ 

[1] Snow & Avalanche Study Establishment, Chandigarh

关键词: SSM/I;    snow water equivalent;    snow depth;    brightness temperature;    avalanche risk analysis;    avalanche forecasting;    algorithm;    avalanche monitoring;    remote sensing;    sensors;    specialsensor microwave/imager;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: Defence Scientific Information & Documentation Centre

【 摘 要 】

The study of snow characteristics using conventional techniques for vast, rugged andremote snow covered areas of Himalayas is very difficult. In the present study, the satellite dataof SSM/I sensor has been used. Changes in snow accumulation result in related variations inpassive microwave brightness temperature. This study attempts to develop new algorithms usingbrightness temperature for snow water equivalent (SWE) and snow depth that will suit theIndian Himalayan conditions. The snow and meteorological data recorded in the field is usedto determine the empirical coefficients, which have been further used in the algorithmdevelopment. The parameters evaluated can be used as the input for the avalanche risk analysis,as one can estimate average snow depth and SWE of the area which are main input for avalancheforecasting. Algorithms are further used for the prediction of snow depth and SWE for subsequentwinters using the brightness temperature. A good correlation was found between the predictedand the observed values from the ground observatory data.

【 授权许可】

Unknown