关键词: 草原, 积雪, 光学遥感, 微波遥感, 协同监测

Abstract:

The acquisition grassland snow information has important significance for the determination of grassland snow disaster influence scope and disaster grade. On the basis of the advantages and disadvantages of optical remote sensing and microwave remote sensing applied to monitor grass snow, this paper presents the business process monitoring real-time grassland snow in China based on effective cooperation between optical MODIS data and passive microwave AMSR-E data, which describes the correlated algorithms and implementation steps. Then, according to the Ministry of Agriculture requirement, we carried out an all-weather real-time monitoring of the snowstorm situation of grassland in Inner Mongolia, one of the worst snowstorm-stricken regions in China, from December 1, 2007 to January 2008, and finally, we obtained the actual result, based on 51 days of continuous monitoring data, from which we can learn the space-time state during the monitoring period of the grassland in Inner Mongolia. This paper presents that the multi-source remote sensing data for the fusion application algorithm and technical route in monitoring grassland snow, and implements all-weather real-time monitoring for grassland snow. This can be applied in vocational operation of grassland snow monitoring to promote the snow disaster and disaster reduction emergency response associatecl with advanced remote sensing application level and monitoring accuracy. This can satisfy the emergency needs of the national snowstorm disaster reduction.

Key words: grassland, snow cover, optical remote sensing, microwave remote sensing, fusion monitoring