System and method for prairie snow disaster remote sensing monitoring and disaster situation evaluation

Abstract

The invention discloses a system and a method for prairie snow disaster remote sensing monitoring and disaster situation evaluation. The system comprises a pretreatment module, an accumulated snow area fusion module, an accumulated snow depth estimation module, an accumulated snow coverage rate estimation module, a grass height estimation module, an accumulated snow synthesizing module and a snow disaster rank evaluation module, wherein the pretreatment module is used for reading and processing the LIB data of a moderate resolution imaging spectrometer (MODIS) and the L1B data of an advanced microwave scanning radiometer-earth observation system (AMSR-E) to obtain a pretreatment result; the accumulated snow area fusion module is used for performing data fusion treatment according to the pretreatment result to obtain a total accumulated snow area of a single day; the accumulated snow depth estimation module is used for obtaining the accumulated snow depth of a single day; the accumulated snow coverage rate estimation module is used for obtaining the total accumulated snow coverage rate of a single day; the grass height estimation module is used for obtaining the grass height of a single day; the accumulated snow synthesizing module is used for obtaining the accumulated snow lasting days, the average accumulated snow coverage rate, the average accumulated snow depth and the average grass height; and the snow disaster rank evaluation module is used for evaluating the rank of a snow disaster. The system and method can dynamically monitor the snow accumulation situation of a prairie all the day and can give an early alarm according to the rank of the snow disaster of the prairie.

Description

technical field [0001] The present invention relates to the use of MODIS (Moderate Resolution Imaging Spectrometer: medium-resolution imaging spectrometer) and AMSR-E (Advanced Microwave Scanning Radiometer-EOS: Earth Observation System-Advanced Microwave Scanning Radiometer) L1B data for grassland snow disaster remote sensing monitoring and disaster assessment Technology, especially the system and method for all-weather snow cover remote sensing monitoring and disaster assessment on grasslands using MODIS and AMSR-E L1B data fusion. Background technique [0002] China's grassland area accounts for about 40% of the total land area, about 400 million hm 2 , and more than 90% of them are concentrated in Xinjiang, Inner Mongolia, Tibet and Qinghai provinces and regions. These areas have high latitude and high altitude, cold and dry climate, and frequent natural disasters. Among them, snow disasters are the most harmful to livestock overwintering. The snowstorm occurred, and th...

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Problems solved by technology

When using this method, it is limited in practical application due to the need for the measured BRDF

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