首页|基于FY-4A气象卫星多通道数据组合的沙尘暴识别阈值研究

基于FY-4A气象卫星多通道数据组合的沙尘暴识别阈值研究

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卫星遥感在沙尘气溶胶的监测中具有独特优势,是沙尘判识研究的重要技术支撑.为提高沙尘暴识别精度,利用FY-4A气象卫星14 个通道的反射率及亮温数据,通过目标物多通道阈值综合分析方法识别沙尘天气现象,确立并优化沙尘暴判识阈值,为沙尘暴天气现象智能分析判识模型提供支持.结果表明:可见光与近红外通道在有云时变化比较明显,在沙尘区域可见光与近红外通道和短波红外通道亮温值差距较小,并且短波红外通道值大于可见光与近红外通道值;中波红外通道在沙尘区表现出相同的变化趋势,并且在沙尘区亮温值明显高.经过阈值优化,针对大范围的沙尘天气识别结果与观测实况基本吻合,所以多通道阈值法可以有效提升沙尘区的判识精度.
Research on the Identification Threshold of Dust Storm based on FY-4A Meteorological Matellite Multi-channel Combination
Satellite remote sensing has unique advantages in monitoring sand and dust aerosols,and is a key technical support for identification research of sand and dust.To improve the accuracy of dust storm identification,the reflectivity and bright temperature data of 14 channels of FY-4A meteorological satellites are utilized to identify sand and dust weather phenomena through the comprehensive analysis method of multi-channel thresholds of targets,and to establish and optimize the identification thresholds of sand and dust storms,to provide support for the intelligent analysis of identi-fication models of sand and dust storms weather phenomena.The results show that visible and near-infrared channels change significantly when there are clouds,the difference between the bright temperature values of visible and near-in-frared channels and short-wave infrared channels in the dust area is small,and the value of short-wave infrared channel is greater than that of visible and near-infrared channel.The mid-wave infrared channels showed the same trend in the dust area,and the bright temperature value in the dust area was significantly higher.After multiple threshold optimiza-tions,the recognition effect of sand and dust weather is getting better and better,especially for large-scale sand and dust weather,and the recognition results are consistent with the observation reality.The multi-channel threshold method has a good effect on the identification of sand and dust weather and can be used for the identification of sand and dust areas.

FY-4Adust stormrecognition threshold conditions

范彦芳、杨有林、武雅珍、杨晓旻、程晓龙、马宏

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中国气象局旱区特色农业气象灾害监测预警与风险管理重点实验室,宁夏 银川 750002

宁夏气象防灾减灾重点实验室,宁夏 银川 750002

宁夏气象信息中心,宁夏 银川 750002

FY-4A气象卫星 沙尘暴 判识阈值条件

2025

成都信息工程大学学报
成都信息工程学院

成都信息工程大学学报

影响因子:0.329
ISSN:2096-1618
年,卷(期):2025.40(1)