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白天和夜间通用的卫星遥感沙尘判识算法构建与验证分析
王威1, 胡秀清2, 张鹏2, 闵敏2
(1.中国气象科学研究院,国家卫星气象中心;2.国家卫星气象中心)
Construction and validation of remote sensing dust recognition algorithm in daytime and nighttime
wang wei1, hu xiu qing2, zhang peng2, min min2
(1.Chinese Academy of Meteorological Sciences,National Satellite Meteorological Centre;2.National Satellite Meteorological Centre)
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投稿时间:2018-07-24    修订日期:2019-09-20
中文摘要: Himawari-8是日本发射的新一代静止气象卫星,与前一代的MTSAT-2相比,在时间、空间分辨率上都有了很大提升,特别在红外通道数量从4个增至10个,为红外遥感沙尘提供了新的观测数据。本研究充分利用Himawari-8的红外观测数据,发展仅用红外通道的沙尘全天候判识算法,可以实现白天和夜间的连续监测。该算法在前人基础上去除了可见光通道,同时引入更多红外通道来进行云检测和沙尘判识。由于一天之中,表面温度发生变化,因此针对白天和夜间设置了两套不同的判别阈值,来保证全天的适用性。最后利用两次沙尘事件对沙尘判别结果的分析和检验表明,本文方法遥感判识结果与地面气象站和PM10观测之间较为一致,说明了只用红外通道全天候判识沙尘的可行性。
Abstract:Himawari-8 is a new generation of geostationary meteorological satellite launched by Japan. Compared with the previous generation of MTSAT-2, it has greatly improved its time and spatial resolution. The number of infrared channels of Himawari-8 increased from 4 to 10 compared with MTSAT-2, providing new observation data for infrared remote sensing of dust. This research makes full use of Himawari-8 infrared observation data and develops an all-day dust identification algorithm using only infrared channels, which can realize continuous monitoring during the day and at night. The algorithm is based on previous algorithms, and does not use visible light channels, but uses more infrared channels for cloud detection and dust recognition. As surface temperature change during the day, two different sets of discriminant thresholds are set up for daytime and night to ensure the applicability of the whole day. Finally, two dust events were used to analyze and verify the results of dust discrimination. The consistency between ground-based and remote sensing results shows that it is feasible to use the infrared channel to identify sand and dust all day.
文章编号:201807240321     中图分类号:TP701    文献标志码:
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
引用文本:
王威,胡秀清,张鹏,闵敏,0.[en_title][J].Meteor Mon,():-.
wang wei,hu xiu qing,zhang peng,min min,0.Construction and validation of remote sensing dust recognition algorithm in daytime and nighttime[J].Meteor Mon,():-.