基于FY-4A卫星的沙尘暴识别方法研究与比较

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中图分类号：TN92；P405 文献标识码：A

文章编号：2096-4706（2025）12-0001-06

Research and Comparison of Dust Storm ldentification Methods Based on FY-4A Satellite

ZHANG Xiang （InnerMongolia Autonomous Region Meteorological Data Center，Hohhot Oloo51，China）

Abstract： Satelite remote sensing technology is now widely used to monitor the dust storm process in space and time. Fengyun-4MeteorologicalSatelite（FY-4A）isanewgenerationof geostationaryremotesensingmeteorologicalsatelitesin China，ad itsMulti-channel Advanced GeosynchronousRadiation Imager （AGRIplaysanactiverole industidentificationin Asia.Severaldust recognitionmethods basedonsatelitedataincludingdustrecognition method basedonRGB images，BTD （Brightness TemperatureDierence），NDDI（NormalizedDiference Dust Index）andMachine Learing-baseddustetrieval methods，areapliedtotheL1dataof theFY-4AsateliteAGRItorealizetheidentificationofust.Through individualcase analysis，theexperimentalresultsarefurtherstudiedandcompared.Theresultsshowthatmostofthedustidentfcationmethods appliedtothFY-4Asatelitecandstinguishthesurface，cloudsandust，andthnidentifythedust.Fortheidentifcationethod basedophysicalcaracteristics，duettedifereceintebandsofdifrentsatelites，tetresholduiversalityis poo，and there arecases ofsmall dustidentificationand misjudgmentof dust in someareas.Basedonthe Machine Leaming method，it canefectivelyidentifythdustange，whichhasstrongapplicabilityandbroadaplicationprospects.Fialltheapplicationof satelite-based duststormidentificationmethodsissummarized，and further prospects fordustidentificationare given.

Keywords： FY-4A satellite; dust storm; RGB image; BTD; NDDI; Machine Learming

0 引言

沙尘暴是一种灾害性的天气现象，在全球气候变化中扮演着重要的角色，对人类的健康和生态系统产生了非常不利的影响，有可能造成人员伤亡和经济损失[1-2]。（剩余7708字）