基于FY-4A衛(wèi)星的沙塵暴識(shí)別方法研究與比較

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中圖分類(lèi)號(hào)：TN92；P405 文獻(xiàn)標(biāo)識(shí)碼：A

文章編號(hào)：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

沙塵暴是一種災(zāi)害性的天氣現(xiàn)象，在全球氣候變化中扮演著重要的角色，對(duì)人類(lèi)的健康和生態(tài)系統(tǒng)產(chǎn)生了非常不利的影響，有可能造成人員傷亡和經(jīng)濟(jì)損失[1-2]。（剩余7708字）