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第1期 向嘉敏等:灰霾遥感监测研究进展 (3)研究内容方面。已开展了大量有关灰霾空[7] Liu Yonghong. Research on Haze Identification in Beijing 间分布与时间变化的研究工作,但对于灰霾形成机 based on NOAA/AVHRR Satellite Data LJ. Meteorological 制探究尚不够深入,未来应深入加强灰霾颗粒物的 Monthly,2014,40(5):619-627.[刘勇洪.基于NOAA/ AVHRR卫星资料的北京地霾识别研究[J].气象,2014, 物理化学性质分析,探讨其组分变化及相互作用对 遥感成像过程与图像特征的影响机理,奠定发展灰8] Gao dawei, Ma hao, Yu Zhenyan,tal. Monitoring haze 霾遥感监测物理模型的研究基础 vents from the MoDis True-Color Composite Image Serie 系统集成与业务方面,借助于互联网、大数据和 A Case Study of Severe Haze Pollution Event in Zhejiang 人工智能等先进技术,收集与灰霾研究相关的指标 Province [J]. China Environmental Science, 2015, 35(10) 2939-2949.[高大伟,马浩,郁珍艳,等基于连续MODS真彩 数据,建立灰霾遥感监测与模式模拟、预报系统,开 图的霾监测预警新方法—以浙江省一次严重霾污染过程为 展高精度灰霾时空分布监测、可能运移路径与影响 例[]中国环境科学,2015,35(10):2939-2949.] 预报预警,为灰霾污染控制与大气污染治理提供依[9] Feng haixia, Sun dazhi, Shen li,eta. The Analysis of Smog 据,是灰霾遥感监测业务应用的重要环节也是未来 Impacted on the Measured Spectral Curve of the Main ground 发展的重要方向。 ObjectLJI. Spectroscopy and Spectral Analysis, 2017, 37(5) 1329-133冯海霞,孙大志,沈丽,等雾霾对典型地物光谱曲 参考文献( References) 线测量的影响分析[].光谱学与光谱分析,2017,37(5): 1329-1333. LI Wu Dui. A Discussion on Difference between Haze and Fog [10] Lu Yongshuai, Li Yuanxiang, Liu Bo,et al. Hyperspectral Da- and Warning of Ash Haze Weather[J]. Meteorological Month- Haze Monitoring based on Deep Residual NetworkLJAct ly,2015,31(4):3-7.[吴兑关于霾与雾的区别和灰霾天气预 Optica Sinica,2017,37(11):1-1.陆永帅,李元祥,刘波,等 警的讨论[]气象,2015,31(4):3-7] 基于深度残差网络的高光谱遥感数据监测霾[]光学学报, [2] He Yuexin, Zhang Xuelei. Chen Weiwei, et al. Spatial-tempo- 2017,37(11):1-11. a Characteristics of Regional Air Quality in Northeastern [11] Zhang Y, Guindon B Cihlar J. An Image Transform to Char- China based on Multi-satellites Aerosol Products[JI. Acta Sci- acterize and Compensate for Spatial Variations in Thin Cloud entia Circumstantiate, 2018, 38(2): [何月欣,张学 Contamination of Landsat Images[J]. Remote Sensing of En- 磊,陈卫卫,等.基于多卫星遥感的东北地区霾污染时空特征 ronment,2002,82(2):173-187. 研究[J]环境科学学报,2018,38(2):607-617.] [12] Crist E P A Spectral Haze Diagnostic Feature for Normalizing [3 Ge Wei Chen Liangfu, Si Yidanet al. Haze Spectral Analysis Landsat Thematic Mapper Data[CI//International Symposi- and Detection Algorithm Using Satellite Remote Sensing Data n Remote Sensing of Environment, 18 h, Paris, F LJI Spectroscopy and Spectral Analysis, 2016, 36(12)13817- October1-5,1984:735-744 3824.[葛巍陈良富,司一丹,等霾光谱特性分析与卫星遥感[13]JiCY. Haze reduction from the visible bands of landsat tm 识别算法[光谱学与光谱分析,2016,36(12):3817-3824.] and ETM+ Images over A Shallow Water Reef Environment [4] Mao Jietai, Li Chengcai, Zhang Junhua,et al. The Comparison LJ. Remote Sensing of Environment, 2008, 112(4):1773- of Remote Sensing Aerosol Optical Depthfrom MODIS Data 1783 and Ground Sun-photometer Observations[JJ. Journal of Ap- [14] Wen X P. Yang X F Haze Removal from the Visible Bands of plied Meteorological Science,2002,13(1):127-135.[毛节泰, CBERS Remote Sensing Data[C]//International Conference 李成才,张军华,等.MODⅠS卫星遥感北京地区气溶胶光学厚 on Industrial and Information Systems, Haikou, China, Apr. 度及与地面光度计遥感的对比[]应用气象学报,2002,13 24-25,2009:118-121. (1):127-135.] [15 Hu J, Wei C, Li X,et al. 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Meteorological Monthly, [17] Richter R A Spatially Adaptive Fast Atmospheric Correction 199824(26):27-29.[兰措,张永新冬季西宁市区上空阴霾的 AlgorithmLJ] International Journal of Remote Sensing, 1996 监测与分析[气象,199824(26):27-29. 17:1201-121(3)研究内容方面.已开展了大量有关灰霾空 间分布与时间变化的研究工作,但对于灰霾形成机 制探究尚不够深入,未来应深入加强灰霾颗粒物的 物理化学性质分析,探讨其组分变化及相互作用对 遥感成像过程与图像特征的影响机理,奠定发展灰 霾遥感监测物理模型的研究基础. 系统集成与业务方面,借助于互联网、大数据和 人工智能等先进技术,收集与灰霾研究相关的指标 数据,建立灰霾遥感监测与模式模拟、预报系统,开 展高精度灰霾时空分布监测、可能运移路径与影响 预报预警,为灰霾污染控制与大气污染治理提供依 据,是灰霾遥感监测业务应用的重要环节也是未来 发展的重要方向. 参考文献(References): [1] WuDui.A DiscussiononDifferencebetween HazeandFog andWarningofAshHazeWeather[J].MeteorologicalMonthG ly,2015,31(4):3G7.[吴兑.关于霾与雾的区别和灰霾天气预 警的讨论[J].气象,2015,31(4):3G7.] [2] HeYuexin,ZhangXuelei,Chen Weiwei,etal.SpatialGtempoG ralCharacteristicsofRegionalAir Qualityin Northeastern ChinabasedonMultiGsatellitesAerosolProducts[J].ActaSciG entiaeCircumstantiate,2018,38(2):607G617.[何 月 欣,张 学 磊,陈卫卫,等.基于多卫星遥感的东北地区霾污染时空特征 研究[J].环境科学学报,2018,38(2):607G617.] [3] GeWei,ChenLiangfu,SiYidan,etal.HazeSpectralAnalysis andDetectionAlgorithm UsingSatelliteRemoteSensingData [J].SpectroscopyandSpectralAnalysis,2016,36(12):3817G 3824.[葛巍,陈良富,司一丹,等.霾光谱特性分析与卫星遥感 识别算法[J].光谱学与光谱分析,2016,36(12):3817G3824.] [4] MaoJietai,LiChengcai,ZhangJunhua,etal.TheComparison ofRemoteSensingAerosolOpticalDepthfrom MODISData andGroundSunGphotometerObservations[J].JournalofApG pliedMeteorologicalScience,2002,13(l):127G135.[毛 节 泰, 李成才,张军华,等.MODIS卫星遥感北京地区气溶胶光学厚 度及与地面光度计遥感的对比[J].应 用 气 象 学 报,2002,13 (l):127G135.] [5] SiegenthalerR,BaumgartnerM F.AnalysesofHazeandMist SituationsoverSwissLowlandsduringSummerSmogGperiods withNOAAGAVHRR Data[C]∥IEEE GeoscienceandReG moteSensingSymposium,Firenze,Italy,July10G14,1995,3: 1842G1844. [6] LanCuo,ZhangYongxin.MonitoringandAnalysingSmogin theGroundlayerAtmosphereoverXiningCityduringWinter with Remote SensingImage[J].Meteorological Monthly, 1998,24(26):27G29.[兰措,张永新.冬季西宁市区上空阴霾的 监测与分析[J].气象,1998,24(26):27G29.] [7] Liu Yonghong.Research on HazeIdentificationin Beijing basedon NOAA/AVHRR SatelliteData[J].Meteorological Monthly,2014,40(5):619G627.[刘 勇 洪.基 于 NOAA/ AVHRR卫星 资 料 的 北 京 地 霾 识 别 研 究 [J].气 象,2014, 40(5):619G627.] [8] GaoDawei,MaHao,YuZhenyan,etal.MonitoringHazeEG ventsfromtheMODISTrueGColorCompositeImageSeries: A CaseStudyofSevere HazePollution EventinZhejiang Province[J].China EnvironmentalScience,2015,35(10): 2939G2949.[高大伟,马浩,郁珍艳,等.基于连续 MODIS 真彩 图的霾监测预警新方法———以浙江省一次严重霾污染过程为 例[J].中国环境科学,2015,35(10):2939G2949.] [9] FengHaixia,SunDazhi,ShenLi,etal.TheAnalysisofSmog ImpactedontheMeasuredSpectralCurveoftheMainGround Object[J].SpectroscopyandSpectralAnalysis,2017,37(5): 1329G1333.[冯海霞,孙大志,沈丽,等.雾霾对典型地物光谱曲 线测量 的 影 响 分 析 [J].光 谱 学 与 光 谱 分 析,2017,37(5): 1329G1333.] [10] LuYongshuai,LiYuanxiang,LiuBo,etal.HyperspectralDaG taHazeMonitoringbasedonDeepResidualNetwork[J].Acta OpticaSinica,2017,37(11):1G11.[陆永帅,李元祥,刘波,等. 基于深度残差网络的高光谱遥感数据监测霾[J].光学学报, 2017,37(11):1G11.] [11] ZhangY,GuindonB,CihlarJ.AnImageTransformtoCharG acterizeandCompensateforSpatialVariationsinThinCloud ContaminationofLandsatImages[J].RemoteSensingofEnG vironment,2002,82(2):173G187. [12] CristEP.ASpectralHazeDiagnosticFeatureforNormalizing LandsatThematicMapperData[C]∥InternationalSymposiG umonRemoteSensingofEnvironment,18th,Paris,France, October1G5,1984:735G744. [13] JiCY.HazeReductionfromtheVisibleBandsofLandsatTM andETM+ImagesoverAShallow WaterReefEnvironment [J].RemoteSensingofEnvironment,2008,112(4):1773G 1783. [14] WenXP,YangXF.HazeRemovalfromtheVisibleBandsof CBERSRemoteSensingData[C]∥InternationalConference onIndustrialandInformationSystems,Haikou,China,Apr. 24G25,2009:118G121. [15] HuJ,WeiC,LiX,etal.A HazeRemovalModuleforMutlisG pectralSatelliteImagery[C]∥JointUrbanRemoteSensing Event,Shanghai,China,May20G22,2009:1G4. [16] KauthRJ,ThomasGS.TheTasseledCap:A GraphicDeG scriptionoftheSpectralGTemporalDevelopmentofAgriculG turalCropsasSeenbyLandsat[C]∥ProceedingoftheSymG posiumonMachineProcessingofRemotelySensedData,PurG dueUniversity,WestLafayette,Indiana,June29GJuly1,1976. [17] RichterR.ASpatiallyAdaptiveFastAtmosphericCorrection Algorithm[J].InternationalJournalofRemoteSensing,1996, 17:1201G1214. 第1期 向嘉敏等:灰霾遥感监测研究进展 17
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