[1] 苏城林, 苏林, 陈良富, 等. NPP VIIRS数据反演气溶胶光学厚度[J]. 遥感学报, 2015,19(6):977-989. [ SuC L, SuL, ChenL F, et al. Retrieval of aerosol optical depth using NPP VIIRS data[J]. Journal of Remote Sensing, 2015,19(6):977-989. ] [ Su C L, Su L, Chen L F, et al. Retrieval of aerosol optical depth using NPP VIIRS data[J]. Journal of Remote Sensing, 2015,19(6):977-989. ]
[2] 田信鹏, 孙林, 刘强, 等. 北京地区Landsat 8 OLI高空间分辨率气溶胶光学厚度反演[J]. 遥感学报, 2018,22(1):51-63. [ TianX P, SunL, LiuQ, et al. Retrieval of high-resolution aerosol optical depth using Landsat 8 OLI data over Beijing[J]. Journal of Remote Sensing, 2018,22(1):51-63. ] [ Tian X P, Sun L, Liu Q, et al. Retrieval of high-resolution aerosol optical depth using Landsat 8 OLI data over Beijing[J]. Journal of Remote Sensing, 2018,22(1):51-63. ]
[3] MuhammadB, JanetE N, MaxP B et al. A Simplified high-resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces[J]. Remote Sensing of Environment, 136, 135-145(2013).
[4] KaufmanY J, TanréD, GordonH R et al. Passive remote sensing of tropospheric aerosol and atmospheric correction for the aerosol effect[J]. Journal of Geophysical Research, 102, 16815-16830(1997).
[5] HsuC N, TsayS C, KingM D et al. Aerosol properties over Bright-Reflecting source regions[J]. IEEE Transactions on Geoscience and Remote Sensing, 42, 557-569(2004).
[6] DinerD J, MartonchikaJ V, KahnaR A et al. Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land[J]. Remote Sensing of Environment, 94, 155-171(2005).
[7] 陈辉, 厉青, 王中挺, 等. MERSI和MODIS卫星监测京津冀及周边地区PM2.5浓度[J]. 遥感学报, 2018,22(5):822-832. [ ChenH, LQ, WangZ T, et al. Utilization of MERSI and MODIS data to monitor PM2.5 concentration in Beijing-Tianjin-Hebei and its surrounding areas[J]. Journal of Remote Sensing, 2018,22(5):822-832. ] 2.5浓度[J].遥感学报,2018,22(5):822-832. [ Chen H, L Q, Wang Z T, et al. Utilization of MERSI and MODIS data to monitor PM2.5 concentration in Beijing-Tianjin-Hebei and its surrounding areas[J]. Journal of Remote Sensing, 2018,22(5):822-832. ]
[8] 张婕. 卫星气溶胶产品评估与融合改进及其在区域PM2.5浓度估算中的应用[D]. 兰州:兰州大学, 2016. [ ZhangJ. Assessment, mergence of satellite aerosol products, and their applications in estimating regional PM2.5 concentrations[D]. Lanzhou: Lanzhou University, 2016. ] 2.5浓度估算中的应用[D].兰州:兰州大学,2016. [ Zhang J. Assessment, mergence of satellite aerosol products, and their applications in estimating regional PM2.5 concentrations[D]. Lanzhou: Lanzhou University, 2016. ]
[9] 唐维尧, 鲍艳松, 张兴赢, 等. FY-3A/MERSI、MODIS C5.1和C6气溶胶光学厚度产品在中国区域与地面观测站点的对比分析[J]. 气象学报, 2018,76(3):449-460. [ TangW Y, BaoY S, ZhangX Y, et al. Comparison of FY-3A/MERSI,MODIS C5.1, C6 and AERONET aerosol optical depth in China[J]. Acta Meteorologica Sinica, 2018,76(3):449-460. ] [ Tang W Y, Bao Y S, Zhang X Y, et al. Comparison of FY-3A/MERSI,MODIS C5.1, C6 and AERONET aerosol optical depth in China[J]. Acta Meteorologica Sinica, 2018,76(3):449-460. ]
[10] 杨何群, 尹球, 周红妹, 等. 利用MATLAB实现FY-3/MERSI地表温度反演及专题制图[J]. 国土资源遥感, 2012,24(4):62-70. [ YangH Q, YinQ, ZhouH M, et al. Utilization of MATLAB to realize LST retrieval and thematic mapping from FY-3/MERSI Data[J]. Remote Sensing for Land＆Resources, 2012,24(4):62-70. ] [ Yang H Q, Yin Q, Zhou H M, et al. Utilization of MATLAB to realize LST retrieval and thematic mapping from FY-3/MERSI Data[J]. Remote Sensing for Land＆Resources, 2012,24(4):62-70. ]
[11] MuhammadB, JanetE N, PakW C. Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms[J]. Remote Sensing of Environment, 153, 50-60(2014).
[13] 朱爱军, 胡秀清, 林曼筠, 等. 风云三号D气象卫星全球数据获取方法及数据分发[J]. 海洋气象学报, 2018,38(3):1-10. [ ZhuA J, HuX Q, LinM J, et al. Global data acquisition methods and data distribution for FY-3D meteorological satellite[J]. Journal of Marine Meteorology, 2018,38(3):1-10. ] [ Zhu A J, Hu X Q, Lin M J, et al. Global data acquisition methods and data distribution for FY-3D meteorological satellite[J]. Journal of Marine Meteorology, 2018,38(3):1-10. ]
[14] 金诚. FY-3D卫星光谱成像仪陆上云检测算法研究[D]. 南京:南京信息工程大学, 2018. [ JinC. A Study on cloud detection algorithm of FY-3D spectral imager over land[D]. Nanjing: Nanjing University of Information Science and Technology, 2018. ] [ Jin C. A Study on cloud detection algorithm of FY-3D spectral imager over land[D]. Nanjing: Nanjing University of Information Science and Technology, 2018. ]
[15] 张帅, 师春香, 梁晓, 等. 风云三号积雪覆盖产品评估[J]. 遥感技术与应用, 2018,33(1):35-46. [ ZhangS, ShiC X, LiangX, et al. Assessment of FY-3 snow cover product[J]. Remote Sensing Technology and Application, 2018,33(1):35-46. ] [ Zhang S, Shi C X, Liang X, et al. Assessment of FY-3 snow cover product[J]. Remote Sensing Technology and Application, 2018,33(1):35-46. ]
[16] 汪洋, 陈良富, 李莘莘, 等. 基于VIIRS数据的中国东部气溶胶光学厚度反演算法改进[J]. 地球物理学报, 2019,62(1):49-62. [ WangY, ChenL F, LiS S, et al. VIIRS aerosol optical depth (AOD) retrieval algorithm improvement in eastern China[J]. Chinese Journal of Geophysics, 2019,62(1):49-62. ] [ Wang Y, Chen L F, Li S S, et al. VIIRS aerosol optical depth (AOD) retrieval algorithm improvement in eastern China[J]. Chinese Journal of Geophysics, 2019,62(1):49-62. ]
[17] 刘方伟, 苏庆华, 孙林, 等. 基于Himwari-8卫星的沙尘监测[J]. 山东科技大学学报(自然科学版), 2018,37(3):11-19. [ LiuF W, SuQ H, SunL, et al. Dust monitoring with the himawari-8 satellite[J]. Journal of Shandong University of Science and Technology (Natural Science), 2018,37(3):11-19. ] [ Liu F W, Su Q H, Sun L, et al. Dust monitoring with the himawari-8 satellite[J]. Journal of Shandong University of Science and Technology (Natural Science), 2018,37(3):11-19. ]
[18] 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):2939-2949. [ GaoD W, MaH, YuZ Y, et al. Monitoring haze events from the MODIS True-Color composite image series: A case study of severe haze pollution event in Zhejiang Province[J]. China Environmental Science, 2015,35(10):2939-2949. ] [ Gao D W, Ma H, Yu Z Y, et al. Monitoring haze events from the MODIS True-Color composite image series: A case study of severe haze pollution event in Zhejiang Province[J]. China Environmental Science, 2015,35(10):2939-2949. ]
