2018年

作者:时间:2021-04-13点击数:

[1] Ying Li, Yong Xue, Jie Guang, Linlu Mei, She Lu, Cheng Fan, Guili Chen, 2018, Ground-Level PM2.5 Concentration Estimation from Satellite Data in the Beijing Area Using a Specific Particle Swarm Extinction Mass Conversion Algorithm. Remote Sensing, 10, 1906 (doi:10.3390/rs10121906) (IF: 3.406)

[2] Lu She, Yong Xue, Jie Guang, Yahui Che, Cheng Fan, Ying Li, and Yanqing Xie: Towards a comprehensive view of dust events from multiple satellite and ground measurements: exemplified by the May 2017 East Asian dust storm. Natural Hazards and Earth System Sciences, 18, 1–15, 2018 (https://doi.org/10.5194/nhess-18-1-2018) (IF: 2.281)

[3] Yanqing Xie, Yong Xue, Yahui Che, Jie Guang, Linlu Mei, Dave Voorhis, Cheng Fan, Lu She, and Hui Xu, 2018, Ensemble of ESA/AATSR AOD products based on the likelihood estimate method with uncertainties. IEEE Transactions on Geoscience and Remote Sensing. Volume: 56, Issue:2 (February 2018), Page(s): 997-1007 (DOI:10.1109/TGRS.2017.2757910) (IF: 4.942)

[4] Larisa Sogacheva, Gerrit de Leeuw, Edith Rodriguez, Pekka Kolmonen, Aristeidis K. Georgoulias, Georgia Alexandri, Konstantinos Kourtidis, Emmanouil Proestakis, Eleni Marinou, Vassilis Amiridis, Yong Xue, and Ronald J. van der A, Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017). Atmos. Chem. Phys., 18, 11389–11407, 2018 (https://doi.org/10.5194/acp-18-11389-2018) (IF: 5.509)

[5] Yahui Che, Linlu Mei, Yong Xue, Jie Guang, Lu She, Ying Li, 2018, Validation of aerosol products from AATSR and MERIS/AATSR synergy algorithms - Part 1: global evaluation. Remote Sensing, 10(9), 1414. (https://doi.org/10.3390/rs10091414) (IF: 3.406)

[6] Lu She, Yong Xue, Xihua Yang, Jie Guang, Ying Li, Yahui Che, Cheng Fan, Yanqing Xie, “Dust detection and dust intensity estimation using Himawari-8/AHI observation”. Remote Sensing 2018, 10, 490. (doi:10.3390/rs10040490) (IF: 3.244)

[7] Guili Chen, Jie Guang, Yong Xue, Ying Li, Yahui Che, and Shaoqi Gong, 2018, A Physical-based PM2.5 Estimation Method Using AERONET Data in Beijing Area. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 11 Issue: 6 (June 2018), pp.1957-1965. (DOI: 10.1109/JSTARS.2018.2817243). (IF: 2.913)

[8] Gerrit de Leeuw, Larisa Sogacheva, Edith Rodriguez, Konstantinos Kourtidis, Aristeidis K. Georgoulias, Georgia Alexandri, Vassilis Amiridis, Emmanouil Proestakis, Eleni Marinou, Yong Xue, and Ronald van der A, Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns. Atmos. Chem. Phys., 18, 1573-1592, 2018 (https://doi.org/10.5194/acp-18-1573-2018) (IF: 5.318)

[9] Qin K*, et al. Estimating PM1 concentrations from MODIS over Yangtze River Delta of China during 2014–2017. Atmospheric Environment, 2018, 195:149-158.

[10] Qin K*, et al. Haze Optical Properties from Long-Term Ground-Based Remote Sensing over Beijing and Xuzhou, China. Remote Sensing, 2018, 10(4):518.

[11] Zou J, Qin K*, et al.Investigating aloft aerosols over central-eastern china using CALIPSO measurements, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W5, 2018, 83–88.

[12] Huali Li, Jun Liu, Xiran Zhou*. (2018). Intelligent Map Reader: A Framework for Topographic Map Understanding with Deep Learning and Gazetteer. IEEE Access, 6, 25363-25376. (SCI, JCR一区)

[13] 樊文智,秦凯*. 基于移动激光雷达观测的徐州市区气溶胶分布特征. 中国环境科学,201838(8): 2857-2864.

 

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