2019年

作者:时间:2021-04-13点击数:

 

[1] Lu She, Yong Xue, Xihua Yang, John Leys, Jie Guang, Yahui Che, Cheng Fan, Yanqing Xie, Ying Li, Joint Retrieval of Aerosol Optical Depth and Surface Reflectance over Land Using Geostationary Satellite Data. IEEE Transactions on Geoscience and Remote Sensing. Vol. 57, No. 3, March 2019, pp1489-1501. (DOI: 10.1109/TGRS.2018.2867000) (IF: 5.630)

[2] Ying Li, Yong Xue, Jie Guang, Gerrit de Leeuw, Richard Self, Lu She, Cheng Fan, Yanqing Xie, Guili Chen,2019, Spatial and temporal distribution characteristics of haze days and associated factors in China from 1973 to 2017. Atmospheric Environment, Volume 214, 1 October 2019, (https://doi.org/10.1016/j.atmosenv.2019.116862) (IF: 4.012)

[3] Haixia Bi, Feng Xu, Zhiqiang Wei, Yong Xue, and Zongben XuAn Active Deep Learning Approach for Minimally-Supervised PolSAR Image Classification. IEEE Transactions on Geoscience and Remote Sensing, Volume: 57, Issue:11, November 2019, Page(s): 9378-9395. (DOI: 10.1109/TGRS.2019.2926434). (IF: 5.630)

[4] Zheng Shi, Tingyan Xing, Jie Guang, Yong Xue, Yahui Che, 2019, Aerosol Optical Depth over the Arctic Snow- Covered Regions Derived from Dual-Viewing Satellite Observations. Remote Sens. 2019, 11(8), 891; (doi: 10.3390/rs11080891) (IF: 4.118)

[5] Yahui Che, Jie Guang, Gerrit de Leeuw, Yong Xue, Ling Sun, and Huizheng Che, 2019, Investigations into the Development of a Satellite-Based Aerosol Climate Data Record using ATSR-2, AATSR and AVHRR data. Atmospheric Measurement Techniques, 12, 4091–4112, (26 July 2019). (https://doi.org/10.5194/amt-12-4091-2019). (IF: 3.400)

[6] Jia Liu, Yong Xue, Kaijun Ren, Junqiang Song, Christopher Windmill, Patrick Merritt, 2019, High Performance Time Series Quantitative Retrieval from Satellite Images on a GPU Cluster. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (DOI: 10.1109/JSTARS.2019.2920077). (IF: 3.392)

[7] Patrick Merritt, Haixia Bi, Bradley Davis, Christopher Windmill & Yong Xue, (2019): Big Earth Data: a comprehensive analysis of visualization analytics issues. Big Earth Data, 26 Feb 2019 (https://doi.org/10.1080/20964471.2019.1576260)

[8] Yahui Che, Yong Xue, Jie Guang, Lu She, Jianping Guo, 2018, Evaluation of the AVHRR DeepBlue aerosol optical depth dataset over mainland China. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 146, December 2018, Pages 74-90. (https://doi.org/10.1016/j.isprsjprs.2018.09.004) (IF: 6.942)

[9] Li D, Qin K*, et al. Evaluation of JAXA Himawari-8-AHI Level-3 Aerosol Products over Eastern China. Atmosphere, 2019, 10, 215.

[10] Chen W, Tian H, Qin K*, Black Carbon Aerosol in the Industrial City of Xuzhou, China: Temporal Characteristics and Source Appointment, Aerosol and Air Quality Research, 2019,19 (4): 794-811

[11] Fan W, Qin K*Xu J, et al. Aerosol vertical distribution and sources estimation at a site of the Yangtze River Delta region of China, Atmospheric Research, 2019, 217, 128-136.

[12] Cui, T., Martz, L., Lamb, E. G., Zhao, L., & Guo, X. (2019). Comparison of Grassland Phenology Derived from MODIS Satellite and PhenoCam Near-Surface Remote Sensing in North America. Canadian Journal of Remote Sensing, 45(5), 707-722.

[13] Xiran Zhou. (2019). SRC: Transferring scale-independent features to support multi-scale object recognition with deep convolutional neural network. SIGSPATIAL Special, 10(3), 10-11.

[14] Xiran Zhou, Wenwen Li, Samantha T. Arundel. (2019). A spatio-contextual probabilistic model for extracting linear features in hilly terrains from high-resolution DEM data. International Journal of Geographical Information Science, 33(4), 666-686. (SCI/SSCI, JCR一区)

 

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