2023年

[1] Wang, X.; Xue, Y.; Sun, Y.; Jin, C.; Wu, S. An Improved Geographically and Temporally Weighted Regression for Surface Ozone Estimation from Satellite-Based Precursor Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 16, 2023, 10287-10300. https://doi.org/10.1109/JSTARS.2023.3327881. (Corresponding author)

[2] Zhang, S.; Xue, Y.; Tang, Y.; Zhu, R.; Jiang, X.; Niu, C.; Yin, W. Feature Scalar Field Grid-Guided Optical-Flow Image Matching for Multi-View Images of Asteroid. Remote Sens. 2023, 15, 5786. https://doi.org/10.3390/rs15245786

[3] Sheng Zhang, Yong Xue, Heng Zhang, Xiran Zhou, Kaiyuan Li, Runze Liu, 2023, Improved Hungarian Algorithm-based Task Scheduling Optimization Strategy for Remote Sensing Big Data Processing. Geo-spatial Information Science, (https://doi.org/10.1080/10095020.2023.2178339 ).

[4] Wu, S.; Xue, Y.; Sun, Y.; Jin, C.; Zhang, M.; Jiang, X.; Lu, X. Spatial and Temporal Variation of Aerosol Optical Depth in Huaihai Economic Zone from 1982 to 2021. Atmosphere 2023, 14, 822. https://doi.org/10.3390/atmos14050822

[5] Yin,W.; Niu, C.; Bai, Y.; Zhang, L.; Ma, D.; Zhang, S.; Zhou, X.; Xue, Y. An Adaptive Identification Method for Potential Landslide Hazards Based on Multisource Data. Remote Sens. 2023, 15, 1865. https://doi.org/10.3390/rs15071865

[6] Jinchang Deng, José L. Torero Cullen, Yong Xue, Fubao Zhou and Bobo Shi, 2023, Spatial-temporal analysis of coal fire risk identification and suppression assessment with satellite time series mapping 2013-2020 in Midong coalfield, Xinjiang, China. International Journal of Remote Sensing, Vol. 44, No. 7, 2236-2272. (https://doi.org/10.1080/01431161.2023.2197133)

[7] C.A. Varotsos, G.S. Golitsyn, Y. Xue, M. Efstathiou, N. Sarlis & T. Voronova (2023) On the relation between rain, clouds, and cosmic rays, Remote Sensing Letters, 14:3, 301-312, DOI: 10.1080/2150704X.2023.2190468

[8] Li, S.;Wang, C.; Gao, P.; Zhao, B.; Jin, C.; Zhao, L.; He, B.; Xue, Y. High-Spatial-Resolution Methane Emissions Calculation Using TROPOMI Data by a Divergence Method. Atmosphere 2023, 14, 388. https://doi.org/10.3390/atmos14020388