发表论文
1.Cha, M., Pang, X.*, & Antoine, D. (2025). Development of Parameter-Tuned Algorithms for Chlorophyll-a Concentration Estimates in the Southern Ocean. Remote Sensing, 17(21), 3595. https://doi.org/10.3390/rs17213595
2.Cha, M., Pang, X., Li, J., Ban, W., & Wang, Y. (2025). Environmental drivers of the spatio-temporal variations of chlorophyll-a within the coastal polynya in the Ross Sea. Geo-Spatial Information Science, 1-16. https://doi.org/10.1080/10095020.2025.2586985
3. Li, J*., Matsuoka, A., Devred, E., Hooker, S.B, Pang, X.; &Babin, M. (2025). A novel GSM and fluorescence coupled full-spectral chlorophyll a algorithm for waters with high CDM content. Remote Sensing of Environment,321, 114667. https://doi.org/10.1016/j.rse.2025.114667
4.Li, J., Matsuoka, A., Pang, X.*, Massicotte, P., & Babin, M. (2024). Performance of Algorithms for Retrieving Chlorophyll a Concentrations in the Arctic Ocean: Impact on Primary Production Estimates. Remote Sensing, 16(5), 892. https://doi.org/10.3390/rs16050892
5.Yan, Z., Ji, Q., He, B., Chen, Y., Wang, Y., & Pang, X.* (2024). A combined multi-source data and deep learning approach for retrieving snow depth on Antarctic Sea ice during the melting season. International Journal of Digital Earth, 17(1). https://doi.org/10.1080/17538947.2024.2376260
6.Chen, Y., Pang, X.*, Ji, Q.* et al. Retrieval of Antarctic sea ice freeboard and thickness from HY-2B satellite altimeter data. Acta Oceanol. Sin. 43, 87-101 (2024). https://doi.org/10.1007/s13131-023-2250-2
7.Li, J., Matsuoka, A., Hooker, S.B., Maritorena, S., Pang, X., & Babin, M. *(2023). A tuned ocean color algorithm for the Arctic Ocean: a solution for waters with high CDM content. Optics express, 31(23), 38494-38512. https://doi.org/10.1364/OE.500340
8.Pang, X., Zhang, C., Ji, Q.*, Chen, Y., Zhen, Z., Zhu, Y., & Yan, Z. (2023). Analysis of sea ice conditions and navigability in the Arctic Northeast Passage during the summer from 2002-2021. Geo-Spatial Information Science, 26(3), 465–479. https://doi.org/10.1080/10095020.2022.2124128
9.Liang, Zeyu; Ji, Qing; Pang, Xiaoping*; Fan, Pei; Yao, Xuedong; Chen, Yizhuo; Chen, Ying; Yan, Zhongnan. (2023). Estimation of Daily Arctic Winter Sea Ice Thickness from Thermodynamic Parameters Using a Self-Attention Convolutional Neural Network. Remote Sensing, 15(7), 1887. https://doi.org/10.3390/rs15071887
10.Wang, Y., Ji, Q., Pang, X.*, Qu, M., Cha, M., Zhang, F., Yan, Z., & He, B. (2023). Distribution Characteristics and Influencing Factors of Sea Ice Leads in the Weddell Sea, Antarctica. Remote Sensing, 15(23), 5568. https://doi.org/10.3390/rs15235568
11.Zhang, F., Lei, R.*, Zhai, M., Pang, X., and Li, N.(2023). The impacts of anomalies in atmospheric circulations on Arctic sea ice outflow and sea ice conditions in the Barents and Greenland seas: case study in 2020, The Cryosphere, 17, 4609-4628, https://doi.org/10.5194/tc-17-4609-2023
12.Chen, Y., Lei, R., Zhao, X., Wu, S., Liu, Y., Fan, P., Ji, Q., Zhang, P., and Pang, X.*(2023). A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors, Earth Syst. Sci. Data, 15, 3223-3242, https://doi.org/10.5194/essd-15-3223-2023
13.Chen, Ying; Lei, Ruibo; Zhao, Xi; Wu, Shengli; Liu, Yue; Fan, Pei; Ji, Qing; Zhang, Peng; Pang, Xiaoping*.(2023).A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors, Earth System Science Data, 15, 3223-3242, https://doi.org/10.5194/essd-15-3223-2023
14.Pang, X., Liu, C., Zhao, X., He, B., Fan, P., Liu, Y., Qu, M., & Ding, M.* (2022). Application of Machine Learning for Simulation of Air Temperature at Dome A. Remote Sensing, 14(4), 1045. https://doi.org/10.3390/rs14041045
15.Fan, P., Zhao, X., Qu, M., Yan, Z., Chen, Y., Liang, Z., & Pang, X. *(2022). Evaluation of the relationships and uncertainties of airborne and ground-based sea ice surface temperature measurements against remotely sensed temperature records. International Journal of Digital Earth, 15(1), 1989-2005. https://doi.org/10.1080/17538947.2022.2143585
16.Pang, X., Chen, Y., Ji, Q.*, Li, G., Shi, L., Lan, M., & Liang, Z. (2022). An Improved Algorithm for the Retrieval of the Antarctic Sea Ice Freeboard and Thickness from ICESat-2 Altimeter Data. Remote Sensing, 14(5), 1069. https://doi.org/10.3390/rs14051069
17.Liang, Z., Pang, X.*, Ji, Q., Zhao, X., Li, G., & Chen, Y. (2022). An Entropy-Weighted Network for Polar Sea Ice Open Lead Detection From Sentinel-1 SAR Images. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-14.https://doi.org/10.1109/TGRS.2022.3169892
18.Liu, Y., Pang, X.*, Zhao, X., Stein, A., Zhang, X., Ji, Q., Qu, M., & Dong, J. (2021). Prediction of the Antarctic marginal ICE zone extent based upon its multifractal property. Fractals, 29(2), Article 2150035. https://doi.org/10.1142/S0218348X21500353
19.Liu, Y., Pang, X.*, Zhao, X., Stein, A., Zhang, X., Ji, Q., Qu, M., & Dong, J. (2021). Prediction of the Antarctic marginal ICE zone extent based upon its multifractal property. Fractals, 29(2), Article 2150035. https://doi.org/10.1142/S0218348X21500353
20.Ji, Q., Liu, Y., Pang, X. et al. (2021).Characterization of sea ice and its snow cover in the Arctic Pacific sector during the summer of 2016. Acta Oceanol. Sin. 40, 33-42 . https://doi.org/10.1007/s13131-021-1716-3
21.Ji, Q.*, Pang, X., Zhao, X., & Lei, R. (2021). Snow features on sea ice in the western Arctic Ocean during summer 2016. International Journal of Digital Earth, 14(10), 1397-1410. https://doi.org/10.1080/17538947.2021.1966524
22.Qu, M., Pang, X., Zhao, X.*, Lei, R., Ji, Q., Liu, Y., & Chen, Y. (2021). Spring leads in the Beaufort Sea and its interannual trend using Terra/MODIS thermal imagery. Remote Sensing of Environment, 256, 112342. https://doi.org/10.1016/j.rse.2021.112342
23.Fan, P., Pang, X., Zhao, X.*, Shokr, M., Lei, R., Qu, M., Ji, Q., & Ding, M. (2020). Sea ice surface temperature retrieval from Landsat 8/TIRS: Evaluation of five methods against in situ temperature records and MODIS IST in Arctic region. Remote Sensing of Environment, 248, 111975. https://doi.org/10.1016/j.rse.2020.111975
24.Gui, D., Lei, R.*, Pang, X., Hutchings, J. K., Zuo, G., & Zhai, M. (2020). Validation of remote-sensing products of sea-ice motion: a case study in the western Arctic Ocean. Journal of Glaciology, 66(259), 807–821. doi:10.1017/jog.2020.49
25.Liu, H.*, Bai, X., & Pang, X. (2020). Intercity variability and local factors influencing the level of pesticide residues in marketed fruits and vegetables of China. Science of The Total Environment, 700, 134481. https://doi.org/10.1016/j.scitotenv.2019.134481
26.Cheng, Z., Pang, X., Zhao, X.*, & Stein, A. (2019). Heat Flux Sources Analysis to the Ross Ice Shelf Polynya Ice Production Time Series and the Impact of Wind Forcing. Remote Sensing, 11(2), 188. https://doi.org/10.3390/rs11020188
27.Gui, D., Pang, X., Lei, R*. et al. Changes in sea ice kinematics in the Arctic outflow region and their associations with Arctic Northeast Passage accessibility. Acta Oceanol. Sin. 38, 101-110 (2019). https://doi.org/10.1007/s13131-019-1451-1
28.Qu, M., Pang, X., Zhao, X.*, Zhang, J., Ji, Q., and Fan, P.(2019). Estimation of turbulent heat flux over leads using satellite thermal images, The Cryosphere, 13, 1565-1582, https://doi.org/10.5194/tc-13-1565-2019
29.Jiang, M.*, Pang, X., Wang, J., & Cao, C. (2018). Islands ecological integrity evaluation using multi sources data. Ocean & Coastal Management,158,134-143. https://doi.org/10.1016/j.ocecoaman.2018.03.033
30.Pang, X., Pu, J., Zhao, X.*, Ji, Q.*, Qu, M., & Cheng, Z. (2018). Comparison between AMSR2 Sea Ice Concentration Products and Pseudo-Ship Observations of the Arctic and Antarctic Sea Ice Edge on Cloud-Free Days. Remote Sensing, 10(2), 317. https://doi.org/10.3390/rs10020317
31.Liu, Q., Ji, Q.*, Pang, X., Gao, X., Zhao, X., & Lei, R. (2018). Inter-Calibration of Passive Microwave Satellite Brightness Temperatures Observed by F13 SSM/I and F17 SSMIS for the Retrieval of Snow Depth on Arctic First-Year Sea Ice. Remote Sensing, 10(1), 36. https://doi.org/10.3390/rs10010036
32.Cheng, Z., Pang, X., Zhao, X.*, & Tan, C. (2017). Spatio-Temporal Variability and Model Parameter Sensitivity Analysis of Ice Production in Ross Ice Shelf Polynya from 2003 to 2015. Remote Sensing, 9(9), 934. https://doi.org/10.3390/rs9090934
33.Li, J., Feng, L.*, Pang, X., Gong, W., & Zhao, X. (2016). Radiometric cross Calibration of Gaofen-1 WFV Cameras Using Landsat-8 OLI Images: A Simple Image-Based Method. Remote Sensing, 8(5), 411. https://doi.org/10.3390/rs8050411
34.Feng, L.*, Li, J., Gong, W., Zhao, X., Chen, X., & Pang, X. (2016). Radiometric cross-calibration of Gaofen-1 WFV cameras using Landsat-8 OLI images: A solution for large view angle associated problems. Remote Sensing of Environment, 174, 56-68. https://doi.org/10.1016/j.rse.2015.11.031