发表论文
[1] Ji Qing*, Pang Xiaoping, Zhao Xi, Lei Ruibo. Snow features on sea ice in the western Arctic Ocean during summer 2016, International Journal of Digital Earth, 2021, 14(10): 1397-1410. doi: 10.1080/17538947.2021.1966524.
[2] Pang Xiaoping, Chen Yizhuo, Ji Qing*, Li Guoyuan, Shi Lijian, Lan Musheng, Liang Zeyu. An Improved Algorithm for the Retrieval of the Antarctic Sea Ice Freeboard and Thickness from ICESat-2 Altimeter Data. Remote Sensing, 2022: 14(5): 1069. doi: 10.3390/rs14051069.
[3] Zhao Xi, Chen Ying, Stefan Kern, Qu Meng, Ji Qing*, Fan Pei, Liu Yue. Sea Ice Concentration Derived From FY-3D MWRI and Its Accuracy Assessment. IEEE Transactions on Geoscience and Remote Sensing, 2022, 99: 1-18. doi: 10.1109/TGRS.2021.3063272.
[4] Liang Zeyu, Pang Xiaoping, Ji Qing*, Zhao Xi, Li Guoyuan, Chen Yizhuo. An Entropy-Weighted Network for Polar Sea Ice Open Lead Detection From Sentinel-1 SAR Images. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-14. doi: 10.1109/TGRS.2022.3169892.
[5] Pang Xiaoping, Zhang Chenlei, Ji Qing, Chen Yizhuo, Zen Zhen, Zhu Yaming, Yan Zhongnan. Analysis of sea ice conditions and navigability in the Arctic Northeast Passage during the summer from 2002-2021. Geo-spatial Information Science, 2022: 1-15. doi: 10.1080/10095020.2022.2124128.
[6] Ji Qing*, Li Bingjie, Pang Xiaoping, Zhao Xi, Lei Ruibo. Arctic sea ice density observation and its impact on sea ice thickness retrieval from CryoSat-2. Cold Regions Science and Technology, 2021, 181: 103177. doi: 10.1016/j.coldregions.2020.103177.
[7] Ji Qing, Liu Ying, Pang Xiaoping, Pan Yue, Zhao Xi*. Characterization of sea ice and its snow cover in the Arctic Pacific sector during the summer of 2016. Acta Oceanologica Sinica, 2021, 40(1): 1–10. doi: 10.1007/s13131-021-1716-3.
[8] Ji Qing, Li Fei*, Pang Xiaoping, Luo Cong. Statistical analysis of SSMIS sea ice concentration threshold at the Arctic sea ice edge during summer based on MODIS and ship-based observational data. Sensors, 2018, 18(4): 1109. doi:10.3390/s18041109.
[9] Ji Qing, Pang Xiaoping, Zhao Xi*. A bibliometric analysis of research on Antarctica during 1993-2012. Scientometrics, 2014, 101: 1925–1939. doi: 10.1007/s11192-014-1332-5.
[10] Liu Qingquan, Ji Qing*, Pang Xiaoping, Gao Xin, Zhao Xi, Lei Ruibo. 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, 2018, 10 (1): 36. doi:10.3390/rs10010036.
[11] Pang Xiaoping, Pu Jian, Zhao Xi*, Ji Qing*, Qu Meng, Cheng Zian. 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, 2018, 10 (2): 317. doi:10.3390/rs10020317.
[12] Zhang Chenlei, Ji Qing*, Pang Xiaoping, Su Jie, Liu Chang. Comparison of passive microwave remote-sensing snow-depth products on Arctic sea ice. Polar Research, 2019, 38: 3432. doi: 10.33265/polar.v38.3432.
[13] Pang Xiaoping, Gao Xiang, Ji Qing*. Comparison of sea ice classification methods based on satellite scatterometer and radiometer data in the Weddell Sea, Antarctica. Antarctic Science, 2019, 31(3): 150–164. doi:10.1017/S0954102019000154.
[14] Gao Xiang, Pang Xiaoping, Ji Qing*. Sea ice classification in the Weddell Sea based on scatterometer data. Advance in Polar Science, 2017, 28(3): 196–203. doi: 10.13679/j.advps.2017.3.00196.
[15] Qu Meng, Pang Xiaoping, Zhao Xi*, Lei Ruibo, Ji Qing, Liu Yue, Chen Ying. Spring leads in the Beaufort Sea and its interannual trend using Terra MODIS thermal imagery. Remote Sensing of Environment, 2021, 256: 112342. doi: 10.1016/j.rse.2021.112342.
[16] Liu Yue, Pang Xiaoping, Zhao Xi*, Alfred Stein, Zhang Xiang, Ji Qing, Qu Meng, Dong Jiang. Prediction of the Antarctic Marginal ICE Zone Extent Based upon its Multifractal Property. Fractals-Complex Geometry Patterns and Scaling in Nature and Society, 2021. 29(1): 21500353. doi: 10.1142/S0218348X21500353.
[17] Chen Ying, Zhao Xi*, Qu Meng, Cheng Zian, Pang Xiaoping, Ji Qing. Inter-comparisons among passive microwave sea ice concentration products from FY-3D MWRI and AMSR2. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, 2020, XLIII-B3-2020, 861–867. doi: 10.5194/isprs-archives-XLIII-B3-2020-861-202.
[18] Fan Pei, Pang Xiaoping, Zhao Xi*, Mohammed Shokr, Lei Ruibo, Qu Meng, Ji Qing, Ding Minghu. Sea ice surface temperature retrieval from Landsat8/TIRS: Evaluation of five methods against in situ temperature records and MODIS IST in Arctic region. Remote Sensing of Environment, 2020, 248: 111975. doi: 10.1016/j.rse.2020.111975.
[19] Ying Chen, Xi Zhao, Xiaoping Pang, Qing Ji. Daily sea ice concentration product based on brightness temperature data of FY-3D MWRI in the Arctic. Big Earth Data, 2021, 1865623. doi: 10.1080/20964471.2020.1865623.
[20] Qu Meng,Pang Xiaoping,Zhao Xi*,Zhang Jinlun,Ji Qing,Fan Pei. Estimation of turbulent heat flux over leads using satellite thermal images. The Cryosphere,2019,13:1565-1582. doi: 10.5194/tc-13-1565-2019.
[21] Lei Ruibo*, Cheng Bin, Heil Petra, Vihma Timo, Wang Jia, Ji Qing, Zhang Zhanhai. Seasonal and interannual variations of sea ice mass balance, Journal of Geophysical Research: Oceans, 2017, 123: 2422-2439. doi: 10.1002/2017JC013548.
[22] 季青,董江*,庞小平,朱亚敏,张晨雷,胡晓坤. 北极东北航道夏季海冰冰情与适航性分析. 船舶力学,2021, 25(8):991-1000. doi: 0.3969/j.issn.1007-7294.2021.08.002.
[23] 季青*,庞小平,赵羲,程子桉. 基于CryoSat-2数据的海冰厚度估算算法比较.武汉大学学报信息科学版,2015,40(11):1467-1472. doi: 10.13203/j.whugis20150279.
[24] 庞小平, 季青,崔详斌,朱李忠,范沛. 极地航空对地观测现状与展望. 船舶,2023,34(1):20-29.
[25] 庞小平, 胡晓坤, 季青*, 李娟, 张晨雷, 梁泽毓, 陈亦卓. 北冰洋叶绿素 a 及初级生产力遥感反演研究进展. 极地研究,2022,34(1):1-10.
[26] 高翔,庞小平,季青*. 利用CryoSat‐2 测高数据研究南极威德尔海海冰出水高度时空变化. 武汉大学学报信息科学版,2021, 46(1):125-132. doi:10.13203/j.whugis20180504.
[27] 庞小平,刘清全,季青*. 北极一年海冰表面积雪深度遥感反演与时序分析. 武汉大学学报信息科学版,2018,43(7):971-977. doi: 10.13203/j.whugis20160259.
[28] 屈猛,庞小平,赵羲*,季青,范沛. 利用多源遥感数据识别波弗特海冰间水道.武汉大学学报信息科学版,2019,44(6):917-924. doi: 10.13203/j.whugis20170296.
[29] 程子桉,庞小平,赵羲*,季青. 1978-2014南极海冰边缘线长度时间序列变化. 武汉大学学报信息科学版,2016,41(11):1463-1468. doi: 10.13203/j.whugis20150263.
[30] 王诗云,庞小平,季青*. 2000-2015年北极夏季反照率变化及其与海冰密集度的关系. 测绘与空间地理信息,2020,43(1):23-26.
[31] 陈亦卓,季青*,庞小平. 基于Cryosat-2卫星测高数据分析南极海冰厚度的时空变化. 冰川冻土,2019,41(5):1214-1220. doi: 10.7522/j. issn. 10000240. 2019. 0535.
[32] 李冰洁,庞小平,季青*. 北极海冰密度变化分析及其对海冰厚度估算的影响. 极地研究,2019,31(3):258-266.
[33] 庞小平,季青*,李沁彧,李冰洁. 南极海洋保护区设立的适宜性评价研究. 极地研究,2018,30(3):338-348.
[34] 刘玥,庞小平,赵羲*,苏楚钦,季青. 基于海冰密集度遥感数据的波弗特海海冰时空变化研究. 极地研究,2018,30(2):161-172.
[35] 王明锋,苏洁*,李涛,王晓宇,季青,曹勇,林龙,刘一林. 基于无人机观测的北极冰面融池及冰面粗糙度信息提取方法研究. 极地研究,2017,29(4):436-445.
[36] 庞小平*,刘清全,季青,赵羲. 北极航道适航性研究现状与展望. 地理空间信息,2017,15(11):1-4.
[37] 产启良,庞小平,艾松涛*,季青. 利用CCD相机进行南极站积雪覆盖监测的方法. 地理空间信息,2017,15(3):40-43.
[38] 季青*,庞小平,许苏清,赵羲,刘清全,石中玉. 极地海冰厚度探测方法及其应用研究综述. 极地研究,2016,28(4):433-441. doi:10.13679/j.jsyj.2016.4.431.
[39] 季青*,庞小平. 北极海冰密集度产品的走航比较与冰情分析. 华东交通大学学报,2016,33(5):33-38.
[40] 石中玉,庞小平,赵羲*,程子桉,季青. 不同月海冰边界提取算法对南极海冰变化的影响分析. 极地研究,2016,28(2):287-283.
[41] 张春桂*,潘卫华,季青. 基于MODIS数据的城市热岛动态监测及时空变化分析. 热带气象学报,2011,27(3):396-402.
[42] 季青,余明*. 基于CBERS-02 IRMSS和MODIS数据的地表温度反演与热环境评价研究. 地理与地理信息科学,2009,25(6):78-81.
著作:
2021年5月,《北极海冰遥感反演方法及应用》,海洋出版社,编写第六章北极海冰厚度遥感反演研究
2019年11月,《中国北方枢纽港港航地图集》,中国地图出版社,总体设计
2019年9月,《中国市售水果农药残留水平地图集》,湖南地图出版社,副主编
2019年5月,《南极保护区及其地名》,中国社会出版社,副主编
2019年3月,《南极科学考察国家地名辑要》,中国社会出版社,编委
2018年10月,《极地测绘遥感信息学》,科学出版社,编写第八章极地海冰特征参数与变化监测
专利与软件著作:
软件著作权,基于海冰冰情的北极船舶航线自动规划系统,2021SR0931204,排名第1
软件著作权,CryoSat-2数据处理及海冰厚度反演软件,2021SR1002919,排名第2
软件著作权,FY-3D MWRI数据处理及海冰密集度反演系统,2021SR1756000, 排名第4
发明专利,基于深度学习的船基视频图像海冰厚度测量方法及系统,CN202011605955.1,排名第1
发明专利,一种冰川花杆高度的实时监测系统装置, ZL202220832935.6,排名第4