地理信息科学系
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孟翔晨

信息来源: 发布日期: 2020-08-30浏览次数:

个人基本情况:

孟翔晨1990年出生,山东省枣庄市人。讲师(青年副教授),硕士生导师。研究方向:地/海表温度遥感反演、验证及应用。电子邮箱:xiangchenmeng@qfnu.edu.cn

教育经历:

2016/09-2020/06:北京师范大学,地图学与地理信息系统,博士

2013/09-2016/06:山东科技大学,摄影测量与遥感,硕士

2009/09-2013/06:山东科技大学,遥感科学与技术,学士

教学课程:

本科生课程:遥感概论、地理信息系统、地图学

研究生课程大数据技术与方法GIS与空间分析、遥感地学分析

研究生招生与培养:

地理学GIS方向)

科研课题:

山东省自然科学基金青年项目融合FY-3D数据和CLDAS数据的全天候地表温度估算方法研究 (主持)

山东省高校优秀青年创新团队(骨干成员)

第三次新疆科考项目子课题,新疆地气关键要素遥感动态反演(骨干成员)

参与多项国家自然科学基金面上项目、第二次青藏高原综合科学考察研究、国家重点研发计划项目等项目

获奖情况:

2023年11月获曲阜师范大学第十四届青年教师教学比赛三等奖

2023-2024学年第一学期“金课堂”,1/1

2021-2022学年第一学期“金课堂”,4/4

指导学生情况:

2024年,天津市土地利用/覆被变化对城市热岛的影响,通讯作者.

2023年,校级大学生创新创业训练计划项目(XJ202377),指导老师

2022年,第二十届SuperMap杯高校GIS大赛,优秀指导教师

社会兼职:

担任IEEE TGRS/JSTARS/GRSL, Remote Sensing, Sustainability, Atmosphere等期刊审稿人

主要论文:

2021-2024】

(1) X. Meng, J. Cheng, H. Guo, and B. Yao, "Quality Assessment of FY-4A/AGRI Official Sea Surface Temperature Product," IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024, doi: 10.1109/lgrs.2024.3350585.

(2) X. Meng, W. Liu, J. Cheng, and H. Guo, "An operational split-window algorithm for retrieving land surface temperature from FengYun-4A AGRI data," Remote Sensing Letters, vol. 14, no. 11, pp. 1206-1217, 2023, doi: 10.1080/2150704x.2023.2282402.

(3) X. Meng, W. Liu, J. Cheng, H. Guo, and B. Yao, "Estimating hourly Land Surface Temperature from FY-4A AGRI using an Explicitly Emissivity Dependent Split-Window Algorithm," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 1-14, 2023, doi: 10.1109/JSTARS.2023.3285760.

(4) X. Meng, J. Cheng, H. Guo, Y. Guo, and B. Yao, "Accuracy Evaluation of the Landsat 9 Land Surface Temperature Product," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 1-12, 2022, doi: 10.1109/jstars.2022.3212736.

(5) X. Meng, H. Guo, J. Cheng, and B. Yao, "Can the ERA5 Reanalysis Product Improve the Atmospheric Correction Accuracy of Landsat Series Thermal Infrared Data?," IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, doi: 10.1109/lgrs.2022.3167388.

(6) X. Meng, J. Cheng, B. Yao, and Y. Guo, "Validation of the ECOSTRESS Land Surface Temperature Product Using Ground Measurements," IEEE Geoscience and Remote Sensing Letters, vol. 19, p. 3005305, 2022, doi: 10.1109/lgrs.2021.3123816.

(7) J. Cheng, X. Meng, S. Dong, and S. Liang, "Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data," Science of Remote Sensing, vol. 4, p. 100032, 2021, doi: 10.1016/j.srs.2021.100032.

2016-2020】

(8) X. Meng and J. Cheng, "Estimating Land and Sea Surface Temperature From Cross-Calibrated Chinese Gaofen-5 Thermal Infrared Data Using Split-Window Algorithm," IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 3, pp. 509-513, 2020, doi: 10.1109/lgrs.2019.2921863.

(9) X. Meng, J. Cheng, S. Zhao, S. Liu, and Y. Yao, "Estimating Land Surface Temperature from Landsat-8 Data using the NOAA JPSS Enterprise Algorithm," Remote Sensing, vol. 11, no. 2, p. 155, 2019, doi: 10.3390/rs11020155.

(10) 孟翔晨,刘昊,程洁.基于FY-2F数据的中国区域地表温度日变化模型评价及特征研究.遥感学报, 2019.

(11) X. Meng and J. Cheng, "Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data," Remote Sensing, vol. 10, no. 3, p. 474, 2018, doi: 10.3390/rs10030474.

(12) 孟翔晨,历华,杜永明,曹彪,柳钦火,李彬. Landsat 8地表温度反演及验证—以黑河流域为例.遥感学报, 2018.

(13) X. Meng, J. Cheng, and S. Liang, "Estimating Land Surface Temperature from Feng Yun-3C/MERSI Data Using a New Land Surface Emissivity Scheme," Remote Sensing, vol. 9, no. 12, p. 1247, 2017, doi: 10.3390/rs9121247.

(14) 孟翔晨,历华,杜永明,曹彪,柳钦火,孙林,朱金山.基于ASTER GED产品的地表发射率估算.遥感学报, 2016.