1.Environmental quantitative remote sensing:

Atmospheric aerosol remote sensing, ocean water color remote sensing, surface solar radiation remote sensing

2.Remote sensing information application:

Ecological environment remote sensing monitoring, disaster remote sensing monitoring (landslide, sandstorm, flood), UAV remote sensing application

3.Remote sensing image processing:

Intelligent classification of remote sensing image, Intelligent change detection of remote sensing image

4.Ghost imaging mechanism and remote sensing application in Geoscience 

2002/09--2005/06 PhD, Institute of Remote Sensing Applications, Chinese Academy of Sciences

1999/09--2002/06 Master, Institute of Geology and Geophysics, Chinese Academy of Sciences

1994/09--1998/06 Undergraduate,China University of Geosciences

   

2011-present, Associate Professor, Master Supervisor, College of Resources and Environment, University of Chinese Academy of Sciences

2008-2011, Associate Researcher, Master Supervisor, Deputy Director of Laboratory of Information Integration and Application, Yantai Institute of Coastal Zone, Chinese Academy of Sciences

2006-2008, Postdoctor, Institute of Remote Sensing and GIS, Peking University

2005-2006, Assistant Researcher, Remote Sensing Laboratory, National Ocean Technology Center

<<ocean remote sensing>>
<<remote sensing image processing>>

2018/03 - 2019/04, Visiting Scholar, University of Texas, USA. 

2016/06-2016/09, Senior Visiting Scholar, University of Texas, USA. 

2006/01-2006/02, Visiting Scholar, Geological Survey of Japan，AIST , Japan 

2003/03-2003/04, Visiting study in University of Oxford, UK. Scholarship from the European Space Agency.

1. Wang, Yanjiao, Jiakui Tang, Wuhua Wang, Zhao Wang, Jiru Wang, Shunbo Liang, and Bowen Chu. 2024. "Long-Term Spatiotemporal Characteristics and Influencing Factors of Dust Aerosols in East Asia (2000–2022)" Remote Sensing 16, no. 2: 318. https://doi.org/10.3390/rs16020318（通讯作者）

2. Xiaofan Li, Na Zhang, Anan Zhang, Jiakui Tang, Zhenyu Li, Zexu Nie,2024,”Changes in grassland vegetation based on spatiotemporal variation in vegetation growth and spatial configuration dynamics of bare lands”,Ecological Informatics,Volume 80,102473,ISSN 1574-9541,https://doi.org/10.1016/j.ecoinf.2024.102473.（通讯作者）

3. Qu, G.; Wu, Y.; Lv, Z.; Zhao, D.; Lu, Y.; Zhou, K.; Tang, J.; Zhang, Q.; Zhang, A. Road-MobileSeg: Lightweight and Accurate Road Extraction Model from Remote Sensing Images for Mobile Devices. Sensors 2024, 24, 531. https://doi.org/10.3390/s24020531（通讯作者）

4. 张博, 曹丹平, 唐家奎. 应用GRACE和气象数据监测黄河流域陆地水储量时空变化[J]. 遥感技术与应用, 2024, 39(3): 699-707 https://doi.org/10.11873/j.issn.1004-0323.2024.3.0699

5. Wang, Jiru, Jiakui Tang, Wuhua Wang, Yanjiao Wang, and Zhao Wang. 2023. "Quantitative Retrieval of Chlorophyll-a Concentrations in the Bohai–Yellow Sea Using GOCI Surface Reflectance Products" Remote Sensing 15, no. 22: 5285. https://doi.org/10.3390/rs15225285（通讯作者）

6. Xi, Mingjie, Wanchang Zhang, Jiakui Tang, Huiran Gao, Masoud Jafari Shalamzari. 2023. Application of a Multifractal Model for Identification of Lithology and Hydrothermal Alteration in the Dasuji Porphyry Mo Deposit in Inner Mongolia, China，Remote Sensing 15, no. 23: 5532. https://doi.org/10.3390/rs15235532（通讯作者）

7. Xu, Xuefeng, Jiakui Tang, Na Zhang, Anan Zhang, Wuhua Wang, and Qiang Sun. 2023. "Remote Sensing Classification of Temperate Grassland in Eurasia Based on Normalized Difference Vegetation Index (NDVI) Time-Series Data" Sustainability 15, no. 20: 14973. https://doi.org/10.3390/su152014973（通讯作者）

8. Xu X, Tang J, Zhang N, Zhang A, Wang W, Sun Q. Remote Sensing Classification of Temperate Grassland in Eurasia Based on Normalized Difference Vegetation Index (NDVI) Time-Series Data. Sustainability. 2023; 15(20):14973. https://doi.org/10.3390/su152014973（通讯作者）

9. Na Zhang, Zhenyu Li, Yiming Feng, Xiaofan Li, Jiakui Tang, Development and application of a vegetation degradation classification approach for the temperate grasslands of northern China, Ecological Indicators, 2023, Volume 154,110857, ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2023.110857. （通讯作者）

10. Wang W, Tang J, Zhang N, Wang Y, Xu X, Zhang A. Spatiotemporal Pattern of Invasive Pedicularis in the Bayinbuluke Land, China, during 2019–2021: An Analysis Based on PlanetScope and Sentinel-2 Data. Remote Sensing. 2023; 15(18):4383. https://doi.org/10.3390/rs15184383，（通讯作者）

11. Wang Y, Tang J, Zhang Z, Wang W, Wang J, Wang Z. Hybrid Methods’Integration for Remote Sensing Monitoring and Process Analysis of Dust Storm Based on Multi-Source Data. Atmosphere. 2023; 14(1):3. https://doi.org/10.3390/atmos14010003，（通讯作者）

12. Wang W, Tang J, Zhang N, Xu X, Zhang A, Wang Y. Automated Detection Method to Extract Pedicularis Based on UAV Images. Drones. 2022; 6(12):399. https://doi.org/10.3390/drones6120399，（通讯作者）

13. Zhou X, Wang Q, Zhang R, Ren B, Wu X, Wu Y, Tang J. A Spatiotemporal Analysis of Hainan Island’s 2010–2020 Gross Ecosystem Product Accounting. Sustainability. 2022; 14(23):15624. https://doi.org/10.3390/su142315624，（通讯作者）

14. Gao R, Rui X, Tang J. A Spatio-Temporal Weighted Filling Method for Missing AOD Values. Atmosphere. 2022; 13(7):1080. https://doi.org/10.3390/atmos13071080，（通讯作者）

15. Qazi Muhammad Yasir , Zhijie Zhang, Jiakui Tang, Muhammad Naveed and Zahid Jahangir，Spectral indices for tracing leaf water status with hyperspectral reflectance data，Journal of Applied Remote Sensing，2023，Vol. 17(1)，014523（1~19）DOI:10.1117/1.JRS.17.014523（通讯作者）

16. Wang Z, Tang J, Hou S, Wang Y, Zhang A, Wang J, Wang W, Feng Z, Li A and Han B (2023) Landslide displacement prediction from on-site deformation data based on time series ARIMA model, Frontiers in Environmental Science, 11:1249743, DOI: 10.3389/fenvs.2023.1249743, （通讯作者）

17. Lijun Zhao, Jiakui Tang, Xinju Yu & Ping Tang (2017) A land-cover change detection method using data-oriented composite-kernel-based one-class support vector machine, Geocarto International, 32:10, 1049-1068, DOI: 10.1080/10106049.2016.1195882

18. Xia S, Mestas-Nuñez AM, Xie H, Tang J, Vega R. Characterizing Variability of Solar Irradiance in San Antonio, Texas Using Satellite Observations of Cloudiness. Remote Sensing. 2018; 10(12):2016. https://doi.org/10.3390/rs10122016，

19. Liuxi Tian, Hongjie Xie, Stephen F. Ackley, Jiakui Tang, Alberto M. Mestas-Nuñez and Xianwei Wang，Sea-ice freeboard and thickness in the Ross Sea from airborne (IceBridge 2013) and satellite (ICESat 2003–2008) observations，Annals of Glaciology, Volume 61, Issue 82, 2020, pp.24-39，DOI: https://doi.org/10.1017/aog.2019.49，

20. Wu X, Zhang Z, Xiong S, Zhang W, Tang J, Li Z, An B, Li R. A Near-Real-Time Flood Detection Method Based on Deep Learning and SAR Images. Remote Sensing. 2023; 15(8):2046. https://doi.org/10.3390/rs15082046，）

21. Deng R, Guan Y, Cai D, Yang T, Fraedrich K, Zhang C, Tang J, Liao Z, Wei Z, Guo S. Supervised versus Semi-Supervised Urban Functional Area Prediction: Uncertainty, Robustness and Sensitivity. Remote Sensing. 2023; 15(2):341. https://doi.org/10.3390/rs15020341，

22. 谢春华, 张帅影∗ , 崔丽珍, 安文韬, 唐家奎，黄河三角洲地物遥感分类研究进展与趋势，科学技术与工程，2022, 22(33):14571 -13，ISSN:1671—1815

23. 王彩云,王勇,唐家奎,等.复杂目标地背景高频宽带建模仿真[J].电波科学学报, 2014(2):6. DOI:10.13443/j.cjors.2013050902.

24. 牛晓君; 唐家奎*; 张自力; 崔林丽; 幸炜鹏; 宋艺 ; 基于葵花8号卫星数据的气溶胶反演算法及其在 雾霾过程监测中的应用, 中国科学院大学学报, 2019, 36(5): 671-681。

25. 郭强; 唐家奎*; 何文通; 田媛; 于新菊 ; 利用MODIS可见光波段反演陆地气溶胶光学厚度, 地理与地理信息科学, 2015, 31(2): 38-43。

26. 赵理君，唐家奎*，于新菊，王春磊，张成雯，综合视觉特征度量与SVM的遥感图像检索方法研究，中国科学院研究生院学报， 2013,30(3):347-352.

27. 米素娟，唐家奎*，张显峰，于新菊，郭强，基于VIC模型与集合卡尔曼滤波的土壤水分同化研究，地理与地理信息科学, 2013,29(1)91-95.

28. 张成雯, 唐家奎*, 于新菊, 王春磊, 米素娟，黄河三角洲土壤含盐量定量遥感反演，中国科学院研究生院学报，2013，Vol.30 (2): 220-227.

29. Jiakui Tang, Xianfeng Zhang, Xiuwan Chen, et al, 2009, Data-oriented composite-kernel-based support vector machine for image classification, Proc. SPIE， Vol. 7471.

30. Lijun Zhao, Jiakui Tang*. Content-based image retrieval using optimal feature combination and relevance feedback. 2010 International Conference on Computer Application and System Modeling (ICCASM), Vol:4, PP:436-442

31. Zhao, L., Tang, J., Yu, X., Li, Y., Mi, S., Zhang, C. (2012). Content-Based Remote Sensing Image Retrieval Using Image Multi-feature Combination and SVM-Based Relevance Feedback. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25781-0_112, ISBN978-3-642-25780-3

32. 张成雯，唐家奎*，米素娟，马毅，郭立萍，赵理君，王后茂，王春磊。基于LBV数据变换方法的海岸带多光谱影像分类方法研究[J].地理与地理信息科学, 26(4):53-56，2010.

33. 郭立萍, 唐家奎*,米素娟,张成雯,赵理君.基于支持向量机遥感图像融合分类方法研究进展[J].安徽农业科学, 38(17):9235-9238. 2010.

34. 张成雯，唐家奎*，米素娟，胡引翠，王春磊，于新菊，李勇志，赵理君，王后茂，2010，应用于中巴02B卫星多光谱影像的LBV数据变换方法研究[J].地理与地理信息科学， 03期, 21-25，2011.

35. 李勇志，唐家奎*,王德强，王春磊，张成雯，莱州湾海岸带土壤光谱分析与有机质反演研究，地理与地理信息科学，28卷4期，79-82, 2012. 

36. Houmao Wang; Jiakui Tang; Chunlei Wang; Xinju Yu; Chengwen Zhang; Lijun Zhao,A new method to retrieve aerosol optical depth over land using MODIS data, 2010 Second IITA International Conference on Geoscience and Remote Sensing, DOI: 10.1109/IITA-GRS.2010.5604120,August 2010

37. Chengwen Zhang, Jiakui Tang*,Sujuan Mi, et.al.,A New Data Transformation Method for Cbers-02b Multi-Spectral Images, 2010 International Conference on Remote Sensing （ICRS 2010), 2010.10, p45-48,978-1-4244-8729-5

38. Wang H , Tang J .Aerosol retrieval from remote sensing image using artificial neural network[C]//International Conference on Computer Application and System Modeling.IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States, 2010.DOI:10.1109/ICCASM.2010.5620271.

39. Wandong Ma, Ping Shi, Yuanzhi Zhang, Qianguo Xing, Jiakui Tang, and Dongyan Liu "Chlorophyll-a retrieval of coastal waters based on in situ hyperspectral data", Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 74710U (9 October 2009); https://doi.org/10.1117/12.836325

40. Jiakui Tang, Yong Xue, Tong Yu, Yanning Guan, 2005, Aerosol Optical Thickness Determination by Exploiting the Synergy of TERRA and AQUA MODIS (SYNTAM), Remote Sensing of Environment，94，327-334

41. Jiakui Tang, Yong Xue, Tong Yu, Yanning Guan, Guoyin Cai & Yincui, Hu, 2006, Aerosol Optical Thickness Determination for Land Surface from MODIS data., Science in China Series D-Earth Sciences，Vol.49，No. 6， pp.641-649

42. Jiakui Tang, Aijun Zhang, et.al., 2007, Preliminary Research on Grid-based Remote Sensing Image distributed Processing，IFIP International Conference on Network and Parallel Computing (NPC 2007)

43. Jiakui Tang, Aijun Zhang, et.al., 2007, The Design and Implementation of Grid Computing Platform for Aerosol Remote Sensing (GCP-ARS), 2007 15th International Conference on Geoinformatics, Proc. SPIE, 675245

44. Tang, J. ,  Xue, Y. ,  Guan, Y. ,  Hu, Y. ,  Zhang, A. , &  Cai, G. . (2005). Grid-based Dichotomy Search Algorithm with Radiative Transfer Computation for Atmospheric pollution monitoring. International Conference of Computational Methods in Sciences and Engineering 2005.

45. Tang J , Xue Y , Guan Y ,et al.A new approach to generate the look-up table for aerosol remote sensing on grid platform[C]//IEEE International Geoscience and Remote Sensing Symposium.2004.DOI:10.1109/igarss.2004.1370313.

46. Tang, Jiakui; Xue, Yong; Guan, Yanning; Hu, Yincui; Shuo, Dong, Grid-based aerosol retrieval over land using dark target algorithm from MODIS data, Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005, Volume 2, Pages 756-761, 2005.

47. 唐家奎, 薛勇, 虞统, 关燕宁, 蔡国印, 胡引翠, MODIS陆地气溶胶遥感反演——利用TERRA和AQUA双星MODIS数据协同反演算法, 中国科学D辑，35卷，5期，pp. 474-481,2005.

48. 李盛阳，张爱军，朱重光，唐家奎，基于网格的遥感图像快速处理，计算机工程，2007，VOL.33，NO.6, P35-37.

49. Yong Xue, Yanguang Wang, Jianqin Wang, Ying Luo,Yincui Hu,Shaobo Zhong,Jiakui Tang, Guoyin Cai & Yanning Guan, (2005). High Throughput Computing for Spatial Information Processing (HIT-SIP) System on Grid Platform. In: Sloot, P.M.A., Hoekstra, A.G., Priol, T., Reinefeld, A., Bubak, M. (eds) Advances in Grid Computing - EGC 2005. EGC 2005. Lecture Notes in Computer Science, vol 3470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508380_6

50. Guoyin Cai, Yong Xue, Jiakui Tang, Jianqin Wang, Yanguang Wang, Ying Luo, Yincui HU, Shaobo Zhong, and Xiaosong Sun, 2004, Experience of Remote Sensing Information Modelling with Grid computing. Lecture Notes in Computer Science, Vol. 3039, pp.1003-1010.

51. Yincui Hu, Yong Xue, Jianqin Wang, Guoyin Cai, Shaobo Zhong, Yanguang Wang, Ying Luo, Jiakui Tang, and Xiaosong Sun, 2004, Feasibility Study of Geo-Spatial Analysis using Grid Computing. Lecture Notes in Computer Science, Vol. 3039, pp.971-978.

52. Aijun Zhang, Yong Xue, Xiaosong Sun, Yincui Hu, Ying Luo, Yanguang Wang, Shaobo Zhong, Jianqin Wang, Jiakui Tang, and Guoyin Cai, 2004, Reconstruction of 3D Curvilinear Wireframe Model from 2D Orthographic Views. Lecture Notes in Computer Science, Vol. 3037, pp. 409-416.

53. Jianqin Wang, Yong Xue, Chaolin Wu, Yanguang Wang, Yincui Hu, Ying Luo, Yanning Guan, Shaobo Zhong, Jiakui Tang, and Guoyin Cai, 2005, Middleware Development for Remote Sensing Data Sharing and Image Processing on HIT-SIP System. Lecture Notes in Computer Science, Vol.3482, pp. 173–180.

54. Yincui Hu, Yong Xue, Jiakui Tang, Shaobo Zhong, and Guoyin Cai, 2005, Data-parallel Georeference of MODIS Level 1B Data Using Grid Computing. Lecture Notes in Computer Science, Vol. 3516, pp883-886.

55. Yanguang Wang, Yong Xue, Jianqin Wang, Chaolin Wu, Yincui Hu, Ying Luo, Shaobo Zhong, Jiakui Tang, and Guoyin Cai, 2005, Java-based Grid Service Spread and Implementation in Remote Sensing Applications. Lecture Notes in Computer Science, Vol. 3516, pp496-503.

56. Hu, Y., Xue, Y., Tang, J., Zhong, S., Cai, G. (2005). Data-Parallel Method for Georeferencing of MODIS Level 1B Data Using Grid Computing. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2005. ICCS 2005. Lecture Notes in Computer Science, vol 3516. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428862_130

57. Wang, Jianqin, Sun, Xiaosong; Xue, Yong; Hu, Yincui; Luo, Ying; Wang, Yanguang; Zhong, Shaobo; Zhang, Aijun; Tang, Jiakui; Cai, Guoyin,Preliminary study on unsupervised classification of remotely sensed images on the grid, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 3039, Pages 981-988, 2004.ISSN0302-9743.

58. Cai, G. , Wu, J. , Xue, Y. , Hu, Y. , Guo, J. , & Tang, J. . (2005). Soil moisture retrieval from MODIS data in northern china plain using thermal inertia model (SoA-TI). IEEE International Geoscience & Remote Sensing Symposium. IEEE.

59. Wang, Y. , Xue, Y. , Wang, J. , Tang, J. , & Luo, Y. . .Analysis of remotely sensed images on the Grid platform from mobile handheld devices - a trial[C]//IEEE International Geoscience & Remote Sensing Symposium.IEEE, 2004.DOI:10.1109/IGARSS.2004.1370317.

60. Y. Xue, Guoyin Cai, Y. N. Guan, A. P. Cracknell and Jiakui Tang, 2005, Iterative Self-Consistent Approach For Earth Surface Temperature Determination. International Journal of Remote Sensing, Vol. 26, No. 1, 185–192. (DOI: 10.1080/01431160412331269689)

61. Hu, Yincui; Xue, Yong; Cai, Guoyin; Luo, Ying; Wang, Jianqin; Tang, Jiakui; Zhong, Shaobo; Wang, Yanguang; Sun, Xiaosong; Zhang, Aijun, An experience on buffer analyzing in grid, International Geoscience and Remote Sensing Symposium (IGARSS), Volume 1, Pages 219-221, 2004

62. University undergraduate textbook "Ocean Remote Sensing Principles, Methods and Applications", Publishing House of Electronics Industry (Second editor-in-chief), 2023.

1. Implementation method of synthetic kernel support vector machine for image classification and recognition, Patent No. ZL 2009 1 0014316.5

2. An implementation method of remote sensing image fusion enhancement, Patent No. ZL 2009 1 0230247.1

3. A remote sensing image retrieval method based on improved support vector machine correlation feedback, Patent No. ZL 2010 1 0552367.6

1. Uav remote sensing diagnosis of plant diseases and insect pests and variable application prescription map auxiliary system

2. Air pollutant exposure real-time mobile query system 

3. Remote sensing data cloud service system

Institute of Aerospace Information, Chinese Academy of Sciences

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

Space Application Engineering and Technology Center, Chinese Academy of Sciences

Yantai Institute of Coastal Zone, Chinese Academy of Sciences

State Oceanic Administration

China Geological Survey

China Geological Environment Monitoring Center

Chinese Academy of Agricultural Sciences

Peking University

State Grid Corporation Limited

University of Texas

University of Arizona

Utah State University

Technical University of Munich, Germany

Graduated Master students number: 17

Current Master students: Zhao WANG, Jiru WANG, Bowen CHU, Sen LANG, Jingwen SHI (Guest), SOMIA ASHRAF,  MOHAMMAD MUJTABA SADEQI

Current PHD students:Anan Zhang