Visiting Lecturer
Deyong Sun
Deyong Sun


09/2013 — present, Visiting Scholar, College of Marine Science, University of South Florida, USA

09/2005 — 07/2010, Ph.D., Remote sensing technique and application, the Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, China

09/2001 — 07/2005, B.S., Geographical information system, Department of Surveying and mapping, Nanjing University of Technology, China

University Positions:

07/2010 — present Lecturer, Nanjing University of Information Science and Technology

Research Interests:

  • Optical remote sensing algorithms
  • Bio-optical properties of coastal and inland waters
  • Water environment monitoring
  • Remote sensing data processing


Sun Deyong, Li Yunmei, Wang Qiao et al. Parameterization of Water Component Absorption in Inland Eutrophic Lake and Its Seasonal Variability: A Case Study in Lake Taihu. International Journal of Remote Sensing, 2009, 30(13), 3549-3571

Sun Deyong, Li Yunmei, and Wang Qiao. A unified model for remotely estimating chlorophyll a in Lake Taihu, China based on SVM and in situ hyperspectral data. IEEE Transactions on Geoscience and remote sensing, 2009, 47(8), 2957-2968.

Sun Deyong, Li Yunmei, Wang Qiao et al. Light scattering properties and their relation to the biogeochemical composition of turbid productive waters: A case study of Lake Taihu. Applied Optics, 2009, 48(11), 1979-1989.

Sun Deyong, Li Yunmei, Wang Qiao et al. Detection of suspended matter concentrations in optically complex Lake Taihu, China comparison of DSFs- and SVM-based models. IEEE Geoscience and Remote Sensing Letters, 2010, 7(4), 816-820.

Sun Deyong, Li Yunmei, Wang Qiao et al. Partitioning particulate scattering and absorption into contributions of phytoplankton and non-algal particles in winter in Lake Taihu (China). Hydrobiologia, 2010, 644(1), 337-349.

Sun Deyong, Li Yunmei, Wang Qiao et al. A neural network model to retrieve CDOMabsorption from in situ measured hyperspectral data in an optically complex lake: Lake Taihu case study. International Journal of Remote Sensing, 2011, 32(14), 4005-4022.

Sun Deyong, Li Yunmei, Wang Qiao et al. Development of optical criteria to discriminate various types of highly turbid lake waters. Hydrobiologia, 2011, 669, 83-104.

Sun Deyong, Li Yunmei, Wang Qiao et al. A novel support vector regression model to estimate the phycocyanin concentration in turbid inland waters from hyperspectral reflectance. Hydrobiologia, 2012, 680, 199-217.

Sun Deyong, Li Yunmei, Wang Qiao et al. Specific inherent optical quantities of complex turbid inland waters, from the perspective of water classification. Photochemical & Photobiological Sciences, 2012, 11, 1299-1312.

Sun Deyong, Li Yunmei, Le Chengfeng et al. (2013). A semi-analytical approach for detecting suspended particulate composition in complex turbid inland waters (China). Remote Sensing of Environment, 134, 92-99.

Wang Qiao, Sun Deyong, Li Yunmei et al. Mechanisms of remote-sensing reflectance variability and its relation to bio-optical processes in a highly turbid eutrophic lake: lake Taihu (China). IEEE Transactions on Geoscience and remote sensing, 2010, 48(1), 575-584.

Liu Jia, Sun Deyong, Zhang Yunlin et al. (2013). Pre-classification improves relationships between water clarity, light attenuation, and suspended particulates in turbid inland waters. Hydrobiologia, DOI: 10.1007/s10750-013-1462-4.

Chengfeng Le, Yunmei Li, Yong Zha, Deyong Sun, et al. A four-band semi-analytical model for estimation chlorophyll a in highly turbid lakes: The case of Taihu Lake, China. Remote Sensing of Environment, 2009, 113: 1175-1182.

Conference Proceedings:

Sun Deyong, Li Yunmei, Le Chengfeng, et al. Observation and Analysis of Water Inherent Optical Properties. Proceedings of SPIE, 2007, vol.6622, 66221D, 1-12.

Gong Shaoqi, Sun Deyong, Zhao Qiaohua, et al. Retrieval of water-leaving radiance from remote sensing image HJ/CCD in inland waters. Proceedings of SPIE (IITA-JCAI 2010), 2010, 120-126.

Technical Skills:

  • ENVI4.8(IDL)
  • ArcGIS9.3
  • 6S
  • Matlab
  • SPSS
  • ArcView
  • ERDAS9.2
  • Surfer
  • Adobe Photoshop CS5
  • Coreldraw
  • Grapher