Zhu Changming
基本信息（Basic Information）
姓名(Name)
职称（Title）
副教授Associate Professor
学院（School）:
地理测绘与城乡规划学院School of Geography,Geomatics and Planning
专业（Discipline）:
地理信息科学Geographic Information Science
研究方向（Research Interests）:
1.Remote sensing information
2.GIS and RS application
3.Eco-environmental RS Monitoring
邮箱（Email）:
zhuchangming@jsnu.edu.cn
个人简历（Biography）
-教育背景（Educational Background）
- 20092013Hunan Normal University, B.A.: Educational Techchology
- 20132016Jiangsu Normal University, M.A.: Educational Techchology
- 20162020Xiamen University, Ph.D.: Computer Science and Technology
-工作经历（Working Experience）
- 2020PresentJiangsu Normal University, Lecturer
发表文章（Publications）
1. Zhu C, Lu D, Victoria D, et al. Mapping Fractional Cropland Distribution in Mato Grosso, Brazil Using Time Series MODIS Enhanced Vegetation Index and Landsat Thematic Mapper Data[J]. Remote Sensing, 2016, 8(1): 22. SCI.
2. Changming, ZHANG, Jiaguo. Detecting and assessing Spartina invasion in coastal region of China: A case study in the Xiangshan Bay[J]. Acta Oceanologica Sinica, 2016, 35(4):35-43. SCI.
3. Changming Zhu,Jiancheng Luo,Junli Li and et al. Bosten lake Water Level Automatic Retrieval and Trends Analysis Based on ICESat GLAS Global Laser Point Data[J].Lecture Notes in Computer Science, 2012,Vol.7202:582~590
4. Changming Zhu, Jiancheng Luo, Zhanfeng Shen, et al.. Extract enclosure culture in coastal waters based on high spatial resolution remote sensing image [J], Journal of Dalian Maritime University，2011.08,Vol.37(3).
5. Changming Zhu, Jiancheng Luo, Zhanfeng Shen, et al.. River linear water adaptive automatic extraction on remote sensing image aided by DEM [J]，Acta Geodaetica et Cartographica Sinica，2013.03
6. Changming Zhu, Jiancheng Luo, Zhanfeng Shen, et al.. Research on Landsa-t 7 SLC-off Image Restoration Method Based on MODIS09 Data [J]，Acta Geodaetica et Cartographica Sinica,2010(3).
7.Changming Zhu, Jiancheng Luo, Dongping Ming,et al. Method for Generating SPOT Natural-Color Composite Images Based on Spectrum Machine Learning[J], International Journal of Remote sensing.2012.02
