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Liu Linyi

Liu Linyi

Linyi Liu: Research assistant, working in Aerospace Information Research Institute, Chinese Academy of Sciences, Ph.D. The main research interests cover Multi-source remote sensing data fusion; remote sensing monitoring and forecasting of crop pests and diseases. The major analysis softwares used contain ERDAS Imagine, & ENVI image analysis systems, ESRI ArcGIS analysis softwares,SPSS/Splus statistical analysis softwares.


ACADEMIC QUALIFICATIONS

PhD. University of Chinese Academy of Sciences, ChinaMulti-scale remote sensing monitoring of wheat Fusarium head blight (2015-2020)


BSc. Capital Normal University, China

Geographic Information System (2011-2015)


APPOINTMENTS

2023-Present

Research assistant, Aerospace Information Research Institute, Chinese Academy of Sciences, China



PUBLICATIONS

[1]Linyi Liu; Yingying Dong*; Wenjiang Huang; Xiaoping Du; Huiqin Ma; Monitoring Wheat Fusarium Head Blight Using Unmanned Aerial Vehicle Hyperspectral Imagery, Remote Sensing, 2020, 12(22): 3811. 

[2]Linyi Liu; Yingying Dong*; Wenjiang Huang*; Xiaoping Du; Binyuan Ren; Linsheng Huang; Qiong Zheng; Huiqin Ma; A Disease Index for Efficiently Detecting Wheat Fusarium Head Blight Using Sentinel-2 Multispectral Imagery, IEEE Access, 2020, 8(1): 52181-52191. 

[3]Linyi Liu; Yingying Dong; Wenjiang Huang*; Xiaoping Du, Juhua Luo; Yue Shi; Huiqin Ma; Enhanced Regional Monitoring of Wheat Powdery Mildew Based on an Instance-Based Transfer Learning Method, Remote Sensing, 2019, 3(11): 298.

[4]Yingying Dong; Wenjiang Huang; Yun Geng; Linyi Liu; Huiqin Ma; Anting Guo and Chao Ruan; “Crop Pest and Disease Remote Sensing Monitoring and Forecasting”, EDP Sciences, Science Press, 2022.

[5]Yingying Dong, Wenjiang Huang, Yun Geng, Linyi Liu, Huiqin Ma, Anting Guo and Chao Ruan,, Science Press, EDP Sciences, 2022.03. ISBN: 978-2-7598-2659-9


ORAL PRESENTATIONS

  • Linyi Liu, Wenjiang Huang, Giovanni Laneve, et al. (2014) Monitoring Powdery Mildew of Winter Wheat by Incorporating Ground Samples from Different Regions. Midterm Results Workshop of the Dragon 4 Programme, Xian, China,19-22 June 2014.

  • Linyi Liu, Wenjiang Huang, Stefano Pignatti, et al. (2019) Optimal Hyperspectral Vegetation Indices for Winter Wheat Fusarium Head Blight Detection in Canopy Scale. 11th International Symposium on Digital Earth, Florence, Italy, 24-27 September 2019.

  • Linyi Liu, Wenjiang Huang, Yingying Dong, et al. (2019) Regional Wheat Powdery Mildew Monitoring with Landsat Image Based on Transfer Learning Method. 4th annual symposium of the Dragon 4 Programme, Ljubljana, Slovenia, 24-28 September 2019.


教育经历
学术奖励
Links
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