Yang Bai
INFORMATION
Name |
Yang Bai |
Title |
Lecturer |
Phone |
|
Position |
|
baiyang_cumt@163.com |
EDUCATION:
Ph.D. -2016., School of Environment Science and Spatial Informatics, China University of Mining and Technology, Photogrammetry and Remote Sensing.
Ph.D. -2014. Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Photogrammetry and Remote Sensing.
M.S. -2013School of Environment Science and Spatial Informatics, China University of Mining and Technology, Photogrammetry and Remote Sensing.
B.A.--2011. Institute of Surveying and Mapping, Information Engineering University, Surveying and Mapping Engineering.
EMPLOYMENT:
2017.8-present, Lecturer, College of Environment and Planning, Henan University.
2013.12-2014.12, Research Assistant, Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University.
MAIN COURSES:
RESEARCH INTERESTS:
Remote Sensing of Atmospheric Environment and Ecological Environment, Image Fusion
RESEARCH ACTIVITIES:
2013-2014, Development of Spatial Temporal Adaptive Algorithm for Urban Environmental Monitoring,
2015-2016, Study on the Spatio-temporal Distribution of PM2.5 in Coal Mining Cities. (Research and Innovation Program for Graduate Students in Jiangsu Province: KYLX15_1435) PI
2012-2013, Application of Multi-source Remote Sensing Data in Soil Erosion and Pollution Monitoring in Coal Mining Area. (Research and Innovation Program for Graduate Students in Jiangsu Province: CXLX12_0955) PI
HONORS:
PUBLICATIONS:
1. Qin Kai, Rao Lanlan, Xu Jian, Bai Yang*, et al. Estimating Ground Level NO2 Concentrations over Central-Eastern China Using a Satellite-Based Geographically and Temporally Weighted Regression Model[J]. Remote Sensing, 2017, 9(9):950.
2. Bai Yang, Wu Lixin*, Qin Kai, et al. A Geographically and Temporally Weighted Regression Model for Ground-level PM2.5 Estimation from Satellite-derived 500m Resolution AOD. Remote Sensing, 2016, 8, 262.(SCI)
3. Bai Yang, Wong MS*, Shi Wenzhong, Wu Lixin, et al. Advancing of Land Surface Temperature Retrieval Using Extreme Learning Machine and Spatio-Temporal Adaptive Data Fusion Algorithm. Remote Sensing, 2015, 7, 4424-4441.(SCI)
4. Bai Yang, Qin Kai, Wu Lixin, et al. A Mobile Measurement on Black Carbon Concentrations along the Main Roads of Xuzhou Downtown. Geography and Geo-Information Science, 2014, 30(1):45-49. (In Chinese)
5. Bai Yang, Zhao Yindi, Han Tianqing. Hyperspectral remote sensing image dimensional reduction based on improved Kernel Two-dimensional Principal Component Analysis. Science of Surveying & Mapping, 2014, 39(7):126-130.(In Chinese)
6. Bai Yang, Zhao Yindi. HJ-1A satellite remote sensing data classification based on KPCA and FCM. Remote Sensing for Land & Resources, 2013, 25(1):71-76. 2013, 25(1):71-76. (In Chinese)
9. Wu Lixin, Bai Yang, Zhang Yuanyuan, et al. A simplified approach to analyze the effectiveness of NO2 and SO2 emission reduction of coal-fired power plant from OMI retrievals. EGU2017.
10. Bai Yang, Wu Lixin, Zhou Yuan, et al. Estimate PM2.5 concentration in 500m resolution from satellite data and ground observation. IGARSS 2016.
11. Bai Yang, Wu Lixin, Zhou Yuan, et al.Spatio-temporal distribution of atmosphere pollutants during winter heating period over Su-Lu-Yu-Wan provinces. IGARSS 2016.