Associate Research Professors
LU Ning
Source： | Date：2016-10-10 | 【Print】 【Close】
Name: Lu Ning
Current Appointment:
Associate Professor, State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Areas of Specialization: Atmospheric Remote Sensing
Education:
2009 Ph.D. Geographic Information Science, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing
2006 M.S. Geographic Information Science and Remote Sensing, China University of Geosciences, Wuhan
2003 B.S. Physical Geography, China University of Geosciences, Wuhan
Academic Positions
2013–present: Associate Professor, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Resources, Chinese Academy of Sciences, Beijing
2009-2013: Assistant Professor, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Resources, Chinese Academy of Sciences, Beijing
2016-2017: Visiting Scholar, Department of Geographical Sciences, University of Maryland, College Park, USA
2012-2013: Visiting Scholar, Climate Analysis Section, National Center for Atmospheric Research, USA
ISI Journal Publications
1. Huang G., Li X., Lu N., Wang X., He T. (2020). A General Parameterization Scheme for the Estimation of Incident Photosynthetically Active Radiation Under Cloudy Skies. IEEE Transactions on Geoscience and Remote Sensing, (99):1-11.
2. Zhang X., Lu N.*, Jiang H., Yao L. (2020). Evaluation of Reanalysis Surface Incident Solar Radiation Data in China. Scientific Reports, 10:3494.
3. Liu H., Lu N.*, Jiang H., Qin J., Yao L. (2020). Filling Gaps of Monthly Terra/MODIS Daytime Land Surface Temperature Using Discrete Cosine Transform Method. Remote Sensing 12(3):361.
4. Jiang H., Lu N.*, Qin J., Tang W., Yao L. (2019). A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data. Renewable and Sustainable Energy Reviews, 114:10932.
5. Lu N.* (2019). Biases and Abrupt Shifts of Monthly Precipitable Water from Terra MODIS. Remote Sensing, 11(11), 1315.
6. Lu N.* (2019). Scale effects of topographic ruggedness on precipitation over Qinghai-Tibet Plateau. Atmospheric Science Letters, 20, e904.
7. Jiang H., Lu N.* (2018). Multi-Scale Residual Convolutional Neural Network for Haze Removal of Remote Sensing Images. Remote Sensing, 10(6), 945.
8. Lu N.*, Liang S., Huang G., Qin J., Yao L., Wang D., Yang K. (2018). Hierarchical Bayesian space-time estimation of monthly maximum and minimum surface air temperature. Remote Sensing of Environment, 211, 48-58.
9. Huang G., Liang S., Lu N., Ma M., Wang D. (2018). Towards a Broadband Parameterization Scheme for Estimating Surface Solar Irradiance: Development and Preliminary Results on MODIS Products. Journal of Geophysical Research: Atmospheres, 123(21), 12-180.
10. Jiang H., Lu N.*, Yao L., Zhang X. (2018). Single image dehazing for visible remote sensing based on tagged haze thickness maps. Remote Sensing Letters, 9(7), 627-635.
11. Gao Y., Wang W., Yao T., Lu N., Lu A. (2018). Hydrological network and classification of lakes on the Third Pole. Journal of Hydrology, 560, 582-594.
12. Zhao N., Lu N., Chen C., Li H., Yue T., Zhang L., Liu Y. (2017). Mapping temperature using a Bayesian statistical method and a high accuracy surface modelling method in the Beijing–Tianjin–Hebei region, China. Meteorological Applications, 24(4), 571-579.
13. Jiang H, Lu N*, Yao L. (2016), A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images, Remote Sensing, 8(10), 1-18, doi:10.3390/rs8100844.
14. Tang W, Qin J, Yang K, Liu S, Lu N, Niu X. (2016), Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data, Atmospheric Chemistry and Physics, 16, 2543-2557.
15. Qin, J., W. Tang, K. Yang, Lu N, X. Niu, and S. Liang. (2015), An efficient physically based parameterization to derive surface solar irradiance based on satellite atmospheric products, J. Geophys. Res. Atmos., 120, 4975–4988, doi:10.1002/2015JD023097.
16. Lin, C, Yang K, Huang J, Tang W, Qin J, Niu X, Chen Y, Chen D, Lu N, and Fu R. (2015), Impacts of wind stilling on solar radiation variability in China. Scientific Reports 5, 15135; doi: 10.1038/srep15135.
17. Lu N*, Trenberth K, Qin J, Yang K, and Yao L. (2015), Detecting Long-Term Trends in Precipitable Water over the Tibetan Plateau by Synthesis of Station and MODIS Observations. Journal of Climate, 28, 1707–1722.
18. Yao L, Lu N*, Yue X, Du J, Yang C. (2015), Comparison of Hourly PM 2.5 Observations Between Urban and Suburban Areas in Beijing, China. International Journal of Environmental Research and Public Health, 12(10), 12264-12276.
19. Lu N*, Qin J, Gao Y, Yang K, Trenberth K, Gehne M, Zhu Y (2014), Trends and variability in atmospheric precipitable water over the Tibetan Plateau for 2000-2010, International Journal of Climatology, DOI: 10.1002/joc.4064, 2014.
20. Yao L, Lu N.* (2014), Spatiotemporal distribution and short-term trends of particulate matter concentration over China, 2006-2010, Environmental Science and Pollution Research, DOI 10.1007/s11356-014-2996-3.
21. Jiang H, Feng M, Zhu Y, Lu N, Huang J, Xiao T., An Automated Method for Extracting Rivers and Lakes from Landsat Imagery. Remote Sensing, 6(6), 5067-5089, 2014.
22. Yao L, Lu N.* (2014), Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing, International Journal of Environmental Research and Public Health, DOI:10.3390/ijerph110505241.
23. Miao R, Lu N*, Yao L, Zhu Y, Wang J, Sun J (2013), Multi-Year Comparison of Carbon Dioxide from Satellite Data with Ground-Based FTS Measurements (2003–2011), Remote Sensing, 5(7).
24. Yang K, Qin J, Zhao L, Chen Y, Tang W, Han M, Lazhu, Chen Z, Lu N, Ding B, Wu H, Lin C (2013), A Multi-Scale Soil Moisture and Freeze-Thaw Monitoring Network on the Third Pole. Bulletin of the American Meteorological Society, doi: http://dx.doi.org/10.1175/BAMS-D-12-00203.1.
25. Qin J, Yang K, Lu N, Chen Y, Zhao L, Han M (2013), Spatial upscaling of in-situ soil moisture measurements based on MODIS-derived apparent thermal inertia. Remote Sensing of Environment, 138, 1-9.
26. Yang K, Ding B, Qin J, Tang W, Lu N, Lin C (2012), Can aerosol loading explain the solar dimming over the Tibetan Plateau?, Geophys. Res. Lett., 39, L20710.
27. Lu N*, Qin J, Yang K, Gao Y, Xu X, Koike T (2011), On the use of GPS measurements for MODIS precipitable water vapor evaluation over southern Tibet, Journal of Geophysical Research, 116, D23117.
28. Lu N*, Qin J, Yang K, Sun J (2011), A simple and efficient algorithm to estimate daily global solar radiation from geostationary satellite data, Energy, 36(5), 3179-3188.
29. Gao Y, Lu N*, Yao T (2011), Evaluation of a cloud-gap-filled MODIS daily snow cover product over the Pacific Northwest USA. Journal of Hydrology, doi:10.1016/j.jhydrol.2011.04.026.
30. Lu N, Liu R, Liu J, Liang S (2010), An Algorithm for Estimating Downward Shortwave Radiation from GMS 5 Visible Imagery and its Evaluation over China, Journal of Geophysical Research, 115, D18102.
31. Gao Y, Xie H, Lu N, Yao T (2010), Toward advanced daily cloud-free snow cover and snow water equivalent products from Terra-Aqua MODIS and Aqua AMSR-E measurements. Journal of Hydrology, doi:10.1016/j.jhydrol.2010.01.022.
Office Address:
IGSNRR
11A Da Tun Road
Beijing 100101
People’s Republic of China
Telephone: 86-10-6488-9981
Fax: 86-10-6488-9981
Email: lvn@lreis.ac.cn
