An automated method for extracting rivers and lakes from Landsat imagery H Jiang, M Feng, Y Zhu, N Lu, J Huang, T Xiao Remote Sensing 6 (6), 5067-5089, 2014 | 314 | 2014 |
A multiscale soil moisture and freeze–thaw monitoring network on the third pole K Yang, J Qin, L Zhao, Y Chen, W Tang, M Han, Z Chen, N Lv, B Ding, ... Bulletin of the American Meteorological Society 94 (12), 1907-1916, 2013 | 294 | 2013 |
Spatial upscaling of in-situ soil moisture measurements based on MODIS-derived apparent thermal inertia J Qin, K Yang, N Lu, Y Chen, L Zhao, M Han Remote Sensing of Environment 138, 1-9, 2013 | 177 | 2013 |
Toward advanced daily cloud-free snow cover and snow water equivalent products from Terra–Aqua MODIS and Aqua AMSR-E measurements Y Gao, H Xie, N Lu, T Yao, T Liang Journal of hydrology 385 (1-4), 23-35, 2010 | 175 | 2010 |
A simple and efficient algorithm to estimate daily global solar radiation from geostationary satellite data N Lu, J Qin, K Yang, J Sun Energy 36 (5), 3179-3188, 2011 | 126 | 2011 |
Can aerosol loading explain the solar dimming over the Tibetan Plateau? K Yang, B Ding, J Qin, W Tang, N Lu, C Lin Geophysical Research Letters 39 (20), 2012 | 98 | 2012 |
A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data H Jiang, N Lu, J Qin, W Tang, L Yao Renewable and Sustainable Energy Reviews, 2019 | 95 | 2019 |
Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data W Tang, J Qin, K Yang, S Liu, N Lu, X Niu Atmospheric Chemistry and Physics 16 (4), 2543-2557, 2016 | 83 | 2016 |
Evaluation of precipitable water vapor from four satellite products and four reanalysis datasets against GPS measurements on the Southern Tibetan Plateau Y Wang, K Yang, Z Pan, J Qin, D Chen, C Lin, Y Chen, W Tang, M Han, ... Journal of Climate 30 (15), 5699-5713, 2017 | 71 | 2017 |
Spatiotemporal distribution and short-term trends of particulate matter concentration over China, 2006–2010 L Yao, N Lu Environmental Science and Pollution Research 21, 9665-9675, 2014 | 66 | 2014 |
Impacts of wind stilling on solar radiation variability in China C Lin, K Yang, J Huang, W Tang, J Qin, X Niu, Y Chen, D Chen, N Lu, ... Scientific reports 5 (1), 15135, 2015 | 64 | 2015 |
Multi-scale residual convolutional neural network for haze removal of remote sensing images H Jiang, N Lu Remote Sensing 10 (6), 945, 2018 | 61 | 2018 |
An efficient physically based parameterization to derive surface solar irradiance based on satellite atmospheric products J Qin, W Tang, K Yang, N Lu, X Niu, S Liang Journal of Geophysical Research: Atmospheres 120 (10), 4975-4988, 2015 | 57 | 2015 |
Evaluation of reanalysis surface incident solar radiation data in China X Zhang, N Lu, H Jiang, L Yao Scientific Reports 10 (1), 3494, 2020 | 55 | 2020 |
An algorithm for estimating downward shortwave radiation from GMS 5 visible imagery and its evaluation over China N Lu, R Liu, J Liu, S Liang Journal of Geophysical Research: Atmospheres 115 (D18), 2010 | 54 | 2010 |
Comparison of Hourly PM2.5 Observations Between Urban and Suburban Areas in Beijing, China L Yao, N Lu, X Yue, J Du, C Yang International Journal of Environmental Research and Public Health 12 (10 …, 2015 | 44 | 2015 |
Artificial neural network (ANN) for multi-source PM2. 5 estimation using surface, MODIS, and meteorological data L Yao, N Lu, S Jiang 2012 International Conference on Biomedical Engineering and Biotechnology …, 2012 | 41 | 2012 |
On the use of GPS measurements for Moderate Resolution Imaging Spectrometer precipitable water vapor evaluation over southern Tibet N Lu, J Qin, K Yang, Y Gao, X Xu, T Koike Journal of Geophysical Research: Atmospheres 116 (D23), 2011 | 41 | 2011 |
Detecting long-term trends in precipitable water over the Tibetan Plateau by synthesis of station and MODIS observations N Lu, KE Trenberth, J Qin, K Yang, L Yao Journal of Climate 28 (4), 1707-1722, 2015 | 40 | 2015 |
A high-fidelity haze removal method based on hot for visible remote sensing images H Jiang, N Lu, L Yao Remote Sensing 8 (10), 844, 2016 | 38 | 2016 |