Jing Wei
Jing Wei
Beijing Normal University, University of Maryland
Verified email at mail.bnu.edu.cn - Homepage
Cited by
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Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach
J Wei, W Huang, Z Li, W Xue, Y Peng, L Sun, M Cribb
Remote Sensing of Environment 231, 111221, 2019
MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison
J Wei, Z Li, Y Peng, L Sun
Atmospheric Environment 201, 428-440, 2019
Aerosol optical depth retrieval over bright areas using Landsat 8 OLI images
L Sun, J Wei, M Bilal, X Tian, C Jia, Y Guo, X Mi
Remote Sensing 8 (1), 23, 2016
Impact of Land-Use and Land-Cover Change on urban air quality in representative cities of China
L Sun, J Wei, DH Duan, YM Guo, DX Yang, C Jia, XT Mi
Journal of Atmospheric and Solar-Terrestrial Physics 142, 43-54, 2016
A cloud detection algorithm-generating method for remote sensing data at visible to short-wave infrared wavelengths
L Sun, X Mi, J Wei, J Wang, X Tian, H Yu, P Gan
ISPRS journal of photogrammetry and remote sensing 124, 70-88, 2017
Satellite-derived 1-km-resolution PM1 concentrations from 2014 to 2018 across China
J Wei, Z Li, J Guo, L Sun, W Huang, W Xue, T Fan, M Cribb
Environmental Science & Technology 53 (22), 13265-13274, 2019
Verification, improvement and application of aerosol optical depths in China Part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS
J Wei, L Sun, B Huang, M Bilal, Z Zhang, L Wang
Atmospheric Environment 175, 221-233, 2018
Comparison and evaluation of different MODIS aerosol optical depth products over the Beijing-Tianjin-Hebei region in China
J Wei, L Sun
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
A universal dynamic threshold cloud detection algorithm (UDTCDA) supported by a prior surface reflectance database
L Sun, J Wei, J Wang, X Mi, Y Guo, Y Lv, Y Yang, P Gan, X Zhou, C Jia, ...
Journal of Geophysical Research: Atmospheres 121 (12), 7172-7196, 2016
Performance of the NPP-VIIRS and Aqua-MODIS aerosol optical depth products over the Yangtze River Basin
L He, L Wang, A Lin, M Zhang, M Bilal, J Wei
Remote Sensing 10 (1), 117, 2018
Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees
J Wei, Z Li, M Cribb, W Huang, W Xue, L Sun, J Guo, Y Peng, J Li, A ...
Atmospheric Chemistry and Physics 20 (6), 3273–3289, 2020
Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products
J Wei, Y Peng, R Mahmood, L Sun, J Guo
Atmospheric Chemistry & Physics 19 (10), 2019
Validation of Himawari-8 aerosol optical depth retrievals over China
Z Zhang, W Wu, M Fan, M Tao, J Wei, J Jin, Y Tan, Q Wang
Atmospheric Environment 199, 32-44, 2019
Global validation of MODIS C6 and C6.1 merged aerosol products over diverse vegetated surfaces
M Bilal, M Nazeer, Z Qiu, X Ding, J Wei
Remote Sensing 10 (3), 475, 2018
Performance of MODIS Collection 6.1 Level 3 aerosol products in spatial-temporal variations over land
J Wei, Y Peng, J Guo, L Sun
Atmospheric Environment 206, 30-44, 2019
A simple and universal aerosol retrieval algorithm for Landsat series images over complex surfaces
J Wei, B Huang, L Sun, Z Zhang, L Wang, M Bilal
Journal of Geophysical Research: Atmospheres 122 (24), 13,338-13,355, 2017
Aerosol optical depth retrieval from visibility in China during 1973–2014
Z Zhang, W Wu, J Wei, Y Song, X Yan, L Zhu, Q Wang
Atmospheric Environment 171, 38-48, 2017
An Improved High‐Spatial‐Resolution Aerosol Retrieval Algorithm for MODIS Images Over Land
J Wei, L Sun, Y Peng, L Wang, Z Zhang, M Bilal, Y Ma
Journal of Geophysical Research: Atmospheres 123 (21), 12,291-12,307, 2018
Prediction of diffuse solar radiation based on multiple variables in China
L Wang, Y Lu, L Zou, L Feng, J Wei, W Qin, Z Niu
Renewable and Sustainable Energy Reviews 103, 151-216, 2019
Improved merge schemes for MODIS Collection 6.1 Dark Target and Deep Blue combined aerosol products
J Wei, Z Li, L Sun, Y Peng, L Wang
Atmospheric Environment 202, 315-327, 2019
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