| 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, 2015 | 126 | 2015 |
| 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 | 107 | 2017 |
| 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 | 94 | 2016 |
| Validation and comparison of MODIS C6. 1 and C6 aerosol products over Beijing, China X Tian, Q Liu, X Li, J Wei Remote Sensing 10 (12), 2021, 2018 | 40 | 2018 |
| Aerosol optical depth retrieval from Landsat 8 OLI images over urban areas supported by MODIS BRDF/Albedo data X Tian, Q Liu, Z Song, B Dou, X Li IEEE Geoscience and Remote Sensing Letters 15 (7), 976-980, 2018 | 32 | 2018 |
| Evaluation of ecological environment vulnerability for Sanjiangyuan area. J WEI, Y GUO, L SUN, T JIANG, X TIAN, G SUN Chinese Journal of Ecology 34 (7), 1968, 2015 | 30 | 2015 |
| Retrieval of aerosol optical depth in the arid or semiarid region of northern Xinjiang, China X Tian, S Liu, L Sun, Q Liu Remote Sensing 10 (2), 197, 2018 | 25 | 2018 |
| Validation and accuracy assessment of MODIS C6. 1 aerosol products over the heavy aerosol loading area X Tian, Z Gao Atmosphere 10 (9), 548, 2019 | 24 | 2019 |
| Analysis of the temporal and spatial variation of aerosols in the Beijing-Tianjin-Hebei region with a 1 km AOD product L Sun, RB Li, XP Tian, J Wei Aerosol and Air Quality Research 17 (3), 923-935, 2017 | 24 | 2017 |
| Evolution of satellite derived chlorophyll-a trends in the Bohai and Yellow Seas during 2002–2018: Comparison between linear and nonlinear trends Y Wang, X Tian, Z Gao Estuarine, Coastal and Shelf Science 259, 107449, 2021 | 14 | 2021 |
| Remote sensing methods for biomass estimation of green algae attached to nursery-nets and raft rope X Jiang, Z Gao, Q Zhang, Y Wang, X Tian, W Shang, F Xu Marine pollution bulletin 150, 110678, 2020 | 12 | 2020 |
| Retrieval of aerosol optical depth over arid areas from MODIS data X Tian, L Sun Atmosphere 7 (10), 134, 2016 | 12 | 2016 |
| Verification of MODIS C5 and C6 and their regional adaptability evaluation Y Yang, L Sun, J Wei, X Tian, C Jia J Shandong Univ Sci Technol 53 (5), 17-27, 2016 | 8 | 2016 |
| Improving MODIS aerosol estimates over land with the surface BRDF reflectances using the 3-D discrete cosine transform and RossThick-LiSparse models X Tian, Q Liu, Z Gao, Y Wang, X Li, J Wei IEEE Transactions on Geoscience and Remote Sensing 59 (12), 9851-9860, 2021 | 6 | 2021 |
| An improved DDV algorithm for the retrieval of aerosol optical depth from NOAA/AVHRR data R Li, L Sun, H Yu, J Wei, X Tian Journal of the Indian Society of Remote Sensing 49, 1141-1152, 2021 | 4 | 2021 |
| Land surface temperature retrieval from HJ-1B IRS supported by MODIS L Sun, H Yu, T Gao, X Tian, X Li 2013 Second International Conference on Agro-Geoinformatics (Agro …, 2013 | 4 | 2013 |
| A semi-empirical topographic correction model for multi-source satellite images S Xiao, X Tian, Q Liu, J Wen, Y Ma, Z Song ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018 | 2 | 2018 |
| Estimation of BRDF model kernel weights under an a priori knowledge-aided constraint X Tian, Z Gao, Q Liu, Y Wang, X Li Remote Sensing Letters 12 (2), 150-159, 2021 | 1 | 2021 |
| Improving MODIS aerosol estimates over land with the surface BRDF reflectances using the three-dimensional discrete cosine transform and RossThick-LiSparse models X Tian, Q Liu, Z Gao, Y Wang, J Wei IEEE Transactions on Geoscience and Remote Sensing, 2020 | 1 | 2020 |
| Contributors of the second edition Y Bai, J Cao, E Chen, J Chen, J Cheng, RE Dickinson, C Dou, J Du, ... Advanced Remote Sensing, ix-xiii, 2020 | | 2020 |
Jing WeiUniversity of Maryland, Beijing Normal UniversityVerified email at umd.edu
