| PM2.5 Prediction Based on Random Forest, XGBoost, and Deep Learning Using Multisource Remote Sensing Data M Zamani Joharestani, C Cao, X Ni, B Bashir, S Talebiesfandarani Atmosphere 10 (7), 373, 2019 | 418 | 2019 |
| Mapping annual precipitation across mainland China in the period 2001–2010 from TRMM3B43 product using spatial downscaling approach Y Shi, L Song, Z Xia, Y Lin, RB Myneni, S Choi, L Wang, X Ni, C Lao, ... Remote Sensing 7 (5), 5849-5878, 2015 | 79 | 2015 |
| Spatio-Temporal Pattern Estimation of PM2.5 in Beijing-Tianjin-Hebei Region Based on MODIS AOD and Meteorological Data Using the Back Propagation Neural … X Ni, C Cao, Y Zhou, X Cui, R P. Singh Atmosphere 9 (3), 105, 2018 | 49 | 2018 |
| Retrieving surface soil moisture over wheat and soybean fields during growing season using modified water cloud model from Radarsat-2 SAR data M Xing, B He, X Ni, J Wang, G An, J Shang, X Huang Remote Sensing 11 (16), 1956, 2019 | 41 | 2019 |
| The classification of noise-afflicted remotely sensed data using three machine-learning techniques: effect of different levels and types of noise on accuracy S Boonprong, C Cao, W Chen, X Ni, M Xu, BK Acharya ISPRS International Journal of Geo-Information 7 (7), 274, 2018 | 33 | 2018 |
| Quantitative estimation of the shrub canopy LAI from atmosphere-corrected HJ-1 CCD data in Mu Us Sandland W Chen, CX Cao, QS He, HD Guo, H Zhang, RQ Li, S Zheng, M Xu, ... Science China Earth Sciences 53, 26-33, 2010 | 30 | 2010 |
| Mapping forest canopy height over continental China using multi-source remote sensing data X Ni, Y Zhou, C Cao, X Wang, Y Shi, T Park, S Choi, RB Myneni Remote Sensing 7 (7), 8436-8452, 2015 | 26 | 2015 |
| Monitoring and predicting the degradation of a semi-arid wetland due to climate change and water abstraction in the Ordos Larus relictus National Nature Reserve … D Liu, C Cao, W Chen, X Ni, R Tian, X Xing Geomatics, Natural Hazards and Risk 8 (2), 367-383, 2017 | 24 | 2017 |
| Allometric scaling and resource limitations model of tree heights: Part 1. Model optimization and testing over continental USA Y Shi, S Choi, X Ni, S Ganguly, G Zhang, HV Duong, MA Lefsky, M Simard, ... Remote Sensing 5 (1), 284-306, 2013 | 21 | 2013 |
| Allometric scaling and resource limitations model of tree heights: Part 2. Site based testing of the model S Choi, X Ni, Y Shi, S Ganguly, G Zhang, HV Duong, MA Lefsky, M Simard, ... Remote Sensing 5 (1), 202-223, 2013 | 20 | 2013 |
| Allometric scaling and resource limitations model of tree heights: Part 3. Model optimization and testing over continental China X Ni, T Park, S Choi, Y Shi, C Cao, X Wang, MA Lefsky, M Simard, ... Remote Sensing 6 (5), 3533-3553, 2014 | 19 | 2014 |
| The retrieval of shrub fractional cover based on a geometric-optical model in combination with linear spectral mixture analysis C Cao, W Chen, G Li, H Jia, W Ji, M Xu, M Gao, X Ni, J Zhao, S Zheng, ... Canadian Journal of Remote Sensing 37 (4), 348-358, 2011 | 16 | 2011 |
| Long-term snow disasters during 1982–2012 in the Tibetan Plateau using satellite data H Yin, C Cao, M Xu, W Chen, X Ni, X Chen Geomatics, Natural Hazards and Risk 8 (2), 466-477, 2017 | 15 | 2017 |
| Estimating Effective Leaf Area Index of Winter Wheat Based on UAV Point Cloud Data J Yang, M Xing, Q Tan, J Shang, Y Song, X Ni, J Wang, M Xu Drones 7 (5), 299, 2023 | 14 | 2023 |
| Automatic registration of CCD images and IR images based on invariant feature L Ding, X Ni, T Jiang, S Hu | 14 | 2011 |
| A fully automatic registration approach based on contour and SIFT for HJ-1 images XL Ni, CX Cao, L Ding, T Jiang, H Zhang, HC Jia, GH Li, J Zhao, W Chen, ... Science China Earth Sciences 55, 1679-1687, 2012 | 13 | 2012 |
| Mapping forest canopy height in mountainous areas using ZiYuan-3 stereo images and Landsat data M Liu, C Cao, Y Dang, X Ni Forests 10 (2), 105, 2019 | 10 | 2019 |
| A study on spatial and temporal dynamic changes of desertification in northern China from 2000 to 2020 Z Jiang, X Ni, M Xing Remote Sensing 15 (5), 1368, 2023 | 9 | 2023 |
| Application of the metabolic scaling theory and water–energy balance equation to model large‐scale patterns of maximum forest canopy height S Choi, CP Kempes, T Park, S Ganguly, W Wang, L Xu, S Basu, ... Global Ecology and Biogeography 25 (12), 1428-1442, 2016 | 9 | 2016 |
| Forest height estimation and change monitoring based on artificial neural network using Geoscience Laser Altimeter System and Landsat data X Ni, M Xu, C Cao, W Chen, B Yang, B Xie Journal of Applied Remote Sensing 14 (2), 022207-022207, 2020 | 8 | 2020 |
Ranga B. MyneniDepartment of Earth & Environment, Boston University, USA在 bu.edu 的电子邮件经过验证
