| A synergistic methodology for soil moisture estimation in an alpine prairie using radar and optical satellite data B He, M Xing, X Bai Remote Sensing 6 (11), 10966-10985, 2014 | 97 | 2014 |
| Estimating soil moisture over winter wheat fields during growing season using machine-learning methods L Chen, M Xing, B He, J Wang, J Shang, X Huang, M Xu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 71 | 2021 |
| Using machine learning for estimating rice chlorophyll content from in situ hyperspectral data G An, M Xing, B He, C Liao, X Huang, J Shang, H Kang Remote Sensing 12 (18), 3104, 2020 | 67 | 2020 |
| Assessment of the dual polarimetric sentinel-1A data for forest fuel moisture content estimation L Wang, X Quan, B He, M Yebra, M Xing, X Liu Remote Sensing 11 (13), 1568, 2019 | 56 | 2019 |
| Retrieval of leaf area index in alpine wetlands using a two-layer canopy reflectance model B He, X Quan, M Xing International Journal of Applied Earth Observation and Geoinformation 21, 78-91, 2013 | 46 | 2013 |
| 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 | 43 | 2019 |
| Soil moisture retrieval using SAR backscattering ratio method during the crop growing season M Xing, L Chen, J Wang, J Shang, X Huang Remote Sensing 14 (13), 3210, 2022 | 26 | 2022 |
| Assessment of different vegetation parameters for parameterizing the coupled water cloud model and advanced integral equation model for soil moisture retrieval using time … L Wang, B He, X Bai, M Xing Photogrammetric Engineering & Remote Sensing 85 (1), 43-54, 2019 | 24 | 2019 |
| 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 | 23 | 2023 |
| Method for soil moisture retrieval in arid prairie using TerraSAR-X data X Bai, B He, M Xing, X Li Journal of Applied Remote Sensing 9 (1), 096062-096062, 2015 | 23 | 2015 |
| 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 | 17 | 2023 |
| An extended approach for biomass estimation in a mixed vegetation area using ASAR and TM data M Xing, X Quan, X Li, B He Photogrammetric Engineering & Remote Sensing 80 (5), 429-438, 2014 | 16 | 2014 |
| A multi-temporal binary-tree classification using polarimetric RADARSAT-2 imagery X Huang, C Liao, M Xing, B Ziniti, J Wang, J Shang, J Liu, T Dong, Q Xie, ... Remote Sensing of Environment 235, 111478, 2019 | 15 | 2019 |
| Integration method to estimate above-ground biomass in arid prairie regions using active and passive remote sensing data M Xing, B He, X Li Journal of Applied Remote Sensing 8 (1), 083677-083677, 2014 | 15 | 2014 |
| Extraction of areas of rice false smut infection using UAV hyperspectral data G An, M Xing, B He, H Kang, J Shang, C Liao, X Huang, H Zhang Remote sensing 13 (16), 3185, 2021 | 14 | 2021 |
| Retrieving soil moisture over soybean fields during growing season through polarimetric decomposition T Xiao, M Xing, B He, J Wang, J Shang, X Huang, X Ni IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 8 | 2020 |
| A ground point fitting method for winter wheat height estimation using UAV-based SfM point cloud data X Zhou, M Xing, B He, J Wang, Y Song, J Shang, C Liao, M Xu, X Ni Drones 7 (7), 406, 2023 | 7 | 2023 |
| Relationships between burn severity and environmental drivers in the temperate coniferous forest of northern China C Yin, M Xing, M Yebra, X Liu Remote Sensing 13 (24), 5127, 2021 | 7 | 2021 |
| Rice false smut monitoring based on band selection of UAV hyperspectral data Y Wang, M Xing, H Zhang, B He, Y Zhang Remote Sensing 15 (12), 2961, 2023 | 6 | 2023 |
| Estimating soil moisture over winter wheat fields during growing season using RADARSAT-2 data L Chen, M Xing, B He, J Wang, M Xu, Y Song, X Huang Remote Sensing 14 (9), 2232, 2022 | 5 | 2022 |