| A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering S Xu, J Cheng Remote Sensing of Environment 254, 112256, 2021 | 117 | 2021 |
| A stepwise downscaling method for generating high-resolution land surface temperature from AMSR-E data Q Zhang, N Wang, J Cheng, S Xu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 43 | 2020 |
| Reconstructing all-weather land surface temperature using the bayesian maximum entropy method over the Tibetan plateau and Heihe river basin S Xu, J Cheng, Q Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 38 | 2019 |
| Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data A Jia, S Liang, D Wang, L Ma, Z Wang, S Xu Earth System Science Data 15 (2), 869-895, 2023 | 34 | 2023 |
| A random forest-based data fusion method for obtaining all-weather land surface temperature with high spatial resolution S Xu, J Cheng, Q Zhang Remote Sensing 13 (11), 2211, 2021 | 29 | 2021 |
| Assessment of gridded datasets of various near surface temperature variables over Heihe River Basin: Uncertainties, spatial heterogeneity and clear-sky bias S Xu, D Wang, S Liang, Y Liu, A Jia International Journal of Applied Earth Observation and Geoinformation 120 …, 2023 | 9 | 2023 |
| SimFair: Physics-guided fairness-aware learning with simulation models Z Wang, Y Xie, Z Li, X Jia, Z Jiang, A Jia, S Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22420 …, 2024 | 8 | 2024 |
| Advances in Methodology and Generation of All-Weather Land Surface Temperature Products From Polar-Orbiting and Geostationary Satellites: A comprehensive review A Jia, S Liang, D Wang, K Mallick, S Zhou, T Hu, S Xu IEEE Geoscience and Remote Sensing Magazine, 2024 | 6 | 2024 |
| Assessing the reliability of the MODIS LST product to detect temporal variability S Xu, D Wang, S Liang, Y Liu, A Jia IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023 | 5 | 2023 |
| A novel approach to estimate land surface temperature from landsat top-of-atmosphere reflective and emissive data using transfer-learning neural network S Xu, D Wang, S Liang, A Jia, R Li, Z Wang, Y Liu Science of the Total Environment 955, 176783, 2024 | 3 | 2024 |
| A comprehensive review A JIA, S LIANG, D WANG, K MALLICK, S ZHOU, T HU, S XU | 1 | 2006 |
| All-weather LST: Methodology and Experiment on JPSS/VIIRS LST S Xu, Y Liu, Y Yu, P Yu AGU Fall Meeting Abstracts 2024, B21O-1487, 2024 | | 2024 |
| Validation and Performance Evaluation of NOAA-21 VIIRS LST Product Y Liu, Y Yu, P Yu, S Xu, H Wang AGU Fall Meeting Abstracts 2024, B13G-1613, 2024 | | 2024 |
| Validation of gridded datasets of near-surface temperature variables: uncertainties, spatial heterogeneity and clear-sky bias S Xu, D Wang AGU Fall Meeting Abstracts 2022, B45H-1818, 2022 | | 2022 |