| A spatiotemporal fusion based cloud removal method for remote sensing images with land cover changes H Shen, J Wu, Q Cheng, M Aihemaiti, C Zhang, Z Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 54 | 2019 |
| Mapping farmland soil organic carbon density in plains with combined cropping system extracted from NDVI time-series data Z Wu, Y Liu, Y Han, J Zhou, J Liu, J Wu Science of the Total Environment 754, 142120, 2021 | 38 | 2021 |
| Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data J Ma, H Shen, P Wu, J Wu, M Gao, C Meng Remote Sensing of Environment 278, 113083, 2022 | 30 | 2022 |
| Fusing Landsat 8 and Sentinel-2 data for 10-m dense time-series imagery using a degradation-term constrained deep network J Wu, L Lin, T Li, Q Cheng, C Zhang, H Shen International journal of applied earth observation and geoinformation 108 …, 2022 | 20 | 2022 |
| Deriving gapless CO2 concentrations using a geographically weighted neural network: China, 2014–2020 L Zhang, T Li, J Wu International Journal of Applied Earth Observation and Geoinformation 114 …, 2022 | 17 | 2022 |
| Remote sensing estimation of surface PM2. 5 concentrations using a deep learning model improved by data augmentation and a particle size constraint S Yin, T Li, X Cheng, J Wu Atmospheric Environment 287, 119282, 2022 | 13 | 2022 |
| Spatiotemporal fusion with only two remote sensing images as input J Wu, Q Cheng, H Li, S Li, X Guan, H Shen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 13 | 2020 |
| Joint estimation of PM2. 5 and O3 over China using a knowledge-informed neural network T Li, Q Yang, Y Wang, J Wu Geoscience Frontiers 14 (2), 101499, 2023 | 9 | 2023 |
| CAFE: A cross-attention based adaptive weighting fusion network for MODIS and Landsat spatiotemporal fusion L Lin, Y Shen, J Wu, F Nan IEEE Geoscience and Remote Sensing Letters, 2023 | 7 | 2023 |
| Hourly PM2.5 Concentration Monitoring With Spatiotemporal Continuity by the Fusion of Satellite and Station Observations J Wu, T Li, C Zhang, Q Cheng, H Shen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 6 | 2021 |
| An enhanced geographically and temporally weighted neural network for remote sensing estimation of surface ozone T Li, J Wu, J Chen, H Shen IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 5 | 2022 |
| Generating Sentinel-2 all-band 10-m data by sharpening 20/60-m bands: A hierarchical fusion network J Wu, L Lin, C Zhang, T Li, X Cheng, F Nan ISPRS Journal of Photogrammetry and Remote Sensing 196, 16-31, 2023 | 4 | 2023 |
| Generating daily high-resolution and full-coverage XCO2 across China from 2015 to 2020 based on OCO-2 and CAMS data T Li, J Wu, T Wang Science of The Total Environment 893, 164921, 2023 | 3 | 2023 |
| Inter-comparison and evaluation of global satellite XCO2 products H Yang, T Li, J Wu, L Zhang Geo-spatial Information Science, 1-14, 2023 | 2 | 2023 |
| A novel method for long time series passive microwave soil moisture downscaling over Central Tibet Plateau H Jiang, S Chen, X Li, J Wu, J Zhang, L Wu Remote Sensing 14 (12), 2902, 2022 | 2 | 2022 |
| Global estimates of gap-free and fine-scale CO2 concentrations during 2014–2020 from satellite and reanalysis data L Zhang, T Li, J Wu, H Yang Environment International 178, 108057, 2023 | 1 | 2023 |
