48 citations as recorded by crossref.

1. Spatiotemporal Reconstruction of MODIS Normalized Difference Snow Index Products Using U-Net with Partial Convolutions D. Xing et al. 10.3390/rs14081795
2. Influences of Using Different Satellite Soil Moisture Products on SM2RAIN for Rainfall Estimation Across the Tibetan Plateau L. Miao et al. 10.1109/JSTARS.2023.3296455
3. An innovative method for measuring the hysteresis effects of soil moisture on meteorological variables at various time scales and climate conditions Q. Tian et al. 10.1080/10095020.2023.2280574
4. Reconstructing long-term global satellite-based soil moisture data using deep learning method Y. Hu et al. 10.3389/feart.2023.1130853
5. Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model T. Ding et al. 10.1016/j.jag.2024.104003
6. Temporal Gap‐Filling of 12‐Hourly SMAP Soil Moisture Over the CONUS Using Water Balance Budgeting R. Zhang et al. 10.1029/2023WR034457
7. Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds Y. Ding et al. 10.1109/TGRS.2022.3202046
8. Generating a long-term (2003−2020) hourly 0.25° global PM2.5 dataset via spatiotemporal downscaling of CAMS with deep learning (DeepCAMS) Y. Xiao et al. 10.1016/j.scitotenv.2022.157747
9. SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 Q. Zhang et al. 10.5194/essd-14-4473-2022
10. A consistent record of vegetation optical depth retrieved from the AMSR-E and AMSR2 X-band observations M. Wang et al. 10.1016/j.jag.2021.102609
11. Generating a Long-Term Spatiotemporally Continuous Melt Pond Fraction Dataset for Arctic Sea Ice Using an Artificial Neural Network and a Statistical-Based Temporal Filter Z. Peng et al. 10.3390/rs14184538
12. Robust Thick Cloud Removal for Multitemporal Remote Sensing Images Using Coupled Tensor Factorization J. Lin et al. 10.1109/TGRS.2022.3140800
13. Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer Y. Xiao et al. 10.1016/j.jag.2022.102731
14. Estimation of Snow Depth from AMSR2 and MODIS Data based on Deep Residual Learning Network D. Xing et al. 10.3390/rs14205089
15. Reconstruction of a spatially seamless, daily SMAP (SSD_SMAP) surface soil moisture dataset from 2015 to 2021 H. Yang & Q. Wang 10.1016/j.jhydrol.2023.129579
16. Cross-calibration between MWRI and AMSR2 to improve consistency of snow depth products S. Wei et al. 10.1016/j.rcar.2024.08.002
17. A 1 km daily soil moisture dataset over China using in situ measurement and machine learning Q. Li et al. 10.5194/essd-14-5267-2022
18. Estimation of Evapotranspiration and Its Components across China Based on a Modified Priestley–Taylor Algorithm Using Monthly Multi-Layer Soil Moisture Data W. Xing et al. 10.3390/rs13163118
19. Generation of Spatial-Seamless AMSR2 Land Surface Temperature in China During 2012–2020 Using a Deep Neural Network Y. Lian et al. 10.1109/TGRS.2023.3247806
20. Generation of global 1 km daily soil moisture product from 2000 to 2020 using ensemble learning Y. Zhang et al. 10.5194/essd-15-2055-2023
21. Reconstruction of ESA CCI soil moisture based on DCT-PLS and in situ soil moisture X. Guo et al. 10.2166/nh.2022.058
22. A robust gap-filling approach for European Space Agency Climate Change Initiative (ESA CCI) soil moisture integrating satellite observations, model-driven knowledge, and spatiotemporal machine learning K. Liu et al. 10.5194/hess-27-577-2023
23. An Integrated Learning Framework for Seamless High-Resolution Soil Moisture Estimation Y. Jing et al. 10.1109/TGRS.2024.3461717
24. Evaluation of Several Satellite-Based Soil Moisture Products in the Continental US S. Feng et al. 10.3390/s22249977
25. Quantitative Assessment of Cropland Exposure to Agricultural Drought in the Greater Mekong Subregion W. Ming et al. 10.3390/rs15112737
26. A Hybrid Triple Collocation-Deep Learning Approach for Improving Soil Moisture Estimation from Satellite and Model-Based Data W. Ming et al. 10.3390/rs14071744
27. Spatial Gap-Filling of SMAP Soil Moisture Pixels Over Tibetan Plateau via Machine Learning Versus Geostatistics C. Tong et al. 10.1109/JSTARS.2021.3112623
28. A Knowledge Optimization-Driven Network With Normalizer-Free Group ResNet Prior for Remote Sensing Image Pan-Sharpening J. He et al. 10.1109/TGRS.2022.3186916
29. Refinement of NOAA AMSR-2 Soil Moisture Data Product: 1. Intercomparisons of the Commonly Used Machine-Learning Models J. Yin et al. 10.1109/TGRS.2023.3280173
30. Coastline target detection based on UAV hyperspectral remote sensing images S. Zhao et al. 10.3389/fmars.2024.1452737
31. Validation of Multiple Soil Moisture Products over an Intensive Agricultural Region: Overall Accuracy and Diverse Responses to Precipitation and Irrigation Events X. Fan et al. 10.3390/rs14143339
32. Hyperspectral Image Denoising: From Model-Driven, Data-Driven, to Model-Data-Driven Q. Zhang et al. 10.1109/TNNLS.2023.3278866
33. Reconstruction of Historical SMAP Soil Moisture Dataset From 1979 to 2015 Using CCI Time-Series H. Yang et al. 10.1109/TGRS.2024.3360092
34. Bridging spatio-temporal discontinuities in global soil moisture mapping by coupling physics in deep learning Z. Wei et al. 10.1016/j.rse.2024.114371
35. Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images Q. Zhang et al. 10.1016/j.isprsjprs.2021.04.021
36. The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
37. A Novel Merging Framework for Generating High-Accuracy Global Soil Moisture by Error Decomposition Through Multiple Collocation Analysis X. Min et al. 10.1109/TGRS.2024.3470800
38. Remote sensing image gap filling based on spatial-spectral random forests Q. Wang et al. 10.1016/j.srs.2022.100048
39. Satellite Soil Moisture Data Reconstruction in the Temporal and Spatial Domains: Latent Error Assessments and Performances for Tracing Rainstorms and Droughts Y. Liu et al. 10.3390/rs14194841
40. Reconstructing a Gap-Free MODIS Normalized Difference Snow Index Product Using a Long Short-Term Memory Network J. Hou et al. 10.1109/TGRS.2022.3178421
41. Beyond being wise after the event: Combining spatial, temporal and spectral information for Himawari-8 early-stage wildfire detection Q. Zhang et al. 10.1016/j.jag.2023.103506
42. A spatial downscaling method for SMAP soil moisture considering vegetation memory and spatiotemporal fusion C. Cui et al. 10.1080/17538947.2024.2367729
43. A comprehensive review of spatial-temporal-spectral information reconstruction techniques Q. Wang et al. 10.1016/j.srs.2023.100102
44. Artificial Neural Network-Based Microwave Satellite Soil Moisture Reconstruction over the Qinghai–Tibet Plateau, China J. Wang & D. Xu 10.3390/rs13245156
45. DsTer: A dense spectral transformer for remote sensing spectral super-resolution J. He et al. 10.1016/j.jag.2022.102773
46. Reconstruction of Global Long-Term Gap-Free Daily Surface Soil Moisture from 2002 to 2020 Based on a Pixel-Wise Machine Learning Method P. Mi et al. 10.3390/rs15082116
47. Enhancing Global Surface Soil Moisture Estimation From ESA CCI and SMAP Product With a Conditional Variational Autoencoder C. Shi et al. 10.1109/JSTARS.2024.3393828
48. Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019 Q. Zhang et al. 10.5194/essd-13-1385-2021