46 citations as recorded by crossref.

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3. Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China A. Nadeem et al. 10.3390/rs15030812
4. Deep learning in environmental remote sensing: Achievements and challenges Q. Yuan et al. 10.1016/j.rse.2020.111716
5. Sensitive Feature Evaluation for Soil Moisture Retrieval Based on Multi-Source Remote Sensing Data with Few In-Situ Measurements: A Case Study of the Continental U.S. L. Zhang et al. 10.3390/w13152003
6. A Semi-Physical Approach for Downscaling Satellite Soil Moisture Data in a Typical Cold Alpine Area, Northwest China Z. Cao et al. 10.3390/rs13030509
7. Estimation and Assessment of the Root Zone Soil Moisture from Near-Surface Measurements over Huai River Basin E. Liu et al. 10.3390/atmos14010124
8. Surface soil moisture retrieval based on transfer learning using SAR data on a local scale E. Hemmati & M. Sahebi 10.1080/01431161.2024.2329529
9. Downscaling CLDAS Soil Moisture Product by Integrating Sentinel-1 and Sentinel-2 Data over Agricultural Area H. Ma et al. 10.1080/07038992.2022.2114891
10. Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review I. Senanayake et al. 10.3390/rs16122067
11. Improving SMAP freeze-thaw retrievals for pavements using effective soil temperature from GEOS-5: Evaluation against in situ road temperature data over the U.S S. Kraatz et al. 10.1016/j.rse.2019.111545
12. A Remote Sensing Driven Soil Moisture Estimator: Uncertain Downscaling With Geostatistically Based Use of Ancillary Data M. Karamouz et al. 10.1029/2022WR031946
13. A New Approach for Soil Moisture Downscaling in the Presence of Seasonal Difference R. Yan & J. Bai 10.3390/rs12172818
14. Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data D. Power et al. 10.5194/gmd-14-7287-2021
15. A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data J. Liu et al. 10.1029/2021GL096847
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17. Spatial Downscaling Methods of Soil Moisture Based on Multisource Remote Sensing Data and Its Application S. Chen et al. 10.3390/w11071401
18. Disaggregating satellite soil moisture products based on soil thermal inertia: A comparison of a downscaling model built at two spatial scales I. Senanayake et al. 10.1016/j.jhydrol.2020.125894
19. Assessing the Potential of Combined SMAP and In-Situ Soil Moisture for Improving Streamflow Forecast S. Wakigari & R. Leconte 10.3390/hydrology10020031
20. Long-Term and High-Resolution Global Time Series of Brightness Temperature from Copula-Based Fusion of SMAP Enhanced and SMOS Data C. Lorenz et al. 10.3390/rs10111842
21. Space–time variability in soil moisture droughts in the Himalayan region S. Nepal et al. 10.5194/hess-25-1761-2021
22. Soil-Permittivity Estimation Under Grassland Using Machine-Learning and Polarimetric Decomposition Techniques R. Hansch et al. 10.1109/TGRS.2020.3010104
23. How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture? L. Zappa et al. 10.1016/j.jag.2022.102979
24. A machine learning-based approach for generating high-resolution soil moisture from SMAP products Y. Zhang et al. 10.1080/10106049.2022.2105406
25. Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. 10.5194/essd-13-2001-2021
26. A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation Y. Fang et al. 10.1109/JSTARS.2022.3177081
27. Improving SMAP soil moisture spatial resolution in different climatic conditions using remote sensing data F. Imanpour et al. 10.1007/s10661-023-12107-7
28. 地球表层特征参量反演与模拟的机理<bold>-</bold>学习耦合范式 焕. 沈 & 良. 张 10.1360/SSTe-2022-0089
29. Improved downscaling of microwave-based surface soil moisture over a typical subtropical monsoon region L. Li et al. 10.1016/j.jhydrol.2023.130431
30. Estimating catchment scale soil moisture at a high spatial resolution: Integrating remote sensing and machine learning I. Senanayake et al. 10.1016/j.scitotenv.2021.145924
31. The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
32. An Intercomparison Study of Algorithms for Downscaling SMAP Radiometer Soil Moisture Retrievals L. Fang et al. 10.1175/JHM-D-19-0034.1
33. A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture With MODIS Products Using Self-Adaptive Window F. Wen et al. 10.1109/TGRS.2019.2941696
34. An Approach for Downscaling SMAP Soil Moisture by Combining Sentinel-1 SAR and MODIS Data J. Bai et al. 10.3390/rs11232736
35. Gap-free global annual soil moisture: 15 km grids for 1991–2018 M. Guevara et al. 10.5194/essd-13-1711-2021
36. Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region L. Zappa et al. 10.3390/rs11222596
37. Near‐real‐time one‐kilometre Soil Moisture Active Passive soil moisture data product J. Yin et al. 10.1002/hyp.13857
38. Daily High-Resolution Land Surface Freeze/Thaw Detection Using Sentinel-1 and AMSR2 Data J. Wang et al. 10.3390/rs14122854
39. Enhancing Spatial Resolution of SMAP Soil Moisture Products through Spatial Downscaling over a Large Watershed: A Case Study for the Susquehanna River Basin in the Northeastern United States S. Wakigari & R. Leconte 10.3390/rs14030776
40. Using of Remote Sensing-Based Auxiliary Variables for Soil Moisture Scaling and Mapping Z. Zhao et al. 10.3390/rs14143373
41. Enhanced Surface Soil Moisture Retrieval at High Spatial Resolution From the Integration of Satellite Observations and Soil Pedotransfer Functions P. Leng et al. 10.1109/TGRS.2022.3222493
42. Global land surface evapotranspiration monitoring by ETMonitor model driven by multi-source satellite earth observations C. Zheng et al. 10.1016/j.jhydrol.2022.128444
43. Potential of Remote Sensing Images for Soil Moisture Retrieving Using Ensemble Learning Methods in Vegetation-Covered Area Y. Gao et al. 10.1109/JSTARS.2023.3311096
44. An Operational Downscaling Method of Solar-Induced Chlorophyll Fluorescence (SIF) for Regional Drought Monitoring Z. Hong et al. 10.3390/agriculture12040547
45. Quality Improvement of Satellite Soil Moisture Products by Fusing with In-Situ Measurements and GNSS-R Estimates in the Western Continental U.S. H. Xu et al. 10.3390/rs10091351
46. A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks Y. Zhang et al. 10.5194/bg-15-5779-2018