48 citations as recorded by crossref.

1. L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records R. van der Schalie et al. 10.3390/rs13132480
2. Synergistic Calibration of a Hydrological Model Using Discharge and Remotely Sensed Soil Moisture in the Paraná River Basin A. Fleischmann et al. 10.3390/rs13163256
3. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications J. Muñoz-Sabater et al. 10.5194/essd-13-4349-2021
4. A Triple Collocation-Based Comparison of Three L-Band Soil Moisture Datasets, SMAP, SMOS-IC, and SMOS, Over Varied Climates and Land Covers S. Kim et al. 10.3389/frwa.2021.693172
5. The Boreal–Arctic Wetland and Lake Dataset (BAWLD) D. Olefeldt et al. 10.5194/essd-13-5127-2021
6. An alternative AMSR2 vegetation optical depth for monitoring vegetation at large scales M. Wang et al. 10.1016/j.rse.2021.112556
7. Quantification and possible causes of declining groundwater resources in the Euro-Mediterranean region from 2003 to 2020 J. Xanke & T. Liesch 10.1007/s10040-021-02448-3
8. Closing the Water Cycle from Observations across Scales: Where Do We Stand? W. Dorigo et al. 10.1175/BAMS-D-19-0316.1
9. Assessment of Agricultural Drought Using Soil Water Deficit Index Based on ERA5-Land Soil Moisture Data in Four Southern Provinces of China R. Zhang et al. 10.3390/agriculture11050411
10. Downscaling ESA CCI Soil Moisture Based on Soil and Vegetation Component Temperatures Derived From MODIS Data C. Song et al. 10.1109/JSTARS.2022.3155463
11. Potential caveats in land surface model evaluations using the US drought monitor: roles of base periods and drought indicators H. Wang et al. 10.1088/1748-9326/ac3f63
12. Reappraisal of SMAP inversion algorithms for soil moisture and vegetation optical depth L. Gao et al. 10.1016/j.rse.2021.112627
13. Trends and drivers of recent summer drying in Switzerland S. Scherrer et al. 10.1088/2515-7620/ac4fb9
14. Agricultural Drought Trends on the Iberian Peninsula: An Analysis Using Modeled and Reanalysis Soil Moisture Products L. Almendra-Martín et al. 10.3390/atmos12020236
15. Impact of Soil Moisture Data Assimilation on Analysis and Medium-Range Forecasts in an Operational Global Data Assimilation and Prediction System S. Jun et al. 10.3390/atmos12091089
16. Rethinking Satellite Data Merging: From Averaging to SNR Optimization S. Kim et al. 10.1109/TGRS.2021.3107028
17. Comprehensive evaluation of satellite-based and reanalysis soil moisture products using in situ observations over China X. Ling et al. 10.5194/hess-25-4209-2021
18. Surface temperature controls the pattern of post-earthquake landslide activity M. Loche et al. 10.1038/s41598-022-04992-8
19. Towards near real-time national-scale soil water content monitoring using data fusion as a downscaling alternative I. Fuentes et al. 10.1016/j.jhydrol.2022.127705
20. Soil moisture content retrieval from Landsat 8 data using ensemble learning Y. Zhang et al. 10.1016/j.isprsjprs.2022.01.005
21. Improving surface soil moisture retrievals through a novel assimilation algorithm to estimate both model and observation errors J. Tian et al. 10.1016/j.rse.2021.112802
22. Ambiguous Agricultural Drought: Characterising Soil Moisture and Vegetation Droughts in Europe from Earth Observation T. van Hateren et al. 10.3390/rs13101990
23. ASCAT IB: A radar-based vegetation optical depth retrieved from the ASCAT scatterometer satellite X. Liu et al. 10.1016/j.rse.2021.112587
24. InterComparison and Evaluation of MultiSource Soil Moisture Products in China H. Li et al. 10.1029/2021EA001845
25. Assessment of SMAP and SMOS soil moisture products using triple collocation method over Inner Mongolia F. Hu et al. 10.1016/j.ejrh.2022.101027
26. Field-scale soil moisture bridges the spatial-scale gap between drought monitoring and agricultural yields N. Vergopolan et al. 10.5194/hess-25-1827-2021
27. Assimilation of SMAP Brightness Temperature Observations in the GEOS Land–Atmosphere Data Assimilation System R. Reichle et al. 10.1109/JSTARS.2021.3118595
28. MSWX: Global 3-Hourly 0.1° Bias-Corrected Meteorological Data Including Near-Real-Time Updates and Forecast Ensembles H. Beck et al. 10.1175/BAMS-D-21-0145.1
29. Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China J. Zheng et al. 10.1016/j.rse.2022.112891
30. Influence patterns of soil moisture change on surface-air temperature difference under different climatic background K. Jiang et al. 10.1016/j.scitotenv.2022.153607
31. Amplified signals of soil moisture and evaporative stresses across Poland in the twenty-first century U. Somorowska 10.1016/j.scitotenv.2021.151465
32. Development of observation-based global multilayer soil moisture products for 1970 to 2016 Y. Wang et al. 10.5194/essd-13-4385-2021
33. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US N. Vergopolan et al. 10.1038/s41597-021-01050-2
34. The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
35. Assimilation of Satellite-Derived Soil Moisture and Brightness Temperature in Land Surface Models: A Review R. Khandan et al. 10.3390/rs14030770
36. Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning Q. Li et al. 10.1016/j.jhydrol.2021.126698
37. Evaluation of Six Satellite-Based Soil Moisture Products Based on in situ Measurements in Hunan Province, Central China J. Fan et al. 10.3389/fenvs.2022.829046
38. Analyzing Effects of Crops on SMAP Satellite-Based Soil Moisture Using a Rainfall–Runoff Model in the U.S. Corn Belt N. Jadidoleslam et al. 10.1109/JSTARS.2021.3131133
39. Incorporating Advanced Scatterometer Surface and Root Zone Soil Moisture Products into the Calibration of a Conceptual Semi-Distributed Hydrological Model M. Kubáň et al. 10.3390/w13233366
40. The lagged effect and impact of soil moisture drought on terrestrial ecosystem water use efficiency Y. Ji et al. 10.1016/j.ecolind.2021.108349
41. Assessment of the importance of increasing temperature and decreasing soil moisture on global ecosystem productivity using solar‐induced chlorophyll fluorescence C. Dang et al. 10.1111/gcb.16043
42. Process Controls on Flood Seasonality in Brazil V. Chagas et al. 10.1029/2021GL096754
43. Towards Consistent Soil Moisture Records from China’s FengYun-3 Microwave Observations G. Wang et al. 10.3390/rs14051225
44. Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions M. Piles et al. 10.1109/TGRS.2021.3057928
45. Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging D. Hagan et al. 10.3390/rs12132164
46. An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003–2018 Y. Chen et al. 10.5194/essd-13-1-2021
47. Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets Z. Hu et al. 10.3389/feart.2021.654848
48. A Novel Scheme for Merging Active and Passive Satellite Soil Moisture Retrievals Based on Maximizing the Signal to Noise Ratio B. Mousa et al. 10.3390/rs12223804