51 citations as recorded by crossref.

1. Spatially enhanced passive microwave derived soil moisture: Capabilities and opportunities S. Sabaghy et al. 10.1016/j.rse.2018.02.065
2. Very High Spatial Resolution Downscaled SMAP Radiometer Soil Moisture in the CONUS Using VIIRS/MODIS Data B. Fang et al. 10.1109/JSTARS.2021.3076026
3. Flow Prediction Using Remotely Sensed Soil Moisture in Irish Catchments C. Yang & F. O’Loughlin 10.3390/w12082202
4. A spatial downscaling of soil moisture from rainfall, temperature, and AMSR2 using a Gaussian-mixture nonstationary hidden Markov model M. Kwon et al. 10.1016/j.jhydrol.2017.12.015
5. Triangle Space-Based Surface Soil Moisture Estimation by the Synergistic Use of <inline-formula> <tex-math notation="LaTeX">$In\ Situ$ </tex-math> </inline-formula> Measurements and Optical/Thermal Infrared Remote Sensing: An Alternative to Conventional Validations W. Zhao et al. 10.1109/TGRS.2018.2825284
6. Evaluation and validation of a high spatial resolution satellite soil moisture product over the Continental United States B. Fang et al. 10.1016/j.jhydrol.2020.125043
7. A practical approach for deriving all-weather soil moisture content using combined satellite and meteorological data P. Leng et al. 10.1016/j.isprsjprs.2017.07.013
8. A method for estimating surface soil moisture from diurnal land surface temperature observations over vegetated regions: A preliminary result over an AmeriFlux site and the REMEDHUS network Y. Geng et al. 10.1016/j.jhydrol.2022.129020
9. A practical method for reducing terrain effect on land surface temperature using random forest regression W. Zhao et al. 10.1016/j.rse.2018.12.008
10. CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture B. Aragon et al. 10.3390/rs10121867
11. Intercomparison of two trapezoid-based soil moisture downscaling methods using three scaling factors J. Tian et al. 10.1080/17538947.2018.1447031
12. A review of spatial downscaling of satellite remotely sensed soil moisture J. Peng et al. 10.1002/2016RG000543
13. Spatial Disaggregation of Coarse Soil Moisture Data by Using High-Resolution Remotely Sensed Vegetation Products S. Kim et al. 10.1109/LGRS.2017.2725945
14. Global assessments of two blended microwave soil moisture products CCI and SMOPS with in-situ measurements and reanalysis data Y. Wang et al. 10.1016/j.jag.2020.102234
15. Recent Advances in Soil Moisture Estimation from Remote Sensing J. Peng & A. Loew 10.3390/w9070530
16. Using ensemble learning to take advantage of high-resolution radar backscatter in conjunction with surface features to disaggregate SMAP soil moisture product A. Karami et al. 10.1080/01431161.2021.2022239
17. Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model P. Luo et al. 10.1016/j.isprsjprs.2022.01.009
18. Spatial Evaluation of Soil Moisture (SM), Land Surface Temperature (LST), and LST-Derived SM Indexes Dynamics during SMAPVEX12 H. Sun et al. 10.3390/s19051247
19. Application of the water-related spectral reflectance indices: A review S. Ma et al. 10.1016/j.ecolind.2018.10.049
20. A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation S. Kim et al. 10.1007/s41976-019-00025-7
21. Comprehensive analysis of alternative downscaled soil moisture products S. Sabaghy et al. 10.1016/j.rse.2019.111586
22. Soil moisture monitoring by downscaling of remote sensing products using LST/VI space derived from MODIS products A. Rostami et al. 10.2166/ws.2023.002
23. Evaluating Downscaling Factors of Microwave Satellite Soil Moisture Based on Machine Learning Method H. Sun & Y. Cui 10.3390/rs13010133
24. 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
25. Local- and Plot-Scale Measurements of Soil Moisture: Time and Spatially Resolved Field Techniques in Plain, Hill and Mountain Sites G. Raffelli et al. 10.3390/w9090706
26. A spatial downscaling approach for the SMAP passive surface soil moisture product using random forest regression W. Zhao et al. 10.1016/j.jhydrol.2018.06.081
27. Investigation of SMAP Active–Passive Downscaling Algorithms Using Combined Sentinel-1 SAR and SMAP Radiometer Data L. He et al. 10.1109/TGRS.2018.2842153
28. A New Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites over Europe and Africa and Its Validation N. Ghilain et al. 10.3390/rs11171968
29. 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
30. How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products L. Brocca et al. 10.1016/j.jag.2018.08.023
31. DSCALE_mod16: A Model for Disaggregating Microwave Satellite Soil Moisture with Land Surface Evapotranspiration Products and Gridded Meteorological Data H. Sun et al. 10.3390/rs12060980
32. Inter-comparison of several soil moisture downscaling methods over the Qinghai-Tibet Plateau, China Y. Qu et al. 10.1016/j.jhydrol.2020.125616
33. Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 B. Fang et al. 10.1002/vzj2.20305
34. The relationship between the Madden-Julian oscillation and the land surface soil moisture J. Peng et al. 10.1016/j.rse.2017.07.004
35. Can We Use Satellite-Based FAPAR to Detect Drought? J. Peng et al. 10.3390/s19173662
36. A long-term, high-accuracy and seamless 1km soil moisture dataset over the Qinghai-Tibet Plateau during 2001–2020 based on a two-step downscaling method Y. Shangguan et al. 10.1080/15481603.2023.2290337
37. Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep Learning M. Celik et al. 10.3390/rs14215584
38. High resolution (1-km) surface soil moisture generation from SMAP SSM by considering its difference between freezing and thawing periods in the source region of the Yellow River X. Fu et al. 10.1016/j.agrformet.2024.110263
39. The Merit of Estimating High-Resolution Soil Moisture Using Combined Optical, Thermal, and Microwave Data J. Li et al. 10.1109/LGRS.2023.3291761
40. Estimation of Land Surface Temperature Using FengYun-2E (FY-2E) Data: A Case Study of the Source Area of the Yellow River X. Song et al. 10.1109/JSTARS.2017.2682961
41. Mapping high‐resolution soil moisture and properties using distributed temperature sensing data and an adaptive particle batch smoother J. Dong et al. 10.1002/2016WR019031
42. A Calibration/Disaggregation Coupling Scheme for Retrieving Soil Moisture at High Spatio-Temporal Resolution: Synergy between SMAP Passive Microwave, MODIS/Landsat Optical/Thermal and Sentinel-1 Radar Data N. Ojha et al. 10.3390/s21217406
43. A Method for Downscaling Satellite Soil Moisture Based on Land Surface Temperature and Net Surface Shortwave Radiation Y. Wang et al. 10.1109/LGRS.2021.3062453
44. Applying a Wavelet Transform Technique to Optimize General Fitting Models for SM Analysis: A Case Study in Downscaling over the Qinghai–Tibet Plateau Z. Hu et al. 10.3390/rs14133063
45. Spatial downscaling of satellite soil moisture products based on apparent thermal inertia: Considering the effect of vegetation condition Z. Zhu et al. 10.1016/j.jhydrol.2022.128824
46. Estimating High-Resolution Soil Moisture Over Mountainous Regions Using Remotely-Sensed Multispectral and Topographic Data L. Fan et al. 10.1109/JSTARS.2022.3166974
47. A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements J. Peng et al. 10.1016/j.rse.2020.112162
48. Downscaling SMAP soil moisture estimation with gradient boosting decision tree regression over the Tibetan Plateau Z. Wei et al. 10.1016/j.rse.2019.02.022
49. A New Soil Moisture Downscaling Approach for SMAP, SMOS, and ASCAT by Predicting Sub-Grid Variability C. Montzka et al. 10.3390/rs10030427
50. Extending the Spatio-Temporal Applicability of DISPATCH Soil Moisture Downscaling Algorithm: A Study Case Using SMAP, MODIS and Sentinel-3 Data N. Ojha et al. 10.3389/fenvs.2021.555216
51. Remote Sensing Monitoring of Soil Moisture in the Daliuta Coal Mine Based on SPOT 5/6 and Worldview-2 Y. Liu & H. Yue 10.1515/geo-2019-0067