47 citations as recorded by crossref.

1. Exploring the actual spatial resolution of 1 km satellite soil moisture products L. Brocca et al.
2. High-resolution soil moisture mapping in northern boreal forests using SMAP data and downscaling techniques E. Jääskeläinen et al.
3. Soil Moisture Monitoring Method and Data Products: Current Research Status and Future Development Trends R. Liu et al.
4. Fusing ERA5-Land and SMAP L4 for an improved global soil moisture product (1950–2025) W. Wang et al.
5. Determination of irrigation water use from multiple soil moisture observations at a fine spatial resolution: Preferred model optimization and fusion strategy Q. Yan et al.
6. Estimating Land Surface All-Wave Daily Net Radiation From VIIRS Top-of-Atmosphere Data X. Yin et al.
7. Improving SMAP soil moisture spatial resolution in different climatic conditions using remote sensing data F. Imanpour et al.
8. Soil Moisture Satellite Data Under Scrutiny: Assessing Accuracy Through Environmental Proxies and Extended Triple Collocation Analysis A. Pataki et al.
9. Significant variations in terrestrial water flux in mainland China during 2024 using GRACE-FO: impacts of extreme climate events Y. Zhong et al.
10. AI in soil moisture remote sensing C. Montzka et al.
11. A review of crop yield estimation on pixel and field scales from remotely sensed data F. Zhang et al.
12. Generation of global 1 km all-weather instantaneous and daily mean land surface temperatures from MODIS data B. Li et al.
13. Regional differences in carbon-water dynamics of various plantation forests in Southwest China Q. Li et al.
14. SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data Y. Liu et al.
15. A Review on Soil Moisture Dynamics Monitoring in Semi-Arid Ecosystems: Methods, Techniques, and Tools Applied at Different Scales E. Duarte & A. Hernandez
16. An Integrated Learning Framework for Seamless High-Resolution Soil Moisture Estimation Y. Jing et al.
17. Enhancing spatial resolution of satellite soil moisture data through stacking ensemble learning techniques M. Tahmouresi et al.
18. A Fusion Strategy for High-Accuracy Multilayer Soil Moisture Downscaling and Mapping X. Zhang et al.
19. Global daily 1 km gapless XCO₂ (2003−2023) derived from multi-satellite observations and a spatiotemporal deep learning framework J. Wang
20. The Impact of Spatial Dynamic Error on the Assimilation of Soil Moisture Retrieval Products X. Bai et al.
21. Probabilistic Evaluation of Drought Propagation Using Satellite Data and Deep Learning Model: From Precipitation to Soil Moisture and Groundwater J. Seo & S. Lee
22. Identification of the dominant factors and altitudinal variation in water use efficiency in the Qinling–Daba Mountains T. Zhao et al.
23. Patterns and drivers of critical soil moisture threshold across global tree species C. Song et al.
24. Are the Current Expectations for SAR Remote Sensing of Soil Moisture Using Machine Learning Overoptimistic? L. Zhu et al.
25. Using remote sensing and machine learning to generate 100-cm soil moisture at 30-m resolution for the black soil region of China: Implication for agricultural water management L. Chen et al.
26. High spatio-temporal resolution soil moisture nowcasting at multiple depths with data-driven approaches Y. Zhang et al.
27. Systematic evaluation of atmospheric forcing, surface datasets, and mesh effects on kilometer-scale land surface and river modeling L. Li et al.
28. Downscaling of soil moisture in satellite-borne GNSS-R based on multi-model fusion Y. Liang et al.
29. A Sentinel-1 SAR-based global 1-km resolution soil moisture data product: Algorithm and preliminary assessment D. Fan et al.
30. A global long-term daily multilayer soil moisture dataset derived from machine learning Z. Wei et al.
31. Surface Water Availability-Temperature Index (SWATI) for Global Drought Monitoring M. Thai & Y. Liou
32. Spatial Machine Learning for Exploring the Variability in Low Height‐For‐Age From Socioeconomic, Agroecological, and Climate Features in the Northern Province of Rwanda G. Nduwayezu et al.
33. A Transformer-based method to simulate multi-scale soil moisture Y. Liu et al.
34. Generating high accuracy multi-layer soil moisture at daily scale in the black soil region of China L. Chen et al.
35. Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale Q. Han et al.
36. A 1 km soil moisture dataset over eastern CONUS generated by assimilating SMAP data into the Noah-MP land surface model S. Tai et al.
37. A smart approach to soil quality evaluation by integrating hesitant fuzzy-AHP and artificial intelligence for multi-criteria decision S. Pacci et al.
38. Quantification and Correction of SMAP Soil Moisture Retrieval Biases Induced by Subpixel Moisture and Texture Heterogeneity Over China P. Song et al.
39. How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change: A review J. Montillet et al.
40. Dynamic parameterization of global land surface albedo components: Bare soil, non-photosynthetic vegetation, and photosynthetic vegetation A. Jia et al.
41. Improved soil moisture mapping using an integrated cyclic modeling and bias correction approach Y. Shi et al.
42. Spatial Representativeness of Soil Moisture Stations and Its Influential Factors at a Global Scale C. Peng et al.
43. Validation of high-resolution surface soil moisture time series retrieved by means of SAR interferometry F. De Zan et al.
44. Relative surface evapotranspiration index (RSETI): A novel approach for drought characterization in Australia Y. Liou & M. Thai
45. A seamless global daily 5 km soil moisture product from 1982 to 2021 using AVHRR satellite data and an attention-based deep learning model Y. Zhang et al.
46. SMCR: A first satellite-derived all-weather daily/1-km Soil Moisture Climatological Record (1980–2023) S. Zhai et al.
47. Ecological effects of photovoltaic deployment in China: a remote sensing assessment Y. Li et al.