56 citations as recorded by crossref.

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4. Evaluating vegetation vulnerability under compound dry and hot conditions using vine copula across global lands G. Zhang et al. 10.1016/j.jhydrol.2024.130775
5. The Potential of Earth Observation for the Analysis of Cold Region Land Surface Dynamics in Europe—A Review Z. Hu et al. 10.3390/rs9101067
6. Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia G. Ramat et al. 10.1080/22797254.2022.2157335
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10. Editorial for the Special Issue “Microwave Indices from Active and Passive Sensors for Remote Sensing Applications” S. Paloscia & E. Santi 10.3390/rs11050561
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14. Possibility of Estimating Seasonal Snow Depth Based Solely on Passive Microwave Remote Sensing on the Greenland Ice Sheet in Spring H. Tsutsui & T. Maeda 10.3390/rs9060523
15. Quantifying Uncertainties in Passive Microwave Remote Sensing of Soil Moisture via a Bayesian Probabilistic Inversion Method C. Ma et al. 10.1109/TGRS.2021.3123464
16. Snow Water Equivalent Monitoring—A Review of Large-Scale Remote Sensing Applications S. Schilling et al. 10.3390/rs16061085
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19. Reliability of using vegetation optical depth for estimating decadal and interannual carbon dynamics Y. Dou et al. 10.1016/j.rse.2022.113390
20. Synergistic Evaluation of Passive Microwave and Optical/IR Data for Modelling Vegetation Transmissivity towards Improved Soil Moisture Retrieval M. Moradizadeh et al. 10.3390/s22041354
21. Estimating Time Series Soil Moisture by Applying Recurrent Nonlinear Autoregressive Neural Networks to Passive Microwave Data over the Heihe River Basin, China Z. Lu et al. 10.3390/rs9060574
22. Application of artificial neural networks for the soil moisture retrieval from active and passive microwave spaceborne sensors E. Santi et al. 10.1016/j.jag.2015.08.002
23. A New Operational Northern Hemisphere Snow Water Equivalent Retrieval Algorithm for FY-3F/MWRI-II Based on Pixel-Based Regression Coefficients J. Yang et al. 10.1109/TGRS.2024.3479452
24. Deep learning in environmental remote sensing: Achievements and challenges Q. Yuan et al. 10.1016/j.rse.2020.111716
25. Remote Sensing of Environmental Changes in Cold Regions: Methods, Achievements and Challenges J. Du et al. 10.3390/rs11161952
26. Review of snow water equivalent microwave remote sensing J. Shi et al. 10.1007/s11430-015-5225-0
27. Integration of microwave data from SMAP and AMSR2 for soil moisture monitoring in Italy E. Santi et al. 10.1016/j.rse.2018.04.039
28. A Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product Over United States and Europe Using Ground-Based Measurements J. Zeng et al. 10.1109/TGRS.2016.2553085
29. The Added Value of the VH/VV Polarization-Ratio for Global Soil Moisture Estimations From Scatterometer Data F. Greifeneder et al. 10.1109/JSTARS.2018.2865185
30. Vegetation Water Content Retrieval by Means of Multifrequency Microwave Acquisitions From AMSR2 E. Santi et al. 10.1109/JSTARS.2017.2703629
31. Validation of remotely sensed estimates of snow water equivalent using multiple reference datasets from the middle and high latitudes of China J. Yang et al. 10.1016/j.jhydrol.2020.125499
32. High-Resolution Mapping of Soil Moisture by AMSR2 Data Disaggregation Based on Sentinel-1 and Machine Learning E. Santi et al. 10.1109/JSTARS.2024.3445111
33. Digitizing the thermal and hydrological parameters of land surface in subtropical China using AMSR-E brightness temperatures Y. Su et al. 10.1080/17538947.2016.1247472
34. The Sensitivity of Cosmo-SkyMed Backscatter to Agricultural Crop Type and Vegetation Parameters S. Paloscia et al. 10.1109/JSTARS.2014.2345475
35. Soil Moisture Content Estimation Based on Sentinel-1 and Auxiliary Earth Observation Products. A Hydrological Approach D. Alexakis et al. 10.3390/s17061455
36. Detecting Trends in Wetland Extent from MODIS Derived Soil Moisture Estimates T. Gumbricht 10.3390/rs10040611
37. Fusing Microwave and Optical Satellite Observations to Simultaneously Retrieve Surface Soil Moisture, Vegetation Water Content, and Surface Soil Roughness Y. Sawada et al. 10.1109/TGRS.2017.2722468
38. Improving soil moisture retrieval accuracy of Advanced Microwave Scanning Radiometer 2 in vegetated areas using land surface parameters of Visible Infrared Imaging Radiometer Suite S. Arab & G. Easson 10.1117/1.JRS.13.044520
39. Snow depth estimation and historical data reconstruction over China based on a random forest machine learning approach J. Yang et al. 10.5194/tc-14-1763-2020
40. Robust Assessment of an Operational Algorithm for the Retrieval of Soil Moisture From AMSR-E Data in Central Italy E. Santi et al. 10.1109/JSTARS.2016.2575361
41. Evaluation and Adjustment of the AMSR2 Snow Depth Algorithm for the Northern Xinjiang Region, China R. Zhang et al. 10.1109/JSTARS.2016.2620521
42. Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopting the Microwave Vegetation Index P. Yao et al. 10.3390/rs9010035
43. Radiometric Microwave Indices for Remote Sensing of Land Surfaces S. Paloscia et al. 10.3390/rs10121859
44. A simplified physically-based algorithm for surface soil moisture retrieval using AMSR-E data J. Zeng et al. 10.1007/s11707-014-0412-4
45. A Novel Downscaling Approach Based on Multifrequency Microwave Radiometry Toward Finer Scale Global Soil Moisture Mapping P. Song et al. 10.1109/TGRS.2024.3490758
46. A Comprehensive Evaluation of Microwave Emissivity and Brightness Temperature Sensitivities to Soil Parameters Using Qualitative and Quantitative Sensitivity Analyses C. Ma et al. 10.1109/TGRS.2016.2618903
47. Improving snow depth estimation by coupling HUT-optimized effective snow grain size parameters with the random forest approach J. Yang et al. 10.1016/j.rse.2021.112630
48. Estimation of soil water content in watershed using artificial neural networks M. Campos de Oliveira et al. 10.1080/02626667.2017.1364844
49. Airborne 6GHz passive microwave observation of winter ground conditions in Alaska N. ALIMASI et al. 10.5331/seppyo.78.4_185
50. Remote monitoring of soil moisture using passive microwave-based techniques — Theoretical basis and overview of selected algorithms for AMSR-E I. Mladenova et al. 10.1016/j.rse.2014.01.013
51. Winter-spring transition of ground conditions over Alaska derived by airborne 6GHz microwave and infrared observations N. ALIMASI et al. 10.5331/seppyo.78.6_365
52. A review of passive microwave observations of snow-covered areas over complex Arctic terrain N. ALIMASI 10.5331/bgr.18W01
53. Method for Soil Moisture and Surface Temperature Estimation in the Tibetan Plateau Using Spaceborne Radiometer Observations J. Zeng et al. 10.1109/LGRS.2014.2326890
54. An Approach for Monitoring Global Vegetation Based on Multiangular Observations From SMOS Q. Cui et al. 10.1109/JSTARS.2015.2388698
55. Soil Moisture Retrieval Using Neural Networks: Application to SMOS N. Rodriguez-Fernandez et al. 10.1109/TGRS.2015.2430845
56. Global sensitivity analysis of the radiative transfer model M. Neelam & B. Mohanty 10.1002/2014WR016534