141 citations as recorded by crossref.

1. Influence of Surface Snow Properties on an 89-GHz Brightness Temperature Extreme Event at Dome Fuji, Antarctica C. Stefanini et al. 10.1109/LGRS.2024.3367111
2. Modeling the contributions of global air temperature, synoptic-scale phenomena and soil moisture to near-surface static energy variability using artificial neural networks S. Pryor et al. 10.5194/acp-17-14457-2017
3. The analysis of using satellite soil moisture observations for flood detection, evaluating over the Thailand’s Great Flood of 2011 N. Tangdamrongsub et al. 10.1007/s11069-021-04804-8
4. Seamless downscaling of the ESA CCI soil moisture data at the daily scale with MODIS land products W. Zhao et al. 10.1016/j.jhydrol.2021.126930
5. L-Band Passive Microwave Data from SMOS for River Gauging Observations in Tropical Climates Z. Kugler et al. 10.3390/rs11070835
6. SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 Q. Zhang et al. 10.5194/essd-14-4473-2022
7. Temporal Calibration of an Evaporation-Based Spatial Disaggregation Method of SMOS Soil Moisture Data V. Stefan et al. 10.3390/rs12101671
8. FarmCan: a physical, statistical, and machine learning model to forecast crop water deficit for farms S. Sadri et al. 10.5194/hess-26-5373-2022
9. Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019 Q. Zhang et al. 10.5194/essd-13-1385-2021
10. Evaluating a global soil moisture dataset from a multitask model (GSM3 v1.0) with potential applications for crop threats J. Liu et al. 10.5194/gmd-16-1553-2023
11. An evaluation of SMOS L-band vegetation optical depth (L-VOD) data sets: high sensitivity of L-VOD to above-ground biomass in Africa N. Rodríguez-Fernández et al. 10.5194/bg-15-4627-2018
12. Temperature effects on L-band vegetation optical depth of a boreal forest M. Schwank et al. 10.1016/j.rse.2021.112542
13. Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale Q. Han et al. 10.5194/gmd-16-5825-2023
14. A comparison of SMAP and SMOS L-band brightness temperature observations over the global landmass K. Wu et al. 10.1080/01431161.2019.1641759
15. Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley F. Chen et al. 10.1007/s00271-022-00789-9
16. Melt in Antarctica derived from Soil Moisture and Ocean Salinity (SMOS) observations at L band M. Leduc-Leballeur et al. 10.5194/tc-14-539-2020
17. Reconstruct SMAP brightness temperature scanning gaps over Qinghai-Tibet Plateau C. Tong et al. 10.1016/j.jag.2022.103090
18. 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
19. Assessment of Root Zone Soil Moisture Estimations from SMAP, SMOS and MODIS Observations M. Pablos et al. 10.3390/rs10070981
20. Triple Collocation-Based Assessment of Satellite Soil Moisture Products with In Situ Measurements in China: Understanding the Error Sources X. Wu et al. 10.3390/rs12142275
21. Sensitivity of surface soil moisture retrieval to satellite-derived vegetation descriptors over wheat fields in the Kairouan plain E. Ayari et al. 10.1080/22797254.2023.2260555
22. Trapezoid-based surface soil moisture retrieval using a pixel-to-pixel scheme: A preliminary result over the North China Plain P. Leng et al. 10.1016/j.jhydrol.2022.128350
23. Proxy Indicators for Mapping the End of the Vegetation Active Period in Boreal Forests Inferred from Satellite-Observed Soil Freeze and ERA-Interim Reanalysis Air Temperature K. Böttcher et al. 10.1007/s41064-018-0059-y
24. Indicator of Flood-Irrigated Crops From SMOS and SMAP Soil Moisture Products in Southern India C. Pascal et al. 10.1109/LGRS.2023.3267825
25. Analysis of short-term soil moisture effects on the ASCAT backscatter-incidence angle dependence I. Greimeister-Pfeil et al. 10.1016/j.srs.2022.100053
26. Soil moisture estimates at 1 km resolution making a synergistic use of Sentinel data R. Madelon et al. 10.5194/hess-27-1221-2023
27. Estimation and evaluation of high-resolution soil moisture from merged model and Earth observation data in the Great Britain J. Peng et al. 10.1016/j.rse.2021.112610
28. Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France M. El Hajj et al. 10.3390/rs10040569
29. Monitoring of Expansive Clays over Drought-Rewetting Cycles Using Satellite Remote Sensing A. Burnol et al. 10.3390/atmos12101262
30. Evaluation of SMAP, SMOS, and AMSR2 Soil Moisture Products Based on Distributed Ground Observation Network in Cold and Arid Regions of China Z. Wang et al. 10.1109/JSTARS.2021.3108432
31. Development of observation-based global multilayer soil moisture products for 1970 to 2016 Y. Wang et al. 10.5194/essd-13-4385-2021
32. Generation of global 1 km daily soil moisture product from 2000 to 2020 using ensemble learning Y. Zhang et al. 10.5194/essd-15-2055-2023
33. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. 10.3390/rs10122038
34. High resolution mapping of inundation area in the Amazon basin from a combination of L-band passive microwave, optical and radar datasets M. Parrens et al. 10.1016/j.jag.2019.04.011
35. Validation of Multiple Soil Moisture Products over an Intensive Agricultural Region: Overall Accuracy and Diverse Responses to Precipitation and Irrigation Events X. Fan et al. 10.3390/rs14143339
36. Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 B. Fang et al. 10.1002/vzj2.20305
37. An Illustration of FY-3E GNOS-R for Global Soil Moisture Monitoring G. Yang et al. 10.3390/s23135825
38. A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications A. Schmitt & L. Kaleschke 10.3390/rs10040553
39. Impact of temporal variations in vegetation optical depth and vegetation temperature on L-band passive soil moisture retrievals over a tropical forest using in-situ information A. Monsiváis-Huertero et al. 10.1080/01431161.2019.1685715
40. Retrieving global surface soil moisture from GRACE satellite gravity data M. Sadeghi et al. 10.1016/j.jhydrol.2020.124717
41. Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network A. Braakmann-Folgmann & C. Donlon 10.5194/tc-13-2421-2019
42. Performance of SMOS Soil Moisture Products Over Core Validation Sites A. Colliander et al. 10.1109/LGRS.2023.3272878
43. Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review F. Frappart et al. 10.3390/rs12182915
44. Estimating time-dependent vegetation biases in the SMAP soil moisture product S. Zwieback et al. 10.5194/hess-22-4473-2018
45. Integration of microwave satellite soil moisture products in the contextual surface temperature-vegetation index models for spatially continuous evapotranspiration estimation W. Zhu et al. 10.1016/j.isprsjprs.2023.08.004
46. A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm L. Hu et al. 10.1016/j.rse.2023.113595
47. Deep-Learning-Based Approach in Imaging Radiometry by Aperture Synthesis: An Alias-Free Method R. Faucheron et al. 10.1109/JSTARS.2024.3373875
48. A Comparison of ECV and SMOS Soil Moisture Products Based on OzNet Monitoring Network W. Jing et al. 10.3390/rs10050703
49. A Coupled Land Surface and Radiative Transfer Models Based on Relief Correction for a Reliable Land Data Assimilation Over Mountainous Terrain A. Nair & J. Indu 10.1109/LGRS.2018.2854908
50. Assessing Performances of Multivariate Data Assimilation Algorithms with SMOS, SMAP, and GRACE Observations for Improved Soil Moisture and Groundwater Analyses N. Tangdamrongsub et al. 10.3390/w14040621
51. Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models X. Li et al. 10.1016/j.rse.2019.111502
52. An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010) Z. Peng et al. 10.1038/s41597-023-02499-z
53. Simulation of Passive Microwave Data Toward Efficient Assimilation Over Indian Subcontinent S. Krishnan et al. 10.1109/LGRS.2020.2986011
54. Retrieval of ground, snow, and forest parameters from space borne passive L band observations. A case study over Sodankylä, Finland M. Holmberg et al. 10.1016/j.rse.2024.114143
55. Challenges and opportunities in precision irrigation decision-support systems for center pivots J. Zhang et al. 10.1088/1748-9326/abe436
56. A new global C-band vegetation optical depth product from ASCAT: Description, evaluation, and inter-comparison X. Liu et al. 10.1016/j.rse.2023.113850
57. Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements A. Al-Yaari et al. 10.1016/j.rse.2019.02.008
58. Retrieval of the Absorption Coefficient of L-Band Radiation in Antarctica From SMOS Observations O. Passalacqua et al. 10.3390/rs10121954
59. Hydrological Dynamics of the Congo Basin From Water Surfaces Based on L‐Band Microwave C. Fatras et al. 10.1029/2020WR027259
60. Performance evaluation of soil water content observation from satellite images in sediment disaster-prone area R. Hapsari et al. 10.1088/1757-899X/1073/1/012018
61. Influence of snow surface properties on L-band brightness temperature at Dome C, Antarctica M. Leduc-Leballeur et al. 10.1016/j.rse.2017.07.035
62. Denitrification in wetlands: A review towards a quantification at global scale C. Martínez-Espinosa et al. 10.1016/j.scitotenv.2020.142398
63. Snow wetness and density retrieved from L-band satellite radiometer observations over a site in the West Greenland ablation zone D. Houtz et al. 10.1016/j.rse.2019.111361
64. SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives J. Wigneron et al. 10.1016/j.rse.2020.112238
65. Toward the Removal of Model Dependency in Soil Moisture Climate Data Records by Using an $L$-Band Scaling Reference R. Madelon et al. 10.1109/JSTARS.2021.3137008
66. A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison X. Li et al. 10.1016/j.rse.2022.112921
67. Sensitivity of isoprene emissions to drought over south-eastern Australia: Integrating models and satellite observations of soil moisture K. Emmerson et al. 10.1016/j.atmosenv.2019.04.038
68. Mapping High Spatiotemporal-Resolution Soil Moisture by Upscaling Sparse Ground-Based Observations Using a Bayesian Linear Regression Method for Comparison with Microwave Remotely Sensed Soil Moisture Products J. Kang et al. 10.3390/rs13020228
69. Evaluation of Satellite-Derived Surface Soil Moisture Products over Agricultural Regions of Canada Y. Oozeer et al. 10.3390/rs12091455
70. A global analysis of water storage variations from remotely sensed soil moisture and daily satellite gravimetry D. Blank et al. 10.5194/hess-27-2413-2023
71. A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation A. Gruber et al. 10.1016/j.rse.2019.04.003
72. Passive Only Microwave Soil Moisture Retrieval in Indian Cropping Conditions: Model Parameterization and Validation D. Gupta et al. 10.1109/TGRS.2022.3218945
73. Soil Moisture Information Content in SMOS, SMAP, AMSR2, and ASCAT Level-1 Data Over Selected In Situ Sites M. Link et al. 10.1109/LGRS.2019.2940633
74. Trade‐Offs Between 1‐D and 2‐D Regional River Hydrodynamic Models A. Fleischmann et al. 10.1029/2019WR026812
75. A global-scale intercomparison of Triple Collocation Analysis- and ground-based soil moisture time-variant errors derived from different rescaling techniques K. Wu et al. 10.1016/j.rse.2022.113387
76. On the retrieval of internal temperature of Antarctica Ice Sheet by using SMOS observations G. Macelloni et al. 10.1016/j.rse.2019.111405
77. Multivariate data assimilation of GRACE, SMOS, SMAP measurements for improved regional soil moisture and groundwater storage estimates N. Tangdamrongsub et al. 10.1016/j.advwatres.2019.103477
78. Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. 10.5194/bg-20-1027-2023
79. Multiscale Data Fusion for Surface Soil Moisture Estimation: A Spatial Hierarchical Approach D. Kathuria et al. 10.1029/2018WR024581
80. A Soil Moisture Retrieval Method for Reducing Topographic Effect: A Case Study on the Qinghai–Tibetan Plateau With SMOS Data Y. Bai et al. 10.1109/JSTARS.2023.3264572
81. Soil moisture estimates over sporadically flooded farmlands: synergies and biases of remote sensing and in situ sources L. Cappelletti et al. 10.1080/01431161.2022.2152755
82. A Long-term Consistent Artificial Intelligence and Remote Sensing-based Soil Moisture Dataset O. Skulovich & P. Gentine 10.1038/s41597-023-02053-x
83. Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm T. Zhao et al. 10.1016/j.rse.2021.112321
84. Assessing the performance of satellite soil moisture on agricultural drought monitoring in the North China Plain M. Cao et al. 10.1016/j.agwat.2021.107450
85. Simulation of SMAP and AMSR2 observations and estimation of multi-frequency vegetation optical depth using a discrete scattering model in the Tibetan grassland X. Bai et al. 10.1016/j.rse.2023.113592
86. Denitrification and associated nitrous oxide and carbon dioxide emissions from the Amazonian wetlands J. Guilhen et al. 10.5194/bg-17-4297-2020
87. Evaluation of SMOS, SMAP, AMSR2 and FY-3C soil moisture products over China J. Fan et al. 10.1371/journal.pone.0266091
88. SMOS near-real-time soil moisture product: processor overview and first validation results N. Rodríguez-Fernández et al. 10.5194/hess-21-5201-2017
89. A multi-temporal and multi-angular approach for systematically retrieving soil moisture and vegetation optical depth from SMOS data Y. Bai et al. 10.1016/j.rse.2022.113190
90. Multi-scale EO-based agricultural drought monitoring indicator for operative irrigation networks management in Italy C. Corbari et al. 10.1016/j.ejrh.2024.101732
91. Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions A. Mavrovic et al. 10.5194/bg-20-2941-2023
92. Irrigation and Precipitation Hydrological Consistency with SMOS, SMAP, ESA-CCI, Copernicus SSM1km, and AMSR-2 Remotely Sensed Soil Moisture Products N. Paciolla et al. 10.3390/rs12223737
93. Validation of the SMOS Level 1C Brightness Temperature and Level 2 Soil Moisture Data over the West and Southwest of Iran M. Jamei et al. 10.3390/rs12172819
94. Error Propagation in Microwave Soil Moisture and Vegetation Optical Depth Retrievals A. Feldman et al. 10.1109/JSTARS.2021.3124857
95. Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation J. Dong et al. 10.1016/j.rse.2020.111756
96. A global near-real-time soil moisture index monitor for food security using integrated SMOS and SMAP S. Sadri et al. 10.1016/j.rse.2020.111864
97. Assessment of SMOS and SMAP soil moisture products against new estimates combining physical model, a statistical model, and in-situ observations: A case study over the Huai River Basin, China X. Wang et al. 10.1016/j.jhydrol.2021.126468
98. Reconciling Flagging Strategies for Multi-Sensor Satellite Soil Moisture Climate Data Records M. van der Vliet et al. 10.3390/rs12203439
99. Moisture availability mediates the relationship between terrestrial gross primary production and solar‐induced chlorophyll fluorescence: Insights from global‐scale variations A. Chen et al. 10.1111/gcb.15373
100. SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact N. Rodríguez-Fernández et al. 10.3390/rs11111334
101. SMAP underestimates soil moisture in vegetation-disturbed areas primarily as a result of biased surface temperature data X. Fan et al. 10.1016/j.rse.2020.111914
102. A reduced latency regional gap-filling method for SMAP using random forest regression X. Wang et al. 10.1016/j.isci.2022.105853
103. Simultaneous retrieval of global scale Vegetation Optical Depth, surface roughness, and soil moisture using X-band AMSR-E observations L. Karthikeyan et al. 10.1016/j.rse.2019.111473
104. 500–2000-MHz Airborne Brightness Temperature Measurements Over the East Antarctic Plateau M. Brogioni et al. 10.1109/LGRS.2021.3056740
105. A dynamic model for assessing soil denitrification in large-scale natural wetlands driven by Earth Observations. C. Martínez-Espinosa et al. 10.1016/j.envsoft.2022.105557
106. Comparison of Contemporary In Situ, Model, and Satellite Remote Sensing Soil Moisture With a Focus on Drought Monitoring T. Ford & S. Quiring 10.1029/2018WR024039
107. Assessing global surface water inundation dynamics using combined satellite information from SMAP, AMSR2 and Landsat J. Du et al. 10.1016/j.rse.2018.04.054
108. An in-situ data based model to downscale radiometric satellite soil moisture products in the Upper Hunter Region of NSW, Australia I. Senanayake et al. 10.1016/j.jhydrol.2019.03.014
109. Vegetation–soil moisture coupling metrics from dual-polarization microwave radiometry using regularization S. Zwieback et al. 10.1016/j.rse.2019.111257
110. Comparisons of distributed and lumped rainfall-runoff model for soil moisture estimation R. Hapsari et al. 10.1088/1755-1315/930/1/012071
111. Estimation of high-resolution precipitation using downscaled satellite soil moisture and SM2RAIN approach S. Krishnan et al. 10.1016/j.jhydrol.2022.127926
112. Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution J. Zhang et al. 10.1029/2022WR032967
113. 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
114. On the Use of Satellite Remote Sensing to Detect Floods and Droughts at Large Scales T. Lopez et al. 10.1007/s10712-020-09618-0
115. EASE-DGGS: a hybrid discrete global grid system for Earth sciences J. Thompson et al. 10.1080/20964471.2021.2017539
116. Towards long-term records of rain-on-snow events across the Arctic from satellite data A. Bartsch et al. 10.5194/tc-17-889-2023
117. Soil Salinity Dynamics Impairs Radiometer-Based Soil Moisture Retrieval Over Global Cropland X. Fan et al. 10.1109/TGRS.2022.3181586
118. Analysis of L-Band SAR Data for Soil Moisture Estimations over Agricultural Areas in the Tropics M. Zribi et al. 10.3390/rs11091122
119. Sensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: a comparison to higher frequencies and optical indices D. Chaparro et al. 10.1016/j.rse.2019.111303
120. Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity—Part I: Soil Characteristics A. Lausch et al. 10.3390/rs11202356
121. Effect of Structural Uncertainty in Passive Microwave Soil Moisture Retrieval Algorithm L. Karthikeyan et al. 10.3390/s20041225
122. Robustness of Vegetation Optical Depth Retrievals Based on L-Band Global Radiometry D. Chaparro et al. 10.1109/TGRS.2022.3201581
123. Estimation of the L-Band Effective Scattering Albedo of Tropical Forests Using SMOS Observations M. Parrens et al. 10.1109/LGRS.2017.2703637
124. Quantifying Surface Melt and Liquid Water on the Greenland Ice Sheet using L-band Radiometry D. Houtz et al. 10.1016/j.rse.2021.112341
125. 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
126. Temporal and Spatial Comparison of Agricultural Drought Indices from Moderate Resolution Satellite Soil Moisture Data over Northwest Spain M. Pablos et al. 10.3390/rs9111168
127. Multi-layer high-resolution soil moisture estimation using machine learning over the United States L. Karthikeyan & A. Mishra 10.1016/j.rse.2021.112706
128. The first global soil moisture and vegetation optical depth product retrieved from fused SMOS and SMAP L-band observations X. Li et al. 10.1016/j.rse.2022.113272
129. Assessment and Error Analysis of Satellite Soil Moisture Products Over the Third Pole J. Zeng et al. 10.1109/TGRS.2021.3116078
130. Evaluation of Two SMAP Soil Moisture Retrievals Using Modeled- and Ground-Based Measurements L. Bai et al. 10.3390/rs11242891
131. The sensitivity of satellite microwave observations to liquid water in the Antarctic snowpack G. Picard et al. 10.5194/tc-16-5061-2022
132. Beyond river discharge gauging: hydrologic predictions using remote sensing alone H. Yoon et al. 10.1088/1748-9326/acb8cb
133. Improving surface soil moisture estimates in West Africa through GRACE data assimilation H. Jung et al. 10.1016/j.jhydrol.2019.05.042
134. Evaluating pulse-reserve characteristics of Soil-Plant continuum in India using remote sensing S. Anoop et al. 10.1016/j.jhydrol.2024.130913
135. Developing restoration strategies in Jazmurian wetland by remote sensing F. Qaderi Nasab & M. Rahnama 10.1007/s13762-019-02568-0
136. Above-Ground Biomass Estimation Based on Multi-Angular L-Band Measurements of Brightness Temperatures J. Salazar-Neira et al. 10.1109/JSTARS.2023.3285288
137. More severe drought detected by the assimilation of brightness temperature and terrestrial water storage anomalies in Texas during 2010–2013 W. Chen et al. 10.1016/j.jhydrol.2021.126802
138. Exploring the use of satellite observations of soil moisture, solar-induced chlorophyll fluorescence and vegetation optical depth to monitor droughts across India M. Likith et al. 10.1007/s12040-022-01848-7
139. Emergent constraints on tropical atmospheric aridity—carbon feedbacks and the future of carbon sequestration A. Barkhordarian et al. 10.1088/1748-9326/ac2ce8
140. SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product R. Fernandez-Moran et al. 10.3390/rs9050457
141. Mapping Dynamic Water Fraction under the Tropical Rain Forests of the Amazonian Basin from SMOS Brightness Temperatures M. Parrens et al. 10.3390/w9050350