90 citations as recorded by crossref.

1. Quantifying Long-Term Land Surface and Root Zone Soil Moisture over Tibetan Plateau R. Zhuang et al. 10.3390/rs12030509
2. Theoretical uncertainties for global satellite-derived burned area estimates J. Brennan et al. 10.5194/bg-16-3147-2019
3. Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval M. Nabi et al. 10.1109/JSTARS.2023.3287591
4. Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans S. Khan & V. Maggioni 10.3390/rs11030255
5. Cross-Examining Precipitation Products by Rain Gauge, Remote Sensing, and WRF Simulations over a South American Region across the Pacific Coast and Andes M. Chen et al. 10.3390/atmos13101666
6. Blending Satellite Observed, Model Simulated, and in Situ Measured Soil Moisture over Tibetan Plateau Y. Zeng et al. 10.3390/rs8030268
7. Retrievals of aerosol optical depth over the western North Atlantic Ocean during ACTIVATE L. Siu et al. 10.5194/amt-17-2739-2024
8. Evaluation of the ESA CCI soil moisture product using ground-based observations W. Dorigo et al. 10.1016/j.rse.2014.07.023
9. Quantifying Uncertainties in the Partitioned Swell Heights Observed From CFOSAT SWIM and Sentinel-1 SAR via Triple Collocation H. Wang et al. 10.1109/TGRS.2022.3179511
10. The Impact of Quadratic Nonlinear Relations between Soil Moisture Products on Uncertainty Estimates from Triple Collocation Analysis and Two Quadratic Extensions S. Zwieback et al. 10.1175/JHM-D-15-0213.1
11. Spatial Representativeness Analysis for Snow Depth Measurements of Meteorological Stations in Northeast China Y. Wang & Z. Zheng 10.1175/JHM-D-19-0134.1
12. The performance of Metop Advanced SCATterometer soil moisture data as a complementary source for the estimation of crop-soil water balance in Central Europe S. Thaler et al. 10.1017/S0021859618000011
13. Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain A. Gruber et al. 10.1002/2017WR021277
14. Comparison of traditional method and triple collocation analysis for evaluation of multiple gridded precipitation products across Germany Z. Duan et al. 10.1175/JHM-D-21-0049.1
15. Mapping the permafrost stability on the Tibetan Plateau for 2005–2015 Y. Ran et al. 10.1007/s11430-020-9685-3
16. Validation practices for satellite soil moisture retrievals: What are (the) errors? A. Gruber et al. 10.1016/j.rse.2020.111806
17. Advancing High-Mountain Precipitation Reconstruction Through Merging of Multiple Data Sources: Triple Collocation Versus Signal-to-Noise Ratio Optimization S. Shah et al. 10.1109/TGRS.2024.3494812
18. Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma Part II: New Multi-Sensor Soil Moisture (MSSM) Product Z. Hong et al. 10.3390/rs15133450
19. An objective methodology for merging satellite‐ and model‐based soil moisture products M. Yilmaz et al. 10.1029/2011WR011682
20. Multi-scale analysis of bias correction of soil moisture C. Su & D. Ryu 10.5194/hess-19-17-2015
21. Estimating error cross‐correlations in soil moisture data sets using extended collocation analysis A. Gruber et al. 10.1002/2015JD024027
22. Uncertainty of Reference Pixel Soil Moisture Averages Sampled at SMAP Core Validation Sites F. Chen et al. 10.1175/JHM-D-19-0049.1
23. Decomposition of Random Errors Inherent to HOAPS-3.2 Near-Surface Humidity Estimates Using Multiple Triple Collocation Analysis J. Kinzel et al. 10.1175/JTECH-D-15-0122.1
24. Application of Triple Collocation in Ground-Based Validation of Soil Moisture Active/Passive (SMAP) Level 2 Data Products F. Chen et al. 10.1109/JSTARS.2016.2569998
25. Beyond triple collocation: Applications to soil moisture monitoring C. Su et al. 10.1002/2013JD021043
26. Summarizing multiple aspects of triple collocation analysis in a single diagram L. Siu et al. 10.3389/frsen.2024.1395442
27. Sea surface current estimation using optical satellite imagery of Kelvin wakes and AIS data K. Haakman et al. 10.1016/j.rse.2024.114400
28. Üçlü Eşleştirme Yöntemi ile Uydu ve Hidrolojik Model Kaynaklı Toprak Nemi Değerlerinin Hata Oranlarının Bulunması M. YILMAZ 10.21605/cukurovaummfd.317809
29. Towards an integrated soil moisture drought monitor for East Africa W. Anderson et al. 10.5194/hess-16-2893-2012
30. Estimation of the temporal autocorrelation structure by the collocation technique with an emphasis on soil moisture studies S. Zwieback et al. 10.1080/02626667.2013.839876
31. Characterization of Drought Development through Remote Sensing: A Case Study in Central Yunnan, China S. Abbas et al. 10.3390/rs6064998
32. Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation F. Chen et al. 10.1016/j.rse.2018.05.008
33. Evaluation and calibration of a high-resolution soil moisture product for wildfire prediction and management . Vinodkumar & I. Dharssi 10.1016/j.agrformet.2018.09.012
34. Triple Collocation Analysis of Soil Moisture From Metop-A ASCAT and SMOS Against JRA-55 and ERA-Interim K. Miyaoka et al. 10.1109/JSTARS.2016.2632306
35. Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment L. Renzullo et al. 10.1016/j.jhydrol.2014.08.008
36. Estimating time-dependent vegetation biases in the SMAP soil moisture product S. Zwieback et al. 10.5194/hess-22-4473-2018
37. An intercomparison of four gridded precipitation products over Europe using an extension of the three-cornered-hat method L. Lledó et al. 10.5194/hess-28-5149-2024
38. Triple collocation: Beyond three estimates and separation of structural/non-structural errors M. Pan et al. 10.1016/j.rse.2015.10.028
39. Evaluating a multi-step collocation approach for an ensemble climatological dataset of actual evapotranspiration over Italy C. Cammalleri et al. 10.1016/j.jhydrol.2024.132209
40. Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method H. Fang et al. 10.1016/j.rse.2012.06.013
41. A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation A. Gruber et al. 10.1016/j.rse.2019.04.003
42. Terrestrial Water Storage Change Retrieved by GRACE and Its Implication in the Tibetan Plateau: Estimating Areal Precipitation in Ungauged Region Y. Jia et al. 10.3390/rs12193129
43. Quality Assessment of Sea Surface Temperature from ATSRs of the Climate Change Initiative (Phase 1) C. Tsamalis & R. Saunders 10.3390/rs10040497
44. Cross-evaluation of ground-based, multi-satellite and reanalysis precipitation products: Applicability of the Triple Collocation method across Mainland China C. Li et al. 10.1016/j.jhydrol.2018.04.039
45. Inter-Comparison of SST Products from iQuam, AMSR2/GCOM-W1, and MWRI/FY-3D Y. Zhao et al. 10.3390/rs16112034
46. Characterizing Coarse‐Scale Representativeness of in situ Soil Moisture Measurements from the International Soil Moisture Network A. Gruber et al. 10.2136/vzj2012.0170
47. Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model T. Ding et al. 10.1016/j.jag.2024.104003
48. Building the vegetation drought response index for Canada (VegDRI-Canada) to monitor agricultural drought: first results T. Tadesse et al. 10.1080/15481603.2017.1286728
49. Comparing soil moisture anomalies from multiple independent sources over different regions across the globe C. Cammalleri et al. 10.5194/hess-21-6329-2017
50. Consistency and uncertainty of gridded terrestrial evapotranspiration estimations over China L. Guo et al. 10.1016/j.jhydrol.2022.128245
51. Determining Errors in Directional Buoy-Derived Swell Heights via the Joint Analysis of Space-Borne Radars and WaveWatch III Simulations H. Wang et al. 10.1109/LGRS.2022.3216667
52. Error Estimation of Pathfinder Version 5.3 Level-3C SST Using Extended Triple Collocation Analysis K. Saha et al. 10.3390/rs12040590
53. Multi‐Timescale Analysis of the Spatial Representativeness of In Situ Soil Moisture Data within Satellite Footprints B. Molero et al. 10.1002/2017JD027478
54. How far can the statistical error estimation problem be closed by collocated data? A. Vogel & R. Ménard 10.5194/npg-30-375-2023
55. Comparison of soil wetness from multiple models over Australia with observations . Vinodkumar et al. 10.1002/2015WR017738
56. Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma—Part I: Individual Product Assessment Z. Hong et al. 10.3390/rs14225641
57. Validation and trend analysis of ECV soil moisture data on cropland in North China Plain during 1981–2010 S. Wang et al. 10.1016/j.jag.2015.10.010
58. Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products M. Nabi et al. 10.1109/JSTARS.2024.3443100
59. Stand-alone error characterisation of microwave satellite soil moisture using a Fourier method C. Su et al. 10.1016/j.rse.2014.08.014
60. Error Analysis on ESA’s Envisat ASAR Wave Mode Significant Wave Height Retrievals Using Triple Collocation Model H. Wang et al. 10.3390/rs61212217
61. Error Decomposition of Remote Sensing Soil Moisture Products Based on the Triple-Collocation Method Introducing an Unbiased Reference Dataset: A Case Study on the Tibetan Plateau J. Kang et al. 10.3390/rs12183087
62. Validation of the ESA CCI soil moisture product in China R. An et al. 10.1016/j.jag.2015.09.009
63. Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology A. Gruber et al. 10.5194/essd-11-717-2019
64. The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products M. Afshar & M. Yilmaz 10.1016/j.rse.2017.05.017
65. The potential of 2D Kalman filtering for soil moisture data assimilation A. Gruber et al. 10.1016/j.rse.2015.10.019
66. Recent advances in (soil moisture) triple collocation analysis A. Gruber et al. 10.1016/j.jag.2015.09.002
67. Uncertainty analysis of eleven multisource soil moisture products in the third pole environment based on the three-corned hat method J. Liu et al. 10.1016/j.rse.2020.112225
68. Clarifications on the equations and the sample number in triple collocation analysis using SST observations C. Tsamalis 10.1016/j.rse.2022.112936
69. Quadruple Collocation Analysis for Soil Moisture Product Assessment N. Pierdicca et al. 10.1109/LGRS.2015.2414654
70. Sensitivity of Soil Moisture Analyses to Contrasting Background and Observation Error Scenarios J. Muñoz-Sabater et al. 10.3390/w10070890
71. Improving Daily Precipitation Estimates by Merging Satellite and Reanalysis Data in Northeast China G. Yin et al. 10.3390/rs16244703
72. A Binned Triple Collocation for Estimating Regime-Dependent Uncertainties of Precipitation V. Pellet 10.1109/LGRS.2022.3162703
73. A mutual assessment of the uncertainties of digital elevation models using the triple collocation technique C. Yakubu et al. 10.1080/01431161.2019.1579388
74. Impact of Rescaling Approaches in Simple Fusion of Soil Moisture Products M. Afshar et al. 10.1029/2019WR025111
75. A regional scale performance evaluation of SMOS and ESA-CCI soil moisture products over India with simulated soil moisture from MERRA-Land A. Chakravorty et al. 10.1016/j.rse.2016.09.011
76. Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT) S. Losa et al. 10.3389/fmars.2017.00203
77. Exploitation of error correlation in a large analysis validation: GlobCurrent case study R. Danielson et al. 10.1016/j.rse.2018.07.016
78. Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation Z. Li et al. 10.3390/rs12081258
79. ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al. 10.1016/j.rse.2017.07.001
80. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes C. Alvarez-Garreton et al. 10.5194/hess-19-1659-2015
81. A Polarimetric First-Order Model of Soil Moisture Effects on the DInSAR Coherence S. Zwieback et al. 10.3390/rs70607571
82. Examining the performance of precipitation products in characterizing the Indian summer monsoon rainfall (ISMR) using triple collocation S. Paul & H. Alemohammad 10.1016/j.jhydrol.2025.133136
83. Estimating Random Errors of Scatterometer, Altimeter, and Model Wind Speed Data S. Abdalla & G. De Chiara 10.1109/JSTARS.2017.2659220
84. Assessing global transpiration estimates: Insights from tree-scale sap flow analysis C. Li et al. 10.1016/j.jhydrol.2024.131419
85. Evaluation of Assumptions in Soil Moisture Triple Collocation Analysis M. Yilmaz & W. Crow 10.1175/JHM-D-13-0158.1
86. Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals A. Gruber et al. 10.1109/TGRS.2017.2734070
87. Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. 10.1029/2023JD039310
88. Enhanced Soil Moisture Retrieval through Integrating Satellite Data with Pedotransfer Functions in a Complex Landscape of Ethiopia E. Teferi et al. 10.3390/w15193396
89. A Comprehensive Evaluation of Gridded L-, C-, and X-Band Microwave Soil Moisture Product over the CZO in the Central Ganga Plains, India S. Dash & R. Sinha 10.3390/rs14071629
90. A global water cycle reanalysis (2003–2012) merging satellite gravimetry and altimetry observations with a hydrological multi-model ensemble A. van Dijk et al. 10.5194/hess-18-2955-2014