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Satellite-Derived Soil Moisture Intercomparison and Validation References

2021

Beck, H. E., Pan, M., Miralles, D. G., Reichle, R. H., Dorigo, W. A., Hahn, S., et al. (2021). Evaluation of 18 satellite- and   model-based soil moisture products using in situ measurements from 826 sensors. Hydrology and Earth System   Sciences, 25(1), 17-40. 10.5194/hess-25-17-2021 #SMOS, #SMAP, #ESA CCI, #AMSR2, #ASCAT

Lamptey, P. N. L., Petropoulos, G. P., & Srivastava, P. K. (2021). SMOS L4 Downscaled Soil Moisture Product   Evaluation Over a Two Year – Period in a Mediterranean Setting. In Advances in Remote Sensing for Natural   Resource Monitoring, 111-131. #SMOS

Bayat, B., F. Camacho, J. Nickeson, M. Cosh, J. Bolten, H. Vereecken, and C. Montzka (2021): Toward Operational   Validation Systems for Global Satellite-Based Terrestrial Essential Climate Variables. International Journal of Applied   Earth Observations and Geoinformation 95, 102240. DOI:10.1016/j.jag.2020.102240

Choi, J.; Won, J.; Lee, O.; Kim, S. Usefulness of Global Root Zone Soil Moisture Product for Streamflow Prediction of   Ungauged Basins. Remote Sens. 2021, 13, 756. https://doi.org/10.3390/rs13040756

Liu, J., Chai, L., Dong, J., Zheng, D., Wigneron, J. P., Liu, S., et al. (2021). Uncertainty analysis of eleven multisource   soil moisture products in the third pole environment based on the three-corned hat method. Remote Sensing of   Environment, 255, 112225. https://doi.org/10.1016/j.rse.2020.112225 #SMOS, #SMAP, #AMSR-E, #ESA CCI

I.P. Senanayake, I.-Y. Yeo, G.R. Willgoose, G.R. Hancock, Disaggregating satellite soil moisture products based on soil   thermal inertia: A comparison of a downscaling model built at two spatial scales, Journal of Hydrology, Volume 594,   2021, 125894, ISSN 0022-1694, /10.1016/j.jhydrol.2020.125894

Qu, Y., Z. Zhu, C. Montzka, L. Chai, S. Liu, Y. Ge, J. Liu, Z. Lu, X. He, J. Zheng, and T. Han (2021): Inter-comparison of   Several Soil Moisture Downscaling Methods over the Qinghai-Tibet Plateau, China. Journal of Hydrology 592, 125616.   DOI:10.1016/j.jhydrol.2020.125616 #AMSR-E

van der Velde, R., Colliander, A., Pezij, M., Benninga, H. J. F., Bindlish, R., Chan, S. K., et al. (2021). Validation of   SMAP L2 passive-only soil moisture products using upscaled in situ measurements collected in Twente, the   Netherlands. Hydrology and Earth System Sciences, 25(1), 473-495. 10.5194/hess-25-473-2021 #SMAP

Wang, G., Zhang, X., Yinglan, A., Duan, L., Xue, B., & Liu, T. (2021). A Spatio-temporal Cross Comparison Framework   for the Accuracies of Remotely Sensed Soil Moisture Products in a Climate-Sensitive Grassland Region. Journal of   Hydrology, 126089. https://doi.org/10.1016/j.jhydrol.2021.126089 #SMOS, #SMAP

Lei Xu, Nengcheng Chen, Xiang Zhang, Hamid Moradkhani, Chong Zhang, Chuli Hu, In-situ and triple-collocation   based evaluations of eight global root zone soil moisture products, Remote Sensing of Environment, Volume 254,   2021, 112248, ISSN 0034-4257, 10.1016/j.rse.2020.112248.

2020

Chaubell, M. J., Yueh, S. H., Dunbar, R. S., Colliander, A., Chen, F., Chan, S. K., et al. (2020). Improved SMAP Dual-
  Channel Algorithm for the Retrieval of Soil Moisture. Ieee Transactions on Geoscience and Remote Sensing, 58(6),   3894-3905. 10.1109/Tgrs.2019.2959239 #SMAP

Colliander, A., Jackson, T. J., Berg, A., Bosch, D. D., Caldwell, T., Chan, S., et al. (2020). Effect of Rainfall Events on   SMAP Radiometer-Based Soil Moisture Accuracy Using Core Validation Sites. Journal of Hydrometeorology, 21(2),   255-264. 10.1175/Jhm-D-19-0122.1 #SMAP

Tabatabaeenejad, A., Chen, R. H., Burgin, M. S., Duan, X. Y., Cuenca, R. H., Cosh, M. H., et al. (2020). Assessment   and Validation of AirMOSS P-Band Root-Zone Soil Moisture Products. Ieee Transactions on Geoscience and Remote   Sensing, 58(9), 6181-6196. 10.1109/Tgrs.2020.2974976 #Airborne

Jamei, M., Baygi, M. M., Oskouei, E. A., & Lopez-Baeza, E. (2020). Validation of the SMOS Level 1C Brightness   Temperature and Level 2 Soil Moisture Data over the West and Southwest of Iran. Remote Sensing, 12(17). ARTN   2819. 10.3390/rs12172819 #SMOS

Dente, L., Guerriero, L., Comite, D., & Pierdicca, N. (2020). Space-Borne GNSS-R Signal Over a Complex Topography:   Modeling and Validation. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13,   1218-1233. 10.1109/Jstars.2020.2975187 #GNSS-R

Dong, J. Z., Crow, W. T., Tobin, K. J., Cosh, M. H., Bosch, D. D., Starks, P. J., et al. (2020). Comparison of microwave   remote sensing and land surface modeling for surface soil moisture climatology estimation. Remote Sensing of   Environment, 242. ARTN 111756. 10.1016/j.rse.2020.111756 #AMSR-E, #SMOS

Fan, X. W., Liu, Y. B., Gan, G. J., & Wu, G. P. (2020). SMAP underestimates soil moisture in vegetation-disturbed areas   primarily as a result of biased surface temperature data. Remote Sensing of Environment, 247. ARTN 111914.   10.1016/j.rse.2020.111914 #SMAP

B. Fang, Lakshmi, V., Bindlish, R. Jackson, T., Liu,P.,Evaluation and validation of a high spatial resolution satellite soil   moisture product over the Continental United States, Journal of Hydrology, Volume 588, 2020, 125043, ISSN 0022-
  1694, 10.1016/j.jhydrol.2020.125043

Ford, T. W., Quiring, S. M., Zhao, C., Leasor, Z. T., & Landry, C. (2020). Triple Collocation Evaluation of In Situ Soil   Moisture Observations from 1200+ Stations as part of the U.S. National Soil Moisture Network, Journal of   Hydrometeorology, 21(11), 2537-2549.

Gruber, A., G. De Lannoy, C. Albergel, A. Al-Yaari, L. Brocca, J.-C. Calvet, A. Colliander, M. Cosh, W. Crow, W. Dorigo,   C. Draper, M. Hirschi, Y. Kerr, A. Konings, W. Lahoz, K. McColl, C. Montzka, J. Muńoz-Sabater, J. Peng, R. Reichle, P.   Richaume, C. Rüdiger, T. Scanlon, R. van der Schalie, and W. Wagner (2020): Validation practices for satellite soil   moisture retrievals: What are (the) errors? Remote Sensing of Environment 244, 111806.   DOI:10.1016/j.rse.2020.111806

Sazib, N., J. Bolten, and I. Mladenova. 2020. "Exploring Spatiotemporal Relations between Soil Moisture, Precipitation,   and Streamflow for a Large Set of Watersheds Using Google Earth Engine." Water, 12 (5): 1371 [10.3390/w12051371]

Senyurek, V., Lei, F. N., Boyd, D., Kurum, M., Gurbuz, A. C., & Moorhead, R. (2020). Machine Learning-Based   CYGNSS Soil Moisture Estimates over ISMN sites in CONUS. Remote Sensing, 12(7). ARTN 1168. doi: 10.3390/
  rs12071168 #GNSS-R

Kang, C. S., Zhao, T., Shi, J., Cosh, M. H., Chen, Y., Starks, P. J., et al. (2020). Global Soil Moisture Retrievals From the   Chinese FY-3D Microwave Radiation Imager. Ieee Transactions on Geoscience and Remote Sensing, 1-15 doi:
  10.1109/TGRS.2020.3019408 #FY3

Kang, J.; Jin, R.; Li, X.; Zhang, Y. 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. Remote Sens.   2020, 12, 3087. https://doi.org/10.3390/rs12183087

S. Kim, H. T. Pham, Y. Y. Liu, L. Marshall and A. Sharma, "Improving the Combination of Satellite Soil Moisture Data   Sets by Considering Error Cross Correlation: A Comparison Between Triple Collocation (TC) and Extended Double   Instrumental Variable (EIVD) Alternatives," in IEEE Transactions on Geoscience and Remote Sensing, doi:   10.1109/TGRS.2020.3032418.

Yang, K., Chen, Y., He, J., Zhao, L., Lu, H., Qin, J., et al. (2020). Development of a daily soil moisture product for the   period of 2002–2011 in Chinese mainland. Science China Earth Sciences, 63(8), 1113-1125. doi: 10.1007/
  s11430-019-9588-5 #AMSR-E

Mladenova, I. E., J. D. Bolten, W. Crow, N. Sazib, and C. Reynolds. 2020. "Agricultural Drought Monitoring via the   Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model." Frontiers in Big Data, 3:   [10.3389/fdata.2020.00010]

Mousa, B. G., & Shu, H. (2020). Spatial Evaluation and Assimilation of SMAP, SMOS, and ASCAT Satellite Soil   Moisture Products Over Africa Using Statistical Techniques. Earth and Space Science, 7(1). UNSP e2019EA000841.   10.1029/2019EA000841 #SMAP, #SMOS, #ASCAT

Naz, B. S., Kollet, S., Franssen, H. J. H., Montzka, C., & Kurtz, W. (2020). A 3 km spatially and temporally consistent   European daily soil moisture reanalysis from 2000 to 2015. Scientific Data, 7(1). ARTN 111. doi: 10.1038/
  s41597-020-0450-6 #ESA CCI

Lv, S. N., Schalge, B., Garfias, P. S., & Simmer, C. (2020). Required sampling density of ground-based soil moisture   and brightness temperature observations for calibration and validation of L-band satellite observations based on a   virtual reality. Hydrology and Earth System Sciences, 24(4), 1957-1973. 10.5194/hess-24-1957-2020 #SMOS

Sabaghy, S., Walker, J. P., Renzullo, L. J., Akbar, R., Chan, S., Chaubell, J., et al. (2020). Comprehensive analysis of   alternative downscaled soil moisture products. Remote Sensing of Environment, 239. ARTN 111586.   10.1016/j.rse.2019.111586 #Airborne

Zappa, L., Woods, M., Hemment, D., Xaver, A., & Dorigo, W. (2020). Evaluation of Remotely Sensed Soil Moisture   Products using Crowdsourced Measurements. Eighth International Conference on Remote Sensing and   Geoinformation of the Environment (Rscy2020), 11524. Artn 115241u 10.1117/12.2571913. #SMAP, #ESA CCI

N. Ye, Walker, J., Wu, X., de Jeu, R., Gao, Y., Jackson, T., Jonard, F. et al., "The Soil Moisture Active Passive   Experiments: Validation of the SMAP Products in Australia," in IEEE Transactions on Geoscience and Remote Sensing,   doi: 10.1109/TGRS.2020.3007371.

Wu, X.; Lu, G.; Wu, Z.; He, H.; Scanlon, T.; Dorigo, W. Triple Collocation-Based Assessment of Satellite Soil Moisture   Products with In Situ Measurements in China: Understanding the Error Sources. Remote Sens. 2020, 12, 2275.   https://doi.org/10.3390/rs12142275.

2019

Mladenova, I. E., J. D. Bolten, W. T. Crow, N. Sazib, M. H. Cosh, C. J. Tucker, and C. Reynolds. 2019. "Evaluating the   Operational Application of SMAP for Global Agricultural Drought Monitoring." IEEE Journal of Selected Topics in   Applied Earth Observations and Remote Sensing, 1-11 [10.1109/jstars.2019.2923555]

Zhang, R., Kim, S., & Sharma, A. (2019). A comprehensive validation of the SMAP Enhanced Level-3 Soil Moisture   product using ground measurements over varied climates and landscapes. Remote Sensing of Environment, 223,
  82-94. 10.1016/j.rse.2019.01.015 #SMAP

Al-Yaari, A, Wigneron, J.-P., Dorigo, W., Colliander, A., Pellarin, T., Hahn, S., Mialon, A., Richaume, P., Fernandez-
  Moran, R., Fan, L, Kerr, Y.H., De Lannoyern, G. (2019). Assessment and Inter-Comparison of Recently Developed/
  Reprocessed Microwave Satellite Soil Moisture Products Using ISMN Ground-Based Measurements. Remote   Sensing of Environment 224: 289-303. https://doi.org/10.1016/j.rse.2019.02.008. #SMAP, #SMOS, #ASCAT, #CCI

Bhuiyan, H. A.K.M., H. McNairn, J. Powers, M. Friesen, A. Pacheco, T. J. Jackson, M. H. Cosh, A. Colliander, A. Berg, T.   Rowlandson, P. Bullock, and R. Magagi. (2018) Assessing SMAP Soil Moisture Scaling and Retrieval in the Carman   (Canada) Study Site. Vadose Zone J. 17:180132. https://doi.org/10.2136/vzj2018.07.0132. #SMAP

Chen, F., W.T. Crow, M.H. Cosh, A. Colliander, J. Asanuma, A. Berg, D.D. Bosch, T.G. Caldwell, C.H. Collins, K.H.   Jensen, J. MartÕnez-Fernąndez, H. McNairn, P.J. Starks, Z. Su, and J.P. Walker (2019) Uncertainty of Reference Pixel   Soil Moisture Averages Sampled at SMAP Core Validation Sites. J. Hydrometeor., 20, 1553-1569,   https://doi.org/10.1175/JHM-D-19-0049.1. #SMAP

Colliander, A., Cosh M. H., Misra, S., Jackson, T. J., Crow, W. T., Powers, J., McNairn, H., et al. (2019). Comparison of   High-Resolution Airborne Soil Moisture Retrievals to SMAP Soil Moisture during the SMAP Validation Experiment   2016 (SMAPVEX16). Remote Sensing of Environment 227: 137-50. https://doi.org/10.1016/j.rse.2019.04.004.   #SMAP

Ghilain, N., A. Arboleda, O. Batelaan, J. Ards’, I. Trigo, J.-M. Barrios, and F. Gellens-Meulenberghs. (2019). A New   Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites over   Europe and Africa and Its Validation. Remote Sensing 11 (17). https://doi.org/10.3390/rs11171968. #GOES

Khazäal, A., P. Richaume, F. Cabot, E. Anterrieu, A. Mialon and Y. H. Kerr (2019) Improving the Spatial Bias Correction   Algorithm in SMOS Image Reconstruction Processor: Validation of Soil Moisture Retrievals With In Situ Data. IEEE   Transactions on Geoscience and Remote Sensing, vol. 57, no. 1, pp. 277-290.   https://doi.org/10.1109/TGRS.2018.2853619. #SMOS

Ma, H., J. Zeng, N. Chen, X. Zhang, M. H Cosh, and W. Wang. (2019). Satellite Surface Soil Moisture from SMAP,   SMOS, AMSR2 and ESA CCI: A Comprehensive Assessment Using Global Ground-Based Observations. Remote   Sensing of Environment 231: 111215. https://doi.org/10.1016/j.rse.2019.111215. #SMAP, #SMOS, #AMSR2, #CCI

Molero, B., Leroux, D. J., Richaume, P., Kerr, Y. H., Merlin, O., Cosh, M. H., & Bindlish, R. (2018). Multi-timescale   analysis of the spatial representativeness of in situ soil moisture data within satellite footprints. Journal of   Geophysical Research: Atmospheres, 123, 3-21. https://doi.org/10.1002/2017JD027478. #SMOS, #AMSR2

2018

Chen, F., W. T. Crow, R. Bindlish, A. Colliander, M. S Burgin, J. Asanuma, and K. Aida. (2018). Global-Scale Evaluation   of SMAP, SMOS and ASCAT Soil Moisture Products Using Triple Collocation. Remote Sensing of Environment 214:   1-13. https://doi.org/10.1016/j.rse.2018.05.008. #SMAP, #SMOS, #ASCAT

Cui, C., J. Xu, J. Zeng, K.-S. Chen, X. Bai, H. Lu, Q. Chen, and T. Zhao. (2018). Soil Moisture Mapping from Satellites:   An Intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI over Two Dense Network Regions at Different   Spatial Scales. Remote Sensing 10 (1). https://doi.org/10.3390/rs10010033. #SMAP, #SMOS #AMSR2, #CCI

Hs’gstrs’m, E., Heim, B., Bartsch, A., Bergstedt, H., & Pointner, G. (2018). Evaluation of a MetOp ASCAT-derived surface   soil moisture product in tundra environments. Journal of Geophysical Research: Earth Surface, 123, 3190-3205.   https://doi.org/10.1029/2018JF004658. #ASCAT

Kim, H., R. Parinussa, A.G. Konings, W. Wagner, M.H. Cosh, V. Lakshmi, M. Zohaib, and M. Choi. (2018). Global-Scale   Assessment and Combination of SMAP with ASCAT (Active) and AMSR2 (Passive) Soil Moisture Products. Remote   Sensing of Environment 204. https://doi.org/10.1016/j.rse.2017.10.026. #SMAP, #ASCAT, #AMSR2

Santi, E, S Paloscia, S Pettinato, L Brocca, L Ciabatta, and D Entekhabi. (2018). On the Synergy of SMAP, AMSR2 AND   SENTINEL-1 for Retrieving Soil Moisture. International Journal of Applied Earth Observation and Geoinformation 65:   114-23. https://doi.org/10.1016/j.jag.2017.10.010. #SMAP, #AMSR2, #SENTINEL

Stillman, S. and X. Zeng, (2018). Evaluation of SMAP Soil Moisture Relative to Five Other Satellite Products Using the   Climate Reference Network Measurements Over USA. IEEE Transactions on Geoscience and Remote Sensing, vol.   56, no. 11, pp. 6296-6305. doi: 10.1109/TGRS.2018.2835316. #SMAP

2017

Colliander, A., T. J. Jackson, R. Bindlish, S. Chan, N. Das, S. B. Kim, M. H. Cosh, R. S. Dunbar, L. Dang, L. Pashaian,   J. Asanuma, K. Aida, A. Berg, T. Rowlandson, D. Bosch, T. Caldwell, K. Caylor, D. Goodrich, H. al Jassar, E.
  Lopez-Baeza, J. Martínez-Fernández, Á. González-Zamora, S. Livingston, H. McNairn, A. Pacheco, M. Moghaddam,
  C. Montzka, C. Notarnicola, G. Niedrist, T. Pellarin, J. Prueger, J. Pulliainen, K. Rautiainen, J. Ramos, M. Seyfried, P.   Starks, Z. Su, Y. Zeng, R. van der Velde, M. Thibeault, W. Dorigo, M. Vreugdenhil, J. P. Walker, X. Wu, A. Monerris, P.   E. O'Neill, D. Entekhabi, E. G. Njoku & S. Yueh (2017). Validation of SMAP surface soil moisture products with core   validation sites. Remote Sensing of Environment 191: 215-231. #SMAP

Mohanty, B. P., M. H. Cosh, V. Lakshmi & C. Montzka (2017). Soil Moisture Remote Sensing: State-of-the-Science.   Vadose Zone Journal 16(1). #SMAP, #SMOS, #ASCAT, #AMSR2

Montzka, C., H. R. Bogena, M. Zreda, A. Monerris, R. Morrison, S. Muddu & H. Vereecken (2017). Validation of   spaceborne and modelled surface soil moisture products with cosmic-ray neutron probes. Remote Sensing 9(2): 103.   #SMAP, #SMOS, #ASCAT, #AMSR2

Nilawar, A., C. Calderella, T. Lakhankar, M. Waikar & J. Munoz (2017). Satellite Soil Moisture Validation Using   Hydrological SWAT Model: A Case Study of Puerto Rico, USA. Hydrology 4(4): 45. #AMSR2

Zhang, X., T. Zhang, P. Zhou, Y. Shao & S. Gao (2017). Validation Analysis of SMAP and AMSR2 Soil Moisture   Products over the United States Using Ground-Based Measurements. Remote Sensing 9(2): 104. #SMAP, #AMSR2


2016

An, R., L. Zhang, Z. Wang, J. A. Quaye-Ballard, J. You, X. Shen, W. Gao, L. Huang, Y. Zhao & Z. Ke (2016). Validation   of the ESA CCI soil moisture product in China. International Journal of Applied Earth Observation and Geoinformation   48(Supplement C): 28-36. #ESA-CCI

Chan, S. K., R. Bindlish, P. E. O. Neill, E. Njoku, T. Jackson, A. Colliander, F. Chen, M. Burgin, S. Dunbar, J. Piepmeier,   S. Yueh, D. Entekhabi, M. H. Cosh, T. Caldwell, J. Walker, X. Wu, A. Berg, T. Rowlandson, A. Pacheco, H. McNairn, M.   Thibeault, J. Martínez-Fernández, González-Zamora, Á, M. Seyfried, D. Bosch, P. Starks, D. Goodrich, J. Prueger, M.   Palecki, E. E. Small, M. Zreda, J. C. Calvet, W. T. Crow & Y. Kerr (2016). Assessment of the SMAP Passive Soil   Moisture Product. IEEE Transactions on Geoscience and Remote Sensing 54(8): 4994-5007. #SMAP

Chen, F., W. T. Crow, A. Colliander, M. H. Cosh, T. J. Jackson, R. Bindlish, R. H. Reichle, S. K. Chan, D. D. Bosch, P. J.   Starks, D. C. Goodrich & M. S. Seyfried (2016). Application of Triple Collocation in Ground-Based Validation of Soil   Moisture Active & Passive (SMAP) Level 2 Data Products. IEEE Journal of Selected Topics in Applied Earth   Observations and Remote Sensing 10(2): 489-502. #SMAP

Gruber, A., C. H. Su, S. Zwieback, W. Crowd, W. Dorigo & W. Wagner (2016). Recent advances in (soil moisture) triple   collocation analysis. International Journal of Applied Earth Observation and Geoinformation 45: 200-211. #METHOD

Kerr, Y. H., A. Al-Yaari, N. Rodriguez-Fernandez, M. Parrens, B. Molero, D. Leroux, S. Bircher, A. Mahmoodi, A. Mialon,   P. Richaume, S. Delwart, A. Al Bitar, T. Pellarin, R. Bindlish, T. J. Jackson, C. RŁdiger, P. Waldteufel, S. Mecklenburg   & J. P. Wigneron (2016). Overview of SMOS performance in terms of global soil moisture monitoring after six years in   operation. Remote Sensing of Environment 180(Supplement C): 40-63. #SMOS

Molero, B., O. Merlin, Y. Malbéteau, A. Al Bitar, F. Cabot, V. Stefan, Y. Kerr, S. Bacon, M. H. Cosh, R. Bindlish & T. J.   Jackson (2016). SMOS disaggregated soil moisture product at 1 km resolution: Processor overview and first validation   results. Remote Sensing of Environment 180: 361-376. #SMOS

Montzka, C., T. Jagdhuber, R. Horn, H. Bogena, I. Hajnsek, A. Reigber & H. Vereecken (2016). Investigation of SMAP   fusion algorithms with airborne active and passive L-band microwave remote sensing. IEEE Trans. Geosc. Rem. Sens.   54(7): 3878 - 3889. #METHOD


2015

Colliander, A., T. Jackson, H. McNairn, S. Chazanoff, S. Dinardo, B. Latham, I. O'Dwyer, W. Chun, S. Yueh & E. Njoku   (2015). Comparison of Airborne Passive and Active L-Band System (PALS) Brightness Temperature Measurements to   SMOS Observations During the SMAP Validation Experiment 2012 (SMAPVEX12). Ieee Geoscience and Remote   Sensing Letters 12(4): 801-805. #SMOS

Dorigo, W. A., Gruber, A., De Jeu, R. A. M., Wagner, W., Stacke, T.,Loew, A., Albergel, C., Brocca, L., Chung, D.,   Paranussa, R.M. & Kidd, R. (2015). Evaluation of the ESA CCI soil moisture product using ground-based observations.   Remote Sensing of Environment 162, 380-395. #ESA-CCI

González-Zamora, Á., Sánchez, N., Martínez-Fernández, J., Gumuzzio, Á., Piles, M., & Olmedo, E. (2015). Long-term   SMOS soil moisture products: A comprehensive evaluation across scales and methods in the Duero BasiPiles, M. &   Olmedo, E. (2015). Long-term SMOS soil moisture products: A comprehensive evaluation across scales and methods   in the Duero Basin (Spain). Physics and Chemistry of the Earth, Parts A/B/C. #SMOS

Louvet, S., T. Pellarin, A. al Bitar, B. Cappelaere, S. Galle, M. Grippa, C. Gruhier, Y. Kerr, T. Lebel, A. Mialon, E. Mougin,   G. Quantin, P. Richaume & P. de Rosnay (2015). SMOS soil moisture product evaluation over West-Africa from local to   regional scale. Remote Sensing of Environment 156(Supplement C): 383-394. #SMOS

McNairn, H., T. J. Jackson, G. Wiseman, S. Bélair, A. Berg, P. Bullock, A. Colliander, M. H. Cosh, S. B. Kim, R. Magagi,   M. Moghaddam, E. G. Njoku, J. R. Adams, S. Homayouni, E. R. Ojo, T. L. Rowlandson, J. Shang, K. Goïta & M.   Hosseini (2015). The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration   and Validation of the SMAP Soil Moisture Algorithms. IEEE Transactions on Geoscience and Remote Sensing 53(5):   2784-2801. #SMAP

Pierdicca, N., F. Fascetti, L. Pulvirenti, R. Crapolicchio & J. MuŠoz-Sabater (2015). Quadruple Collocation Analysis for   Soil Moisture Product Assessment. IEEE Geoscience and Remote Sensing Letters 12(8): 1595-1599. #METHOD

Su, C. H. & Ryu, D. (2015). Multi-scale analysis of bias correction of soil moisture. Hydrology and Earth System   Sciences, /19/(1), 17-31. #METHOD

Su, C. H., Narsey, S. Y., Gruber, A., Xaver, A., Chung, D., Ryu, D. & Wagner, W. (2015). Evaluation of post-retrieval
  de-noising of active and passive microwave   retrievals over southeast Australia, Remote Sensing of Environment,   163, 127-139. #METHOD

Tomer, S., A. Al Bitar, M. Sekhar, M. Zribi, S. Bandyopadhyay, K. Sreelash, A. K. Sharma, S. Corgne & Y. Kerr (2015).   Retrieval and Multi-scale Validation of Soil Moisture from Multi-temporal SAR Data in a Semi-Arid Tropical Region.   Remote Sensing 7(6): 8128. #SAR

Kim, S., Liu, Y. Y., Johnson, F. M., Parinussa, R. M. & Sharma, A. (2015). A global comparison of alternate AMSR2 soil
  moisture products: Why do they differ?. Remote Sensing of Environment, 161, 43-62. #AMSR2


2014

Coopersmith, E. J., M. H. Cosh & C. S. T. Daughtry (2014). Field-scale moisture estimates using COSMOS sensors: A   validation study with temporary networks and Leaf-Area-Indices. Journal of Hydrology 519, Part A: 637-643.   #NETWORKS

Leroux, D. J., Y. H. Kerr, A. A. Bitar, R. Bindlish, T. J. Jackson, B. Berthelot & G. Portet (2014). Comparison Between   SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S. IEEE Transactions on   Geoscience and Remote Sensing 52(3): 1562-1571. #SMOS, AMSR-E, ASCAT

Mladenova, I.E., T.J. Jackson, E. Njoku, R. Bindlish, S. Chan, M.H. Cosh, T.R.H. Holmes, R.A.M. de Jeu, L. Jones, J.   Kimball, S. Paloscia, & Santi, E. (2014). Remote monitoring of soil moisture using passive microwave-based
  — Theoretical basis and overview of selected algorithms for AMSR-E, Remote Sensing of Environment, Volume 144,   Pages 197-213. #AMSR-E

Paulik, C., W. Dorigo, W. Wagner & R. Kidd (2014). Validation of the ASCAT Soil Water Index using in situ data from the   International Soil Moisture Network. International Journal of Applied Earth Observation and Geoinformation   30(Supplement C): 1-8. #ASCAT

Rötzer, K., C. Montzka, H. Bogena, W. Wagner, Y. H. Kerr, R. Kidd & H. Vereecken (2014). Catchment scale validation   of SMOS and ASCAT soil moisture products using hydrological modeling and temporal stability analysis. Journal of   Hydrology 519: 934-946. #SMOS,   #ASCAT

Wagner, W., Brocca, L., Naeimi, V., Reichle, R., Draper, C., de Jeu, R., Ryu, D., Su, C-H., Western, A. & Calvet, J-C.   (2014). Clarifications on the Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over   Four Watersheds in US, IEEE Transactions on Geoscience and Remote Sensing, 99, 1-6. #SMOS, #AMSR-E,   #ASCAT

Yilmaz, T.M. & Crow, W.T. (2014). Evaluation of assumptions in soil moisture triple collocation analysis. Journal of   Hydrometeorology 15 (3), 1293-1302. #METHOD


2013

Albergel, C., L. Brocca, W. Wagner, P. de Rosnay, & Calvet, J. (2013). Selection of Performance Metrics for Global Soil   Moisture Products: The Case of ASCAT Soil Moisture, pp. 431-447. In: Remote Sensing of Energy Fluxes and Soil   Moisture Content, Editor G. P. Petropoulos, CRC Press. #ASCAT

Bhatti, H. A., T. Rientjes, W. Verhoef & M. Yaseen (2013). Assessing Temporal Stability for Coarse Scale Satellite Moisture   Validation in the Maqu Area, Tibet. Sensors 13(8): 10725-10748. #NETWORK, #AMSR-E

Draper, C, R. Reichle, R. de Jeu, V. Naeimi, R. Parinussa, & Wagner, W. (2013). Estimating root mean square   remotely sensed soil moisture over continental scale domains, Remote Sensing of Environment, 137, 288-29.   #ASCAT, #AMSR-E

Gruber, A., W.A. Dorigo, S. Zwieback, A. Xaver & Wagner, W. (2013). Characterizing coarse-scale representativeness   of in-situ soil moisture measurements from the International Soil Moisture Network, Vadose Zone Journal, 12(2),
  DOI 10.2136/vzj2012.0170, 16 p. #METHOD, #NETWORK

Montzka, C., H. R. Bogena, L. WeihermŁller, F. Jonard, C. Bouzinac, J. Kainulainen, J. E. Balling, A. Loew, J. T.   dall'Amico, E. Rouhe, J. Vanderborght & H. Vereecken (2013). Brightness temperature and soil moisture validation at   different scales during the SMOS Validation Campaign in the Rur and Erft catchments, Germany. IEEE Transactions
  on Geoscience and Remote Sensing 51(3): 1728-1743. #SMOS

Paloscia, S., S. Pettinato, E. Santi, C. Notarnicola, L. Pasolli & A. Reppucci (2013). Soil moisture mapping using
   Sentinel-1 images: Algorithm and preliminary validation. Remote Sensing of Environment 134: 234-248. #SAR

Su, C.-H., D. Ryu, R.I. Young, A.W. Western & Wagner, W. (2013). Inter-comparison of microwave satellite soil moisture   retrievals over southeast Australia, Remote Sensing of Environment, 134, 1-11. #AMSR-E, #ASCAT, #SMOS

Wagner, W., S. Hahn, R. Kidd, T. Melzer, Z. Bartalis, S. Hasenauer, J. Figa-Saldana, P. de Rosnay, A. Jann, S.
  Schneider, J. Komma, G. Kubu, K. Brugger, C. Aubrecht, J. Zuger, U. Gangkofner, S. Kienberger, L. Brocca, Y. Wang,   G. Bloschl, J. Eitzinger, K. Steinnocher, P. Zeil & F. Rubel (2013). The ASCAT Soil Moisture Product: A Review of its   Specifications, Validation Results, and Emerging Applications. Meteorologische Zeitschrift 22(1): 5-33. #ASCAT


2012

Albergel, C., De Rosnay, P., Balsamo, G., Isaksen, L., & Muñoz-Sabater, J. (2012). Soil Moisture Analyses at   ECMWF:   Evaluation Using Global Ground-Based In Situ Observations. Journal of Hydrometeorology, 13, 1442-1460.   #NETWORKS

Albergel, C., de Rosnay, P., Gruhier, C., MuŠoz-Sabater, J., Hasenauer, S., Isaksen, L., Kerr, Y. & Wagner, W. (2012).   Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations.   Remote Sensing of Environment, 118, 215-226. #NETWORKS, #ASCAT, #SMOS

Bircher, S., J. E. Balling, N. Skou & Y. H. Kerr (2012). Validation of SMOS Brightness Temperatures During the HOBE   Airborne Campaign, Western Denmark. Ieee Transactions on Geoscience and Remote Sensing 50(5): 1468-1482.   #SMOS

Bircher, S., N. Skou & Y. H. Kerr (2013). Validation of SMOS L1C and L2 Products and Important Parameters of the   Retrieval Algorithm in the Skjern River Catchment, Western Denmark. Ieee Transactions on Geoscience and Remote   Sensing 51(5): 2969-2985. #SMOS

Collow, T.W., Robock, A., Basara, J.B. & Illston, B.G. (2012). Evaluation of SMOS retrievals of soil moisture over the   central United States with currently available in situ observations. Journal of Geophysical Research D: Atmospheres,
  117 (9), art. no. D09113. #SMOS

Crow, W., A. Berg, M. Cosh, A. Loew, B. Mohanty, R. Panciera, P. de Rosnay, D. Ryu, & Walker, J. (2012). Upscaling   sparse ground-based soil moisture observations for the validation of coarse-resolution satellite soil moisture products,   Reviews of Geophysics, 50, RG2002, doi:10.1029/2011RG000372. #NETWORKS, #METHOD

dall'Amico, J.T., Schlenz, F., Loew, A. & Mauser, W. (2012). First Results of SMOS Soil Moisture Validation in the Upper   Danube Catchment. IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 5. #SMOS

Dente, L., Z. Su & J. Wen (2012). Validation of SMOS Soil Moisture Products over the Maqu and Twente Regions.   Sensors 12: 9965-9986. #SMOS

Gherboudj, I., R. Magagi, K. Goïta, A. A. Berg, B. Toth & A. Walker (2012). Validation of SMOS Data Over Agricultural   and Boreal Forest Areas in Canada. Ieee Transactions on Geoscience and Remote Sensing 50(5): 1623-1635.   #SMOS

Jackson, T. J., Bindlish, R., Cosh, M. H., Zhao, T., Starks, P. J., Bosch, D. D., Moran, M. S., Seyfried, M. S., Kerr, Y. &   Leroux, D. (2012). SMOS validation of soil moisture and ocean salinity (SMOS) soil moisture over watershed networks   in the U.S., IEEE Transactions on Geoscience and Remote Sensing, 50: 1530-1543. #SMOS

Mecklenburg, S., Drusch, M., Kerr, Y. H., Font, J., Martin-Neira, M., Delwart, S., Crapolicchio, R. (2012). ESA's soil   moisture and ocean salinity mission: Mission performance and operations. IEEE Transactions on Geoscience and   Remote Sensing, 50(5 PART 1), 1354-1366.

Pan, M., Sahoo, A.K., Wood, E.F., Al Bitar, A., Leroux, D. & Kerr, Y.H. (2012). An initial assessment of SMOS derived   soil moisture over the continental United States. IEEE Journal of Selected Topics in Applied Earth Observations and   Remote Sensing, 5 (5), art. no. 6211458, pp. 1448-1457. #SMOS

Parrens, M., Zakharova, E., Lafont, S., Calvet, J.-C., Kerr, Y., Wagner, W. & Wigneron, J.-P. (2012). Comparing soil   moisture retrievals from SMOS and ASCAT over France, Hydrol. Earth Syst. Sci., 16,
  423-440, doi:10.5194/hess-16-423-2012. #SMOS, #ASCAT

Sanchez, N., J. Martínez-Fernández, A. Scaini & C. Perez-Gutierrez (2012). Validation of the SMOS L2 Soil Moisture   Data in the REMEDHUS Network (Spain). IEEE Transactions on Geoscience and Remote Sensing 50(5): 1602-1611.   #SMOS

Schlenz, F., dall'Amico, J.T., Loew, A. & Mauser, W. (2012). Uncertainty Assessment of the SMOS Validation in the   Upper Danube Catchment, IEEE Transactions on Geoscience and Remote Sensing, 50 (5), 1517-1529. #SMOS

Wanders, N., Karssenberg, D., Bierkens, M., Parinussa, R., de Jeu, R., van Dam, J. & de Jong, S. (2012). Observation   uncertainty of satellite soil moisture products determined with physically-based modeling. Remote Sensing of   Environment, 127, 341-356. #AMSR-E, #SMOS, #ASCAT, #METHOD

Zwieback, S., K. Scipal, W. Dorigo, & Wagner, W. (2012). Structural and statistical properties of the collocation   technique for error characterization, Nonlinear Processes in Geophysics, 19, 69-80. #METHOD


2011

Brocca L., Hasenauer, S., Lacava, T., Melone, F., Moramarco, T., Wagner, W., Dorigo, W., Matgen, P.,
  Martínez-Fernández, J., Llorens, P., Latron, J., Martin, C., & Bittelli, M. (2011). Soil Moisture estimation through   ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe, Remote Sensing of   Environment 115, pp.3390-3408. #ASCAT, #AMSR-E


2010

Brocca, L., F. Melone, T. Moramarco, W. Wagner & S. Hasenauer (2010). ASCAT soil wetness index validation through   in situ and modeled soil moisture data in central Italy. Remote Sensing of Environment 114(11): 2745-2755. #ASCAT

Entekhabi, D., R. Reichle, R. Koster & Crow, W. (2010). Performance metrics for soil moisture retrievals and   application requirements, Journal of Hydrometeorology, 11(3), 832-840. #METHOD

Jackson, T. J., Cosh, M. H., Bindlish, R., Starks, P. J., Bosch, D. D., Seyfried, M. S., Goodrich, D. C., & Moran, M. S.   (2010). Validation of Advanced Microwave Scanning Radiometer soil moisture products. IEEE Transactions on   Geoscience and Remote Sensing, 48: 4256-4272. 2010. #AMSR-E

Li, L., P. W. Gaiser, B. C. Gao, R. M. Bevilacqua, T. J. Jackson, E. G. Njoku, C. Rudiger, J. C. Calvet & R. Bindlish   (2010). WindSat Global Soil Moisture Retrieval and Validation. IEEE Transactions on Geoscience and Remote   Sensing 48(5): 2224-2241. #WINDSAT


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