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Generation of the ESA CCI soil moisture product (citation of these papers is compulsory when you use the ESA CCI product)

Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014.

Liu, Y. Y., Parinussa, R. M., Dorigo, W. A., De Jeu, R. A. M., Wagner, W., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. (2011). Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 15, 425-436, doi:10.5194/hess-15-425-2011.

Wagner, W., W. Dorigo, R. de Jeu, D. Fernandez, J. Benveniste, E. Haas, M. Ertl (2012) Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I-7, XXII ISPRS Congress, Melbourne, Australia, 25 August-1 September 2012, 315-321.

 

Special Issue

International Journal of Applied Earth Observation and Geoinformation. Volume 45, Part B, Pages 107-244 (March 2016) Advances in the Validation and Application of Remotely Sensed Soil Moisture - Part 1 Edited by Wouter A. Dorigo and Richard A.M. de Jeu.

International Journal of Applied Earth Observation and Geoinformation. Volume 48, Pages 1-174 (June 2016) Advances in the Validation and Application of Remotely Sensed Soil Moisture - Part 2 Edited by Wouter A. Dorigo and Richard A.M. de Jeu.

 

New since 2017

September

Park, J., Baik, J., Choi, M. (2017) Satellite-based crop coefficient and evapotranspiration using surface soil moisture and vegetation indices in Northeast Asia. CATENA, Volume 156, Pages 305-314, ISSN 0341-8162, https://doi.org/10.1016/j.catena.2017.04.013.

July



Dorigo, W. et al. (2017), ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2017.07.001.

June


Nicolai-Shaw, N., J. Zscheischler, M. Hirschi, L. Gudmundsson, and S. I. Seneviratne (2017), A drought event composite analysis using satellite remote sensing based soil moisture, Remote Sensing of Environment, doi:10.1016/j.rse.2017.06.014.

Kolassa, J., Gentine, P., Prigent, C., Aires, F., Alemohammad, S.H. (2017) Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation. Remote Sensing of Environment, Volume 195, Pages 202-217, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.04.020.

May

Cammalleri, C., Vogt, J. V., Bisselink, B., de Roo, A. (2017) Comparing soil moisture anomalies from multiple independent sources over different regions across the globe. Hydrology and Earth System Science Discussion, doi:10.5194/hess-2017-196.

Liu, Y., Wang, W., Hu, Y. (2017) Investigating the impact of surface soil moisture assimilation on state and parameter estimation in SWAT model based on the ensemble Kalman filter in upper Huai River basin. Journal of Hydrology and Hydromechanics 65(2): p. 123-133, doi:10.1515/johh-2017-0011.

Yan, H., Moradkhani, H., Zarekarizi, M. (2017) A probabilistic drought forecasting framework: A combined dynamical and statistical approach. Journal of Hydrology, Volume 548, Pages 291-304, ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2017.03.004.